Skip to main content
=========
dtpattern
=========


A library to detect abstract patterns over a list of values


Description
===========

This library tries to summaries a list of values using an abstract pattern language.

In a nutshell, the algorithm works like this.

1) Try to find shared character sequences using a SuffixTree
2) split patterns into shared sequences and non-shared sequences
3) try to aggregate non-shared sequences

We start by parsign the strings in their original format and detect shared character sequences.
next, we map the input characters to their respective unicode categories and perform again a shared pattern sequence approach


Install
=======
1. Using pip install::

#>pip install dtpattern

2. Using the source from the repository
This should be straight forward
a) git checkout
b) python setup.py install|develop


Pattern representation
======================

We represent a pattern based on the unicode categories (UCs).
For a list of used unicode categories just run::

#> dtpattern ucs
A(0) 'L | M | N | P | Z | C | S'
L(1) 'Lu | Ll | Lt | Lm | Lo'
LC(11) 'Lu | Ll | Lt'
Lu(112) 'an uppercase letter' sample=['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I', 'J']
Ll(113) 'a lowercase letter' sample=['a', 'b', 'c', 'd', 'e', 'f', 'g', 'h', 'i', 'j']
Lt(114) 'a digraphic character, with first part uppercase' sample=['Dž', 'Lj', 'Nj', 'Dz', 'ᾈ', 'ᾉ', 'ᾊ', 'ᾋ', 'ᾌ', 'ᾍ']
Lm(12) 'a modifier letter' sample=['ʰ', 'ʱ', 'ʲ', 'ʳ', 'ʴ', 'ʵ', 'ʶ', 'ʷ', 'ʸ', 'ʹ']
Lo(13) 'other letters, including syllables and ideographs' sample=['ª', 'º', 'ƻ', 'ǀ', 'ǁ', 'ǂ', 'ǃ', 'ʔ', 'א', 'ב']
M(2) 'Mn | Mc | Me'
Mn(21) 'a nonspacing combining mark (zero advance width)' sample=['̀', '́', '̂', '̃', '̄', '̅', '̆', '̇', '̈', '̉']
Mc(22) 'a spacing combining mark (positive advance width)' sample=['ः', 'ऻ', 'ा', 'ि', 'ी', 'ॉ', 'ॊ', 'ो', 'ौ', 'ॎ']
Me(23) 'an enclosing combining mark' sample=['҈', '҉', '᪾', '⃝', '⃞', '⃟', '⃠', '⃢', '⃣', '⃤']
N(3) 'Nd | Nl | No'
Nd(31) 'a decimal digit' sample=['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
Nl(32) 'a letterlike numeric character' sample=['ᛮ', 'ᛯ', 'ᛰ', 'Ⅰ', 'Ⅱ', 'Ⅲ', 'Ⅳ', 'Ⅴ', 'Ⅵ', 'Ⅶ']
No(33) 'a numeric character of other type' sample=['²', '³', '¹', '¼', '½', '¾', '৴', '৵', '৶', '৷']
P(4) 'Pc | Pd | Ps | Pe | Pi | Pf | Po)'
Pc(41) 'a connecting punctuation mark, like a tie' sample=['_', '‿', '⁀', '⁔', '︳', '︴', '﹍', '﹎', '﹏', '_']
Pd(42) 'a dash or hyphen punctuation mark' sample=['-', '֊', '־', '᐀', '᠆', '‐', '‑', '‒', '–', '—']
Ps(43) 'an opening punctuation mark (of a pair)' sample=['(', '[', '{', '༺', '༼', '᚛', '‚', '„', '⁅', '⁽']
Pe(44) 'a closing punctuation mark (of a pair)' sample=[')', ']', '}', '༻', '༽', '᚜', '⁆', '⁾', '₎', '⌉']
Pi(45) 'an initial quotation mark' sample=['«', '‘', '‛', '“', '‟', '‹', '⸂', '⸄', '⸉', '⸌']
Pf(46) 'a final quotation mark' sample=['»', '’', '”', '›', '⸃', '⸅', '⸊', '⸍', '⸝', '⸡']
Po(47) 'a punctuation mark of other type' sample=['!', '"', '#', '%', '&', "'", '*', ',', '.', '/']
S(5) 'Sm | Sc | Sk | So'
Sm(51) 'a symbol of mathematical use' sample=['+', '<', '=', '>', '|', '~', '¬', '±', '×', '÷']
Sc(52) 'a currency sign' sample=['$', '¢', '£', '¤', '¥', '֏', '؋', '৲', '৳', '৻']
Sk(53) 'a non-letterlike modifier symbol' sample=['^', '`', '¨', '¯', '´', '¸', '˂', '˃', '˄', '˅']
So(54) 'a symbol of other type' sample=['¦', '©', '®', '°', '҂', '֍', '֎', '؎', '؏', '۞']
Z(6) 'Zs | Zl | Zp'
Zs(61) 'a space character (of various non-zero widths)' sample=[' ', '\xa0', '\u1680', '\u2000', '\u2001', '\u2002', '\u2003', '\u2004', '\u2005', '\u2006']
Zl(62) 'U+2028 LINE SEPARATOR only' sample=['\u2028']
Zp(63) 'U+2029 PARAGRAPH SEPARATOR only' sample=['\u2029']
C(7) 'Cc | Cf | Cs | Co | Cn'
Cc(71) 'a C0 or C1 control code' sample=['\x00', '\x01', '\x02', '\x03', '\x04', '\x05', '\x06', '\x07', '\x08', '\t']
Cf(72) 'a format control character' sample=['\xad', '\u0600', '\u0601', '\u0602', '\u0603', '\u0604', '\u0605', '\u061c', '\u06dd', '\u070f']
Cs(73) 'a surrogate code point' sample=['\ud800', '\ud801', '\ud802', '\ud803', '\ud804', '\ud805', '\ud806', '\ud807', '\ud808', '\ud809']
Co(74) 'a private-use character' sample=['\ue000', '\ue001', '\ue002', '\ue003', '\ue004', '\ue005', '\ue006', '\ue007', '\ue008', '\ue009']
Cn(75) 'a reserved unassigned code point or a noncharacter' sample=['\u0378', '\u0379', '\u0380', '\u0381', '\u0382', '\u0383', '\u038b', '\u038d', '\u03a2', '\u0530']

In addition, we try to summaries UCs based on their hierachy.

**possible representations**
+----------+---------------------------------------------------------+
| Pattern Example | Meaning |
+==========+=========================================================+
| Lu | One upper case character |
+----------+---------------------------------------------------------+
| Lu** | LuLuLu | Lu3 | Three upper case character |
+----------+---------------------------------------------------------+
| Lu?? | Lu{1,3} | One to three upper case character |
+----------+---------------------------------------------------------+
| Lu**?? | Lu{3,5 | Three to five upper case character |
+----------+---------------------------------------------------------+
| (Lu3)#3 | Three values have an optional Lu3 pattern |
+----------+---------------------------------------------------------+
| [Lu,Po]{1,4} | There are one to four characters which are either Lu or Po |
+----------+---------------------------------------------------------+


Examples
========

a) *Address zip codes*::

#>dtpattern demo -p address -m zip_code

datagenerator(local=en, size=10, provider=address, method=zip_code)

-- en-address.zip_code
--------------------------------------------- DATA ----------------------------------------------
|33797|80214|70736|89278|07142|77897|47476|69332|45411|31792|
-------------------------------------------------------------------------------------------------
RESULT_PATTERN(pattern=[FIX_SYMB(symbol=31, len=5)], count=10)
CALL: pattern_to_string(pat, collapse_level=0)
>> NdNdNdNdNd
CALL: pattern_to_string(pat, collapse_level=1)
>> Nd****
CALL: pattern_to_string(pat, collapse_level=2)
>> Nd5
CALL: pattern_to_string( higher_level(pat), collapse_level=2)
PAT(pattern=[FIX_SYMB(symbol=31, len=5)], count=10)
>> Nd5

We can see that all input values consist of exactly 5 digits, as such the final pattern **Nd5**


b) *datetime date*::

dtpattern demo -p datetime -m date

datagenerator(local=en, size=10, provider=datetime, method=date)

-- en-datetime.date
----------------------------------------- DATA ------------------------------------------
|12/12/2022|09/30/2026|01/04/2011|04/20/2017|12/16/2008|12/05/2005|11/26/2003|11/21/2023|
|12/10/2003|05/27/2003|
-----------------------------------------------------------------------------------------
RESULT_PATTERN(pattern=[FIX_SYMB(symbol=31, len=2), FIX_SYMB(symbol=47, len=1), FIX_SYMB(symbol=31, len=2), FIX_SYMB(symbol=47, len=1), FIX_SYMB(symbol=31, len=4)], count=10)
CALL: pattern_to_string(pat, collapse_level=0)
>> NdNd Po NdNd Po NdNdNdNd
CALL: pattern_to_string(pat, collapse_level=1)
>> Nd* Po Nd* Po Nd***
CALL: pattern_to_string(pat, collapse_level=2)
>> Nd2 Po Nd2 Po Nd4
CALL: pattern_to_string( higher_level(pat), collapse_level=2)
PAT(pattern=[FIX_SYMB(symbol=31, len=2), FIX_SYMB(symbol=47, len=1), FIX_SYMB(symbol=31, len=2), FIX_SYMB(symbol=47, len=1), FIX_SYMB(symbol=31, len=4)], count=10)
>> Nd2 Po Nd2 Po Nd4

This example has as input date values and the final pattern is **Nd2 Po Nd2 Po Nd4** (*two digits (Nd2), a whitespace (Po), two digits (Nd2), another whitespace (Po) and four more digits (Nd4)

Note
====

The documentation is currently very vague and requires further work.
We try to cleanup and document our algorithm.

This project has been set up using PyScaffold 3.0.3. For details and usage
information on PyScaffold see http://pyscaffold.org/.

Metadata

Release files for dtpattern 0.7

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for dtpattern 0.7
File Size Uploaded Provenance Actions
dtpattern-0.7.tar.gz 159.2 kB Without provenance Details for dtpattern-0.7.tar.gz

Built distribution (wheel)

Table of built distributions (wheels) for dtpattern 0.7
File Interpreter ABI Platform Actions
dtpattern-0.7-py2.py3-none-any.whl Python 2, Python 3 none any Details for dtpattern-0.7-py2.py3-none-any.whl

Total release size: 216.9 kB

Release files / dtpattern-0.7.tar.gz

Download URL dtpattern-0.7.tar.gz
Size 159.2 kB
Tags Source
SHA-256 checksum
How to use checksums
6adb29f5dd63c36e55dd36ea90fc33eef2ab6e209a86982619fae17460f94efc
BLAKE2b-256 checksum
How to use checksums
31e1e00190ff25c5aa821b6c1d4bbf4d58748d2da5311cd82cf3649f7ebbd47f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Release files / dtpattern-0.7-py2.py3-none-any.whl

Download URL dtpattern-0.7-py2.py3-none-any.whl
Size 57.8 kB
Tags Python 2 Python 3
SHA-256 checksum
How to use checksums
752f78b4706749439f1e33d49cd55833c6bcfbd06b4a8fbc910ede6f96aa4ad0
BLAKE2b-256 checksum
How to use checksums
bcdc2628116e573dc8ca2654854972175ce0e230b18ff73050ea327ffaf557b8
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No

Security for dtpattern 0.7

Provenance

Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.

No provenance found

None of the files in this release were uploaded with provenance metadata.

A note on package security

PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.

To learn more about protecting yourself from malicious actors, visit our package security documentation.

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page