| Name | fuzzquery JSON |
| Version |
24.5.28
JSON |
| download |
| home_page | None |
| Summary | A lightweight package for fuzzy word/phrase searches in a body of text. |
| upload_time | 2024-05-30 07:20:28 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | >=3.8 |
| license | None |
| keywords |
fuzzy
string
match
filter
regex
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
fuzzquery 24.5.28
=================
**fuzzquery** is a lightweight package for fuzzy word/phrase searches in a body of text. Tokens are used to determine the number and type of approximations that can be made at a token’s position, within your query.
Installation
------------
To install ``fuzzquery`` use the following command-line:
.. code-block:: console
pip install fuzzquery
Documentation
-------------
The official documents can be viewed at `readthedocs <https://fuzzquery.readthedocs.io/>`_.
A version of documents can be viewed by calling python's built-in ``help`` function on any part of the **fuzzquery** package.
Examples
--------
finditer
++++++++
.. code-block:: python
import fuzzquery as fq
data = """
I would classify music as one of my favorite hobbies.
I love classical music played by classy musicians for a classic musical.
Beethoven can not be out-classed, music-wise - a man of class, musically gifted.
"""
query = 'class{4} music{5}'
print(f'\n{query.upper()} using skip')
for span, match in fq.finditer(data, query, skip=('classify', ','), ci=True):
print(f' {match}')
print(f'\n{query.upper()} no skip')
for span, match in fq.finditer(data, query, ci=True):
print(f' {match}')
**output:**
.. code-block:: console
CLASS{4} MUSIC{5}
classify music
classical music
classy musicians
classic musical
classed, music-wise
class, musically
CLASS{4} MUSIC{5} with skip
classical music
classy musicians
classic musical
iterall
+++++++
.. code-block:: python
import fuzzquery as fq
data = """
I headed homeward to meet with the Wardens.
When I arrived, I was greeted by a homely man that told me the homestead was awarded 5 million dollars.
We intend to use some of the homage to create a homeless ward.
The first piece of furniture will be my late-friend Homer's wardrobe.
"""
queries = ('home{5}',
'home{4} ward{4}',
'{1}ward{=2}{2}',
'hom{6} {4w} wa{=1}{5}')
for query, span, match in fq.iterall(data, queries, ci=True):
if query: print(f'\n{query.upper()}')
print(f' {match}')
**output:**
.. code-block:: console
HOME{5}
homeward
homely
homestead
homeless
Homer's
HOME{4} WARD{4}
homeless ward
Homer's wardrobe
{1}WARD{=2}{2}
Wardens
awarded
wardrobe
HOM{6} {4W} WA{=1}{5}
homeward to meet with the Wardens
homestead was
homage to create a homeless ward
Homer's wardrobe
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"description": "fuzzquery 24.5.28\r\n=================\r\n\r\n**fuzzquery** is a lightweight package for fuzzy word/phrase searches in a body of text. Tokens are used to determine the number and type of approximations that can be made at a token\u2019s position, within your query.\r\n\r\nInstallation\r\n------------\r\n\r\nTo install ``fuzzquery`` use the following command-line: \r\n\r\n.. code-block:: console\r\n\r\n pip install fuzzquery\r\n\r\nDocumentation\r\n-------------\r\n\r\nThe official documents can be viewed at `readthedocs <https://fuzzquery.readthedocs.io/>`_.\r\nA version of documents can be viewed by calling python's built-in ``help`` function on any part of the **fuzzquery** package. \r\n\r\nExamples\r\n--------\r\n\r\nfinditer\r\n++++++++\r\n\r\n.. code-block:: python\r\n\r\n import fuzzquery as fq\r\n\r\n data = \"\"\" \r\n I would classify music as one of my favorite hobbies. \r\n I love classical music played by classy musicians for a classic musical. \r\n Beethoven can not be out-classed, music-wise - a man of class, musically gifted.\r\n \"\"\"\r\n query = 'class{4} music{5}'\r\n \r\n print(f'\\n{query.upper()} using skip')\r\n for span, match in fq.finditer(data, query, skip=('classify', ','), ci=True):\r\n print(f' {match}')\r\n \r\n print(f'\\n{query.upper()} no skip')\r\n for span, match in fq.finditer(data, query, ci=True):\r\n print(f' {match}')\r\n\r\n**output:**\r\n\r\n.. code-block:: console\r\n\r\n CLASS{4} MUSIC{5}\r\n classify music\r\n classical music\r\n classy musicians\r\n classic musical\r\n classed, music-wise\r\n class, musically\r\n\r\n CLASS{4} MUSIC{5} with skip\r\n classical music\r\n classy musicians\r\n classic musical\r\n\r\niterall\r\n+++++++\r\n\r\n.. code-block:: python\r\n\r\n import fuzzquery as fq\r\n \r\n data = \"\"\" \r\n I headed homeward to meet with the Wardens. \r\n When I arrived, I was greeted by a homely man that told me the homestead was awarded 5 million dollars.\r\n We intend to use some of the homage to create a homeless ward. \r\n The first piece of furniture will be my late-friend Homer's wardrobe.\r\n \"\"\"\r\n \r\n queries = ('home{5}', \r\n 'home{4} ward{4}', \r\n '{1}ward{=2}{2}', \r\n 'hom{6} {4w} wa{=1}{5}')\r\n \r\n for query, span, match in fq.iterall(data, queries, ci=True):\r\n if query: print(f'\\n{query.upper()}')\r\n print(f' {match}')\r\n\r\n**output:**\r\n\r\n.. code-block:: console\r\n\r\n HOME{5}\r\n homeward\r\n homely\r\n homestead\r\n homeless\r\n Homer's\r\n \r\n HOME{4} WARD{4}\r\n homeless ward\r\n Homer's wardrobe\r\n \r\n {1}WARD{=2}{2}\r\n Wardens\r\n awarded\r\n wardrobe\r\n \r\n HOM{6} {4W} WA{=1}{5}\r\n homeward to meet with the Wardens\r\n homestead was\r\n homage to create a homeless ward\r\n Homer's wardrobe\r\n",
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