pybmoore 2.2.0
Python/Cython implementation of Boyer-Moore string-search algorithm
Requires Python: >=3.10
Keywords: search, boyer-moore, text-search

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# pybmoore

Python/Cython implementation of [Boyer-Moore string-search algorithm](https://en.wikipedia.org/wiki/Boyer%E2%80%93Moore_string-search_algorithm).

## Installing

Install and update using uv:

````bash
uv pip install pybmoore
````

> notice: `gcc` must be available on the system.

## Usage

### Single term

The search method in the `pybmoore` module will return a list of tuples with all occurrences, where the tuple have the initial and final position. For example:

```python
import pybmoore


TEXT = """The Boyer–Moore string-search algorithm is 
an efficient string-searching algorithm that is the 
standard benchmark for practical string-search literature.
"""

matches = pybmoore.search('string', TEXT)
print(f"Occurrences: {len(matches)}")
# output: Occurrences: 3

print(matches)
# output: [(16, 22), (57, 63), (130, 136)]

for x, y in matches:
    print(f"({x},{y}) - {TEXT[x:y]}")
```

> notice: search method it's case sensitive.


```python
import pybmoore


TEXT = """The algorithm preprocesses the string being searched for (the pattern), 
but not the string being searched in (the text). It is thus well-suited for 
applications in which the pattern is much shorter than the text or where it 
persists across multiple searches.
"""

pybmoore.search('algorithm', TEXT)
# output: [(4, 13)]

pybmoore.search('Algorithm', TEXT)
# output: []
```

### Multiple terms

```python
from concurrent.futures import ProcessPoolExecutor, ThreadPoolExecutor

import pybmoore


TEXT = """The Boyer-Moore algorithm searches for occurrences of P in T by 
performing explicit character comparisons at different alignments. Instead of a 
brute-force search of all alignments (of which there are m − n + 1, Boyer-Moore 
uses information gained by preprocessing P to skip as many alignments as possible.
"""

# Using a list of patterns
pybmoore.search_m(['brute-force', 'Boyer-Moore'], TEXT, ProcessPoolExecutor)
# output: {'brute-force': [(146, 157)], 'Boyer-Moore': [(4, 15), (214, 225)]}

# Using a set of patterns
pybmoore.search_m({'brute-force', 'Boyer-Moore'}, TEXT, ThreadPoolExecutor)
# output: {'brute-force': [(146, 157)], 'Boyer-Moore': [(4, 15), (214, 225)]}

# Using a tuple of patterns
pybmoore.search_m(('brute-force', 'Boyer-Moore'), TEXT, ThreadPoolExecutor, max_workers=4)
# output: {'brute-force': [(146, 157)], 'Boyer-Moore': [(4, 15), (214, 225)]}
```

> Details

For granular control of the pool, use the parameters listed in the module documentation. For example:

## Development

To build **pybmoore** locally first install `requirements-dev.txt` dependencies and run:

```bash
make build # without Cython

make build USE_CYTHON=1 # with Cython
```

> in some cases it's necesary run `make clean` before `make build`.

Type `make` in the command line to see all available targets.

## Links

- License: [Apache License](https://choosealicense.com/licenses/apache-2.0/)
- Code: [https://github.com/amenezes/pybmoore](https://github.com/amenezes/pybmoore)
- Issue tracker: [https://github.com/amenezes/pybmoore/issues](https://github.com/amenezes/pybmoore/issues)