Metadata-Version: 2.1
Name: fasttextsearch
Version: 0.10
Summary: Some fast-ish algorithms for batch text search in moderate-sized collections, intended for data cleanup.
Author-email: Next-gen Kaldi development team <wkang.pku@gmail.com>
Project-URL: Homepage, https://github.com/k2-fsa/text_search
Project-URL: Bug Tracker, https://github.com/k2-fsa/text_search/issues
Classifier: Programming Language :: Python :: 3
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Operating System :: OS Independent
Requires-Python: >=3.7
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: regex

# Installation

## With pip

```
pip install fasttextsearch
```

## For developers

```bash
pip install numpy

git clone https://github.com/danpovey/text_search
cd text_search

mkdir build
cd build
cmake ..
make -j
make test

# set PYTHONPATH so that you can use "import textsearch"

export PYTHONPATH=$PWD/../textsearch/python:$PWD/lib:$PYTHONPATH
```

Now you can use

```bash
python3 -c "import textsearch; print(textsearch.__file__)"
```


**Caution**: We did not use either `python3 setup.py install` or `pip install`.
We only set the environment variable `PYTHONPATH`.


