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|
%global _empty_manifest_terminate_build 0
Name: python-fingerprints
Version: 1.1.0
Release: 1
Summary: A library to generate entity fingerprints.
License: MIT
URL: http://github.com/alephdata/fingerprints
Source0: https://mirrors.nju.edu.cn/pypi/web/packages/1a/4a/953982950ddd39da097c6e527aba8ca080c02cd76577c946295dfe2d02ed/fingerprints-1.1.0.tar.gz
BuildArch: noarch
Requires: python3-normality
Requires: python3-pytest
Requires: python3-pytest-cov
Requires: python3-mypy
Requires: python3-black
Requires: python3-pyyaml
Requires: python3-types-pyyaml
Requires: python3-bump2version
%description
# fingerprints
This library helps with the generation of fingerprints for entity data. A fingerprint
in this context is understood as a simplified entity identifier, derived from it's
name or address and used for cross-referencing of entity across different datasets.
## Usage
```python
import fingerprints
fp = fingerprints.generate('Mr. Sherlock Holmes')
assert fp == 'holmes sherlock'
fp = fingerprints.generate('Siemens Aktiengesellschaft')
assert fp == 'ag siemens'
fp = fingerprints.generate('New York, New York')
assert fp == 'new york'
```
## Company type names
A significant part of what `fingerprints` does it to recognize company legal form
names. For example, `fingerprints` will be able to simplify `Общество с ограниченной ответственностью` to `ООО`, or `Aktiengesellschaft` to `AG`. The required database
is based on two different sources:
* A [Google Spreadsheet](https://docs.google.com/spreadsheets/d/1Cw2xQ3hcZOAgnnzejlY5Sv3OeMxKePTqcRhXQU8rCAw/edit?ts=5e7754cf#gid=0) created by OCCRP.
* The ISO 20275: [Entity Legal Forms Code List](https://www.gleif.org/en/about-lei/code-lists/iso-20275-entity-legal-forms-code-list)
Wikipedia also maintains an index of [types of business entity](https://en.wikipedia.org/wiki/Types_of_business_entity).
## See also
* [Clustering in Depth](https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth), part of the OpenRefine documentation discussing how to create collisions in data clustering.
* [probablepeople](https://github.com/datamade/probablepeople), parser for western names made by the brilliant folks at datamade.us.
%package -n python3-fingerprints
Summary: A library to generate entity fingerprints.
Provides: python-fingerprints
BuildRequires: python3-devel
BuildRequires: python3-setuptools
BuildRequires: python3-pip
%description -n python3-fingerprints
# fingerprints
This library helps with the generation of fingerprints for entity data. A fingerprint
in this context is understood as a simplified entity identifier, derived from it's
name or address and used for cross-referencing of entity across different datasets.
## Usage
```python
import fingerprints
fp = fingerprints.generate('Mr. Sherlock Holmes')
assert fp == 'holmes sherlock'
fp = fingerprints.generate('Siemens Aktiengesellschaft')
assert fp == 'ag siemens'
fp = fingerprints.generate('New York, New York')
assert fp == 'new york'
```
## Company type names
A significant part of what `fingerprints` does it to recognize company legal form
names. For example, `fingerprints` will be able to simplify `Общество с ограниченной ответственностью` to `ООО`, or `Aktiengesellschaft` to `AG`. The required database
is based on two different sources:
* A [Google Spreadsheet](https://docs.google.com/spreadsheets/d/1Cw2xQ3hcZOAgnnzejlY5Sv3OeMxKePTqcRhXQU8rCAw/edit?ts=5e7754cf#gid=0) created by OCCRP.
* The ISO 20275: [Entity Legal Forms Code List](https://www.gleif.org/en/about-lei/code-lists/iso-20275-entity-legal-forms-code-list)
Wikipedia also maintains an index of [types of business entity](https://en.wikipedia.org/wiki/Types_of_business_entity).
## See also
* [Clustering in Depth](https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth), part of the OpenRefine documentation discussing how to create collisions in data clustering.
* [probablepeople](https://github.com/datamade/probablepeople), parser for western names made by the brilliant folks at datamade.us.
%package help
Summary: Development documents and examples for fingerprints
Provides: python3-fingerprints-doc
%description help
# fingerprints
This library helps with the generation of fingerprints for entity data. A fingerprint
in this context is understood as a simplified entity identifier, derived from it's
name or address and used for cross-referencing of entity across different datasets.
## Usage
```python
import fingerprints
fp = fingerprints.generate('Mr. Sherlock Holmes')
assert fp == 'holmes sherlock'
fp = fingerprints.generate('Siemens Aktiengesellschaft')
assert fp == 'ag siemens'
fp = fingerprints.generate('New York, New York')
assert fp == 'new york'
```
## Company type names
A significant part of what `fingerprints` does it to recognize company legal form
names. For example, `fingerprints` will be able to simplify `Общество с ограниченной ответственностью` to `ООО`, or `Aktiengesellschaft` to `AG`. The required database
is based on two different sources:
* A [Google Spreadsheet](https://docs.google.com/spreadsheets/d/1Cw2xQ3hcZOAgnnzejlY5Sv3OeMxKePTqcRhXQU8rCAw/edit?ts=5e7754cf#gid=0) created by OCCRP.
* The ISO 20275: [Entity Legal Forms Code List](https://www.gleif.org/en/about-lei/code-lists/iso-20275-entity-legal-forms-code-list)
Wikipedia also maintains an index of [types of business entity](https://en.wikipedia.org/wiki/Types_of_business_entity).
## See also
* [Clustering in Depth](https://github.com/OpenRefine/OpenRefine/wiki/Clustering-In-Depth), part of the OpenRefine documentation discussing how to create collisions in data clustering.
* [probablepeople](https://github.com/datamade/probablepeople), parser for western names made by the brilliant folks at datamade.us.
%prep
%autosetup -n fingerprints-1.1.0
%build
%py3_build
%install
%py3_install
install -d -m755 %{buildroot}/%{_pkgdocdir}
if [ -d doc ]; then cp -arf doc %{buildroot}/%{_pkgdocdir}; fi
if [ -d docs ]; then cp -arf docs %{buildroot}/%{_pkgdocdir}; fi
if [ -d example ]; then cp -arf example %{buildroot}/%{_pkgdocdir}; fi
if [ -d examples ]; then cp -arf examples %{buildroot}/%{_pkgdocdir}; fi
pushd %{buildroot}
if [ -d usr/lib ]; then
find usr/lib -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/lib64 ]; then
find usr/lib64 -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/bin ]; then
find usr/bin -type f -printf "/%h/%f\n" >> filelist.lst
fi
if [ -d usr/sbin ]; then
find usr/sbin -type f -printf "/%h/%f\n" >> filelist.lst
fi
touch doclist.lst
if [ -d usr/share/man ]; then
find usr/share/man -type f -printf "/%h/%f.gz\n" >> doclist.lst
fi
popd
mv %{buildroot}/filelist.lst .
mv %{buildroot}/doclist.lst .
%files -n python3-fingerprints -f filelist.lst
%dir %{python3_sitelib}/*
%files help -f doclist.lst
%{_docdir}/*
%changelog
* Fri May 05 2023 Python_Bot <Python_Bot@openeuler.org> - 1.1.0-1
- Package Spec generated
|
