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diff --git a/python-zipcodes.spec b/python-zipcodes.spec new file mode 100644 index 0000000..e44837e --- /dev/null +++ b/python-zipcodes.spec @@ -0,0 +1,813 @@ +%global _empty_manifest_terminate_build 0 +Name: python-zipcodes +Version: 1.2.0 +Release: 1 +Summary: Query U.S. state zipcodes without SQLite. +License: MIT +URL: https://github.com/seanpianka/zipcodes +Source0: https://mirrors.nju.edu.cn/pypi/web/packages/3f/3d/966a090aabed95c878b1c0ff9066d07566b3f6d3bb6d655517c631d40b3d/zipcodes-1.2.0.tar.gz +BuildArch: noarch + + +%description +# Zipcodes + +Zipcodes is a simple library for querying U.S. zipcodes. + +The Python `sqlite3` module is not required in order to use this package. + +```python +>>> import zipcodes +>>> assert zipcodes.is_real('77429') +>>> assert len(zipcodes.similar_to('7742')) != 0 +>>> exact_zip = zipcodes.matching('77429')[0] +>>> filtered_zips = zipcodes.filter_by(city="Cypress", state="TX") +>>> assert exact_zip in filtered_zips +>>> pprint.pprint(exact_zip) +{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}[ +``` + +⚠️ The zipcode data was last updated on: **Oct. 3, 2021** ⚠️ + +[](https://pepy.tech/project/zipcodes/month) +[](https://pypi.org/project/zipcodes) +[](https://github.com/seanpianka/zipcodes/graphs/contributors) + + +## Installation + +Zipcodes is available on PyPI: + +```console +$ python -m pip install zipcodes +``` + +Zipcodes supports Python 2.6+ and Python 3.2+. + +### Compiling with PyInstaller + +Add a data file to your PyInstaller bundle with the [`--add-data`](https://pyinstaller.readthedocs.io/en/stable/spec-files.html#adding-data-files) flag. + + +#### Linux and MacOS +`--add-data "<path-to-package-install>/zipcodes/zips.json.bz2:zipcodes"` + +#### Windows +`--add-data "<path-to-package-install>\zipcodes\zips.json.bz2;zipcodes"` + +## Zipcode Data + +The build script for the zipcode data outputs a JSON file containing all the zipcode data and zipped using bzip2. The data sources are stored under `build/app/data`. + +Build the zipcode data for distribution: + +```shell script +$ build/app/__init__.py # outputs `zipcodes/zips.json.bz2` +``` + + +## Tests + +The tests are defined in a declarative, table-based format that generates test +cases. + +Run the tests directly: + +```shell script +$ python tests/__init__.py +``` + +## Examples + +```python +>>> from pprint import pprint +>>> import zipcodes + +>>> # Simple zip-code matching. +>>> pprint(zipcodes.matching('77429')) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}] + + +>>> # Handles of Zip+4 zip-codes nicely. :) +>>> pprint(zipcodes.matching('77429-1145')) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}] + +>>> # Will try to handle invalid zip-codes gracefully... +>>> print(zipcodes.matching('06463')) +[] + +>>> # Until it cannot. +>>> zipcodes.matching('0646a') +Traceback (most recent call last): + ... +TypeError: Invalid characters, zipcode may only contain digits and "-". + +>>> zipcodes.matching('064690') +Traceback (most recent call last): + ... +TypeError: Invalid format, zipcode must be of the format: "#####" or "#####-####" + +>>> zipcodes.matching(None) +Traceback (most recent call last): + ... +TypeError: Invalid type, zipcode must be a string. + +>>> # Whether the zip-code exists within the database. +>>> print(zipcodes.is_real('06463')) +False + +>>> # How handy! +>>> print(zipcodes.is_real('06469')) +True + +>>> # Search for zipcodes that begin with a pattern. +>>> pprint(zipcodes.similar_to('1018')) +[{'acceptable_cities': [], + 'active': False, + 'area_codes': ['212'], + 'city': 'New York', + 'country': 'US', + 'county': 'New York County', + 'lat': '40.71', + 'long': '-74', + 'state': 'NY', + 'timezone': 'America/New_York', + 'unacceptable_cities': ['J C Penney'], + 'world_region': 'NA', + 'zip_code': '10184', + 'zip_code_type': 'UNIQUE'}, + {'acceptable_cities': [], + 'active': True, + 'area_codes': ['212'], + 'city': 'New York', + 'country': 'US', + 'county': 'New York County', + 'lat': '40.7143', + 'long': '-74.0067', + 'state': 'NY', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '10185', + 'zip_code_type': 'PO BOX'}] + +>>> # Use filter_by to filter a list of zip-codes by specific attribute->value pairs. +>>> pprint(zipcodes.filter_by(city="Old Saybrook")) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['860'], + 'city': 'Old Saybrook', + 'country': 'US', + 'county': 'Middlesex County', + 'lat': '41.3015', + 'long': '-72.3879', + 'state': 'CT', + 'timezone': 'America/New_York', + 'unacceptable_cities': ['Fenwick'], + 'world_region': 'NA', + 'zip_code': '06475', + 'zip_code_type': 'STANDARD'}] + +>>> # Arbitrary nesting of similar_to and filter_by calls, allowing for great precision while filtering. +>>> pprint(zipcodes.similar_to('2', zips=zipcodes.filter_by(active=True, city='Windsor'))) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['757'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Isle of Wight County', + 'lat': '36.8628', + 'long': '-76.7143', + 'state': 'VA', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '23487', + 'zip_code_type': 'STANDARD'}, + {'acceptable_cities': ['Askewville'], + 'active': True, + 'area_codes': ['252'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Bertie County', + 'lat': '35.9942', + 'long': '-76.9422', + 'state': 'NC', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '27983', + 'zip_code_type': 'STANDARD'}, + {'acceptable_cities': [], + 'active': True, + 'area_codes': ['803'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Aiken County', + 'lat': '33.4730', + 'long': '-81.5132', + 'state': 'SC', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '29856', + 'zip_code_type': 'STANDARD'}] + +>>> # Have any other ideas? Make a pull request and start contributing today! +>>> # Made with love by Sean Pianka +``` + + + + +%package -n python3-zipcodes +Summary: Query U.S. state zipcodes without SQLite. +Provides: python-zipcodes +BuildRequires: python3-devel +BuildRequires: python3-setuptools +BuildRequires: python3-pip +%description -n python3-zipcodes +# Zipcodes + +Zipcodes is a simple library for querying U.S. zipcodes. + +The Python `sqlite3` module is not required in order to use this package. + +```python +>>> import zipcodes +>>> assert zipcodes.is_real('77429') +>>> assert len(zipcodes.similar_to('7742')) != 0 +>>> exact_zip = zipcodes.matching('77429')[0] +>>> filtered_zips = zipcodes.filter_by(city="Cypress", state="TX") +>>> assert exact_zip in filtered_zips +>>> pprint.pprint(exact_zip) +{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}[ +``` + +⚠️ The zipcode data was last updated on: **Oct. 3, 2021** ⚠️ + +[](https://pepy.tech/project/zipcodes/month) +[](https://pypi.org/project/zipcodes) +[](https://github.com/seanpianka/zipcodes/graphs/contributors) + + +## Installation + +Zipcodes is available on PyPI: + +```console +$ python -m pip install zipcodes +``` + +Zipcodes supports Python 2.6+ and Python 3.2+. + +### Compiling with PyInstaller + +Add a data file to your PyInstaller bundle with the [`--add-data`](https://pyinstaller.readthedocs.io/en/stable/spec-files.html#adding-data-files) flag. + + +#### Linux and MacOS +`--add-data "<path-to-package-install>/zipcodes/zips.json.bz2:zipcodes"` + +#### Windows +`--add-data "<path-to-package-install>\zipcodes\zips.json.bz2;zipcodes"` + +## Zipcode Data + +The build script for the zipcode data outputs a JSON file containing all the zipcode data and zipped using bzip2. The data sources are stored under `build/app/data`. + +Build the zipcode data for distribution: + +```shell script +$ build/app/__init__.py # outputs `zipcodes/zips.json.bz2` +``` + + +## Tests + +The tests are defined in a declarative, table-based format that generates test +cases. + +Run the tests directly: + +```shell script +$ python tests/__init__.py +``` + +## Examples + +```python +>>> from pprint import pprint +>>> import zipcodes + +>>> # Simple zip-code matching. +>>> pprint(zipcodes.matching('77429')) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}] + + +>>> # Handles of Zip+4 zip-codes nicely. :) +>>> pprint(zipcodes.matching('77429-1145')) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}] + +>>> # Will try to handle invalid zip-codes gracefully... +>>> print(zipcodes.matching('06463')) +[] + +>>> # Until it cannot. +>>> zipcodes.matching('0646a') +Traceback (most recent call last): + ... +TypeError: Invalid characters, zipcode may only contain digits and "-". + +>>> zipcodes.matching('064690') +Traceback (most recent call last): + ... +TypeError: Invalid format, zipcode must be of the format: "#####" or "#####-####" + +>>> zipcodes.matching(None) +Traceback (most recent call last): + ... +TypeError: Invalid type, zipcode must be a string. + +>>> # Whether the zip-code exists within the database. +>>> print(zipcodes.is_real('06463')) +False + +>>> # How handy! +>>> print(zipcodes.is_real('06469')) +True + +>>> # Search for zipcodes that begin with a pattern. +>>> pprint(zipcodes.similar_to('1018')) +[{'acceptable_cities': [], + 'active': False, + 'area_codes': ['212'], + 'city': 'New York', + 'country': 'US', + 'county': 'New York County', + 'lat': '40.71', + 'long': '-74', + 'state': 'NY', + 'timezone': 'America/New_York', + 'unacceptable_cities': ['J C Penney'], + 'world_region': 'NA', + 'zip_code': '10184', + 'zip_code_type': 'UNIQUE'}, + {'acceptable_cities': [], + 'active': True, + 'area_codes': ['212'], + 'city': 'New York', + 'country': 'US', + 'county': 'New York County', + 'lat': '40.7143', + 'long': '-74.0067', + 'state': 'NY', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '10185', + 'zip_code_type': 'PO BOX'}] + +>>> # Use filter_by to filter a list of zip-codes by specific attribute->value pairs. +>>> pprint(zipcodes.filter_by(city="Old Saybrook")) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['860'], + 'city': 'Old Saybrook', + 'country': 'US', + 'county': 'Middlesex County', + 'lat': '41.3015', + 'long': '-72.3879', + 'state': 'CT', + 'timezone': 'America/New_York', + 'unacceptable_cities': ['Fenwick'], + 'world_region': 'NA', + 'zip_code': '06475', + 'zip_code_type': 'STANDARD'}] + +>>> # Arbitrary nesting of similar_to and filter_by calls, allowing for great precision while filtering. +>>> pprint(zipcodes.similar_to('2', zips=zipcodes.filter_by(active=True, city='Windsor'))) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['757'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Isle of Wight County', + 'lat': '36.8628', + 'long': '-76.7143', + 'state': 'VA', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '23487', + 'zip_code_type': 'STANDARD'}, + {'acceptable_cities': ['Askewville'], + 'active': True, + 'area_codes': ['252'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Bertie County', + 'lat': '35.9942', + 'long': '-76.9422', + 'state': 'NC', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '27983', + 'zip_code_type': 'STANDARD'}, + {'acceptable_cities': [], + 'active': True, + 'area_codes': ['803'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Aiken County', + 'lat': '33.4730', + 'long': '-81.5132', + 'state': 'SC', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '29856', + 'zip_code_type': 'STANDARD'}] + +>>> # Have any other ideas? Make a pull request and start contributing today! +>>> # Made with love by Sean Pianka +``` + + + + +%package help +Summary: Development documents and examples for zipcodes +Provides: python3-zipcodes-doc +%description help +# Zipcodes + +Zipcodes is a simple library for querying U.S. zipcodes. + +The Python `sqlite3` module is not required in order to use this package. + +```python +>>> import zipcodes +>>> assert zipcodes.is_real('77429') +>>> assert len(zipcodes.similar_to('7742')) != 0 +>>> exact_zip = zipcodes.matching('77429')[0] +>>> filtered_zips = zipcodes.filter_by(city="Cypress", state="TX") +>>> assert exact_zip in filtered_zips +>>> pprint.pprint(exact_zip) +{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}[ +``` + +⚠️ The zipcode data was last updated on: **Oct. 3, 2021** ⚠️ + +[](https://pepy.tech/project/zipcodes/month) +[](https://pypi.org/project/zipcodes) +[](https://github.com/seanpianka/zipcodes/graphs/contributors) + + +## Installation + +Zipcodes is available on PyPI: + +```console +$ python -m pip install zipcodes +``` + +Zipcodes supports Python 2.6+ and Python 3.2+. + +### Compiling with PyInstaller + +Add a data file to your PyInstaller bundle with the [`--add-data`](https://pyinstaller.readthedocs.io/en/stable/spec-files.html#adding-data-files) flag. + + +#### Linux and MacOS +`--add-data "<path-to-package-install>/zipcodes/zips.json.bz2:zipcodes"` + +#### Windows +`--add-data "<path-to-package-install>\zipcodes\zips.json.bz2;zipcodes"` + +## Zipcode Data + +The build script for the zipcode data outputs a JSON file containing all the zipcode data and zipped using bzip2. The data sources are stored under `build/app/data`. + +Build the zipcode data for distribution: + +```shell script +$ build/app/__init__.py # outputs `zipcodes/zips.json.bz2` +``` + + +## Tests + +The tests are defined in a declarative, table-based format that generates test +cases. + +Run the tests directly: + +```shell script +$ python tests/__init__.py +``` + +## Examples + +```python +>>> from pprint import pprint +>>> import zipcodes + +>>> # Simple zip-code matching. +>>> pprint(zipcodes.matching('77429')) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}] + + +>>> # Handles of Zip+4 zip-codes nicely. :) +>>> pprint(zipcodes.matching('77429-1145')) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['281', '832'], + 'city': 'Cypress', + 'country': 'US', + 'county': 'Harris County', + 'lat': '29.9857', + 'long': '-95.6548', + 'state': 'TX', + 'timezone': 'America/Chicago', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '77429', + 'zip_code_type': 'STANDARD'}] + +>>> # Will try to handle invalid zip-codes gracefully... +>>> print(zipcodes.matching('06463')) +[] + +>>> # Until it cannot. +>>> zipcodes.matching('0646a') +Traceback (most recent call last): + ... +TypeError: Invalid characters, zipcode may only contain digits and "-". + +>>> zipcodes.matching('064690') +Traceback (most recent call last): + ... +TypeError: Invalid format, zipcode must be of the format: "#####" or "#####-####" + +>>> zipcodes.matching(None) +Traceback (most recent call last): + ... +TypeError: Invalid type, zipcode must be a string. + +>>> # Whether the zip-code exists within the database. +>>> print(zipcodes.is_real('06463')) +False + +>>> # How handy! +>>> print(zipcodes.is_real('06469')) +True + +>>> # Search for zipcodes that begin with a pattern. +>>> pprint(zipcodes.similar_to('1018')) +[{'acceptable_cities': [], + 'active': False, + 'area_codes': ['212'], + 'city': 'New York', + 'country': 'US', + 'county': 'New York County', + 'lat': '40.71', + 'long': '-74', + 'state': 'NY', + 'timezone': 'America/New_York', + 'unacceptable_cities': ['J C Penney'], + 'world_region': 'NA', + 'zip_code': '10184', + 'zip_code_type': 'UNIQUE'}, + {'acceptable_cities': [], + 'active': True, + 'area_codes': ['212'], + 'city': 'New York', + 'country': 'US', + 'county': 'New York County', + 'lat': '40.7143', + 'long': '-74.0067', + 'state': 'NY', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '10185', + 'zip_code_type': 'PO BOX'}] + +>>> # Use filter_by to filter a list of zip-codes by specific attribute->value pairs. +>>> pprint(zipcodes.filter_by(city="Old Saybrook")) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['860'], + 'city': 'Old Saybrook', + 'country': 'US', + 'county': 'Middlesex County', + 'lat': '41.3015', + 'long': '-72.3879', + 'state': 'CT', + 'timezone': 'America/New_York', + 'unacceptable_cities': ['Fenwick'], + 'world_region': 'NA', + 'zip_code': '06475', + 'zip_code_type': 'STANDARD'}] + +>>> # Arbitrary nesting of similar_to and filter_by calls, allowing for great precision while filtering. +>>> pprint(zipcodes.similar_to('2', zips=zipcodes.filter_by(active=True, city='Windsor'))) +[{'acceptable_cities': [], + 'active': True, + 'area_codes': ['757'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Isle of Wight County', + 'lat': '36.8628', + 'long': '-76.7143', + 'state': 'VA', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '23487', + 'zip_code_type': 'STANDARD'}, + {'acceptable_cities': ['Askewville'], + 'active': True, + 'area_codes': ['252'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Bertie County', + 'lat': '35.9942', + 'long': '-76.9422', + 'state': 'NC', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '27983', + 'zip_code_type': 'STANDARD'}, + {'acceptable_cities': [], + 'active': True, + 'area_codes': ['803'], + 'city': 'Windsor', + 'country': 'US', + 'county': 'Aiken County', + 'lat': '33.4730', + 'long': '-81.5132', + 'state': 'SC', + 'timezone': 'America/New_York', + 'unacceptable_cities': [], + 'world_region': 'NA', + 'zip_code': '29856', + 'zip_code_type': 'STANDARD'}] + +>>> # Have any other ideas? Make a pull request and start contributing today! +>>> # Made with love by Sean Pianka +``` + + + + +%prep +%autosetup -n zipcodes-1.2.0 + +%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-zipcodes -f filelist.lst +%dir %{python3_sitelib}/* + +%files help -f doclist.lst +%{_docdir}/* + +%changelog +* Mon Apr 10 2023 Python_Bot <Python_Bot@openeuler.org> - 1.2.0-1 +- Package Spec generated |