automatic import of python-zipcodes

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+%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** ⚠️
+
+[![Downloads](https://pepy.tech/badge/zipcodes/month)](https://pepy.tech/project/zipcodes/month)
+[![Supported Versions](https://img.shields.io/pypi/pyversions/zipcodes.svg)](https://pypi.org/project/zipcodes)
+[![Contributors](https://img.shields.io/github/contributors/seanpianka/zipcodes.svg)](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** ⚠️
+
+[![Downloads](https://pepy.tech/badge/zipcodes/month)](https://pepy.tech/project/zipcodes/month)
+[![Supported Versions](https://img.shields.io/pypi/pyversions/zipcodes.svg)](https://pypi.org/project/zipcodes)
+[![Contributors](https://img.shields.io/github/contributors/seanpianka/zipcodes.svg)](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** ⚠️
+
+[![Downloads](https://pepy.tech/badge/zipcodes/month)](https://pepy.tech/project/zipcodes/month)
+[![Supported Versions](https://img.shields.io/pypi/pyversions/zipcodes.svg)](https://pypi.org/project/zipcodes)
+[![Contributors](https://img.shields.io/github/contributors/seanpianka/zipcodes.svg)](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