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+%global _empty_manifest_terminate_build 0
+Name:		python-predicthq
+Version:	2.3.0
+Release:	1
+Summary:	PredictHQ Event Intelligence
+License:	MIT
+URL:		https://github.com/predicthq/sdk-py
+Source0:	https://mirrors.nju.edu.cn/pypi/web/packages/3f/61/40b552cb1610255605b464b9d2a4ef1acdc6e19b2557f058d6eb8b4d0a6a/predicthq-2.3.0.tar.gz
+BuildArch:	noarch
+
+Requires:	python3-requests
+Requires:	python3-schematics
+Requires:	python3-dateutil
+Requires:	python3-pytz
+
+%description
+For the latest source, discussions, bug reports, etc., please visit the [GitHub repository](https://github.com/predicthq/sdk-py)
+
+<p align="center"><img src="ext/logo.png" alt="PredictHQ logo"></p>
+
+# PredictHQ API Client for Python
+
+![PyPI](https://img.shields.io/pypi/v/predicthq)
+![Python](https://img.shields.io/pypi/pyversions/predicthq)
+![build](https://github.com/predicthq/sdk-py/actions/workflows/publish-to-test-pypi.yml/badge.svg)
+
+
+[PredictHQ](https://www.predicthq.com/) is the demand intelligence company combining real-world events into one global source of truth to help businesses better understand demand and plan for the future.
+
+## Installation
+
+The PredictHQ Python client is distributed as a pip package. You can simply install it by running
+
+```Shell
+pip install predicthq
+```
+
+## Usage
+
+We support all the endpoints available in our API.
+
+* `oauth2`
+* `accounts`
+* `broadcasts`
+* `events`
+* `features`
+* `places`
+* `radius`
+
+Please refer to our [API Documentation](https://docs.predicthq.com/) for a description of each endpoint.
+
+The [usecases/](https://github.com/predicthq/sdk-py/tree/master/usecases/pagination.py) folder is a good starting point to get familiar with the Python SDK.
+You can also review the [tests](https://github.com/predicthq/sdk-py/tree/master/tests/endpoints/v1/) for a kitchen sink of all the parameters available per endpoint.
+
+### Pagination
+
+Additional examples are available in [usecases/pagination.py](https://github.com/predicthq/sdk-py/tree/master/usecases/pagination.py) file.
+
+By default the `search()` method only returns the first page of results, with a default page size of 10.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for event in phq.events.search():
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+You can chain the `iter_all()` generator to iterate over *all* your events.
+
+```Python
+for event in phq.events.search().iter_all():
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+### Events endpoint
+
+Additional examples are available in [usecases/events](https://github.com/predicthq/sdk-py/tree/master/usecases/events) folder.
+
+The following example searches for the `Katy Perry` events (full text search) with rank level of 4 or 5 (rank >= 60) in the concerts category.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for event in phq.events.search(q="Katy Perry", rank_level=[4, 5], category="concerts"):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+Please refer to our [Events endpoint documentation](https://docs.predicthq.com/resources/events/) for the lists of search parameters and event fields available.
+
+### Broadcasts endpoint
+
+Additional examples are available in [usecases/broadcasts](https://github.com/predicthq/sdk-py/tree/master/usecases/broadcasts) folder.
+
+The following example searches for the broadcasts with PHQ viewership gte 100 and with event (the physical event the broadcast links to) label `nfl`.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for broadcast in phq.broadcasts.search(phq_viewership__gte=100, event__label="nfl"):
+    print(broadcast.event.title, broadcast.phq_viewership, broadcast.event.labels, broadcast.dates.start.strftime("%Y-%m-%d"))
+```
+
+Please refer to our [Broadcasts endpoint documentation](https://docs.predicthq.com/resources/broadcasts/) for the lists of search parameters and broadcast fields available.
+
+### Places endpoint
+
+Additional examples are available in [usecases/places.py](https://github.com/predicthq/sdk-py/tree/master/usecases/places.py) file.
+
+The following example searches for the `New York` places (full text search) in the US.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for place in phq.places.search(q="New York", country="US"):
+    print(place.id, place.name, place.type, place.location)
+```
+
+Please refer to our [Places endpoint documentation](https://docs.predicthq.com/resources/places/) for the lists of search parameters and place fields available.
+
+### Features endpoint
+
+The following example obtain features of events which are active between 2017-12-31 and 2018-01-02, with place_id 4671654. 
+
+Requested features:
+* rank_levels for public_holidays
+* count and median of sporting events which has a phq_rank greater than 50
+
+By place_id list (e.g. Austin):
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        location__place_id=[4671654],
+        phq_rank_public_holidays=True,
+        phq_attendance_sports__stats=["count", "median"],
+        phq_attendance_sports__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_attendance_sports.stats.count, feature.phq_rank_public_holidays.rank_levels)
+```
+by geo:
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        location__geo={
+            "lon": -97.74306,
+            "lat": 30.26715,
+            "radius": "150km"
+        },
+        phq_rank_public_holidays=True,
+        phq_attendance_sports__stats=["count", "median"],
+        phq_attendance_sports__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_attendance_sports.stats.count, feature.phq_rank_public_holidays.rank_levels)
+```
+
+The following example obtains features of broadcasts which are active between 2017-12-31 and 2018-01-02, with place_id 4671654
+
+Requested features:
+* count and median of broadcasts which start between 9am - 11am and have a `phq_rank` greater than 50
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        hour_of_day_start__gt=9,
+        hour_of_day_start__lte=11,
+        location__place_id=[4671654],
+        phq_viewership_sports_american_football__stats=["count", "median"],
+        phq_viewership_sports_american_football__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_viewership_sports_american_football.stats.count, feature.phq_viewership_sports_american_football.stats.median)
+```
+
+Please refer to our [Features endpoint documentation](https://docs.predicthq.com/start/features-api/) for the lists of supported features and response fields available.
+
+### Radius endpoint
+
+The following example obtain suggested radius to be used when retrieving events for location {"lat": 45.5051, "lon": -122.6750} and generic industry.
+
+Additional examples are available in [usecases/radius](https://github.com/predicthq/sdk-py/tree/master/usecases/radius) folder.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+suggested_radius = phq.radius.search(location__origin="45.5051,-122.6750")
+print(suggested_radius.radius, suggested_radius.radius_unit, suggested_radius.location.to_dict())
+```
+
+### Config parameters
+
+We support some `config` parameters for additional flexibility.
+
+Supported config parameters:
+- `verify_ssl`
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+# double underscore syntax
+for event in phq.events.search(config__verify_ssl=False):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+
+# dictionary syntax
+for event in phq.events.search(config={"verify_ssl": False}):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+
+## Running Tests
+
+```Shell
+pip install tox
+tox
+```
+
+## Found a Bug?
+
+Please [log an issue](https://github.com/predicthq/sdk-py/issues/new).
+
+
+%package -n python3-predicthq
+Summary:	PredictHQ Event Intelligence
+Provides:	python-predicthq
+BuildRequires:	python3-devel
+BuildRequires:	python3-setuptools
+BuildRequires:	python3-pip
+%description -n python3-predicthq
+For the latest source, discussions, bug reports, etc., please visit the [GitHub repository](https://github.com/predicthq/sdk-py)
+
+<p align="center"><img src="ext/logo.png" alt="PredictHQ logo"></p>
+
+# PredictHQ API Client for Python
+
+![PyPI](https://img.shields.io/pypi/v/predicthq)
+![Python](https://img.shields.io/pypi/pyversions/predicthq)
+![build](https://github.com/predicthq/sdk-py/actions/workflows/publish-to-test-pypi.yml/badge.svg)
+
+
+[PredictHQ](https://www.predicthq.com/) is the demand intelligence company combining real-world events into one global source of truth to help businesses better understand demand and plan for the future.
+
+## Installation
+
+The PredictHQ Python client is distributed as a pip package. You can simply install it by running
+
+```Shell
+pip install predicthq
+```
+
+## Usage
+
+We support all the endpoints available in our API.
+
+* `oauth2`
+* `accounts`
+* `broadcasts`
+* `events`
+* `features`
+* `places`
+* `radius`
+
+Please refer to our [API Documentation](https://docs.predicthq.com/) for a description of each endpoint.
+
+The [usecases/](https://github.com/predicthq/sdk-py/tree/master/usecases/pagination.py) folder is a good starting point to get familiar with the Python SDK.
+You can also review the [tests](https://github.com/predicthq/sdk-py/tree/master/tests/endpoints/v1/) for a kitchen sink of all the parameters available per endpoint.
+
+### Pagination
+
+Additional examples are available in [usecases/pagination.py](https://github.com/predicthq/sdk-py/tree/master/usecases/pagination.py) file.
+
+By default the `search()` method only returns the first page of results, with a default page size of 10.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for event in phq.events.search():
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+You can chain the `iter_all()` generator to iterate over *all* your events.
+
+```Python
+for event in phq.events.search().iter_all():
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+### Events endpoint
+
+Additional examples are available in [usecases/events](https://github.com/predicthq/sdk-py/tree/master/usecases/events) folder.
+
+The following example searches for the `Katy Perry` events (full text search) with rank level of 4 or 5 (rank >= 60) in the concerts category.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for event in phq.events.search(q="Katy Perry", rank_level=[4, 5], category="concerts"):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+Please refer to our [Events endpoint documentation](https://docs.predicthq.com/resources/events/) for the lists of search parameters and event fields available.
+
+### Broadcasts endpoint
+
+Additional examples are available in [usecases/broadcasts](https://github.com/predicthq/sdk-py/tree/master/usecases/broadcasts) folder.
+
+The following example searches for the broadcasts with PHQ viewership gte 100 and with event (the physical event the broadcast links to) label `nfl`.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for broadcast in phq.broadcasts.search(phq_viewership__gte=100, event__label="nfl"):
+    print(broadcast.event.title, broadcast.phq_viewership, broadcast.event.labels, broadcast.dates.start.strftime("%Y-%m-%d"))
+```
+
+Please refer to our [Broadcasts endpoint documentation](https://docs.predicthq.com/resources/broadcasts/) for the lists of search parameters and broadcast fields available.
+
+### Places endpoint
+
+Additional examples are available in [usecases/places.py](https://github.com/predicthq/sdk-py/tree/master/usecases/places.py) file.
+
+The following example searches for the `New York` places (full text search) in the US.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for place in phq.places.search(q="New York", country="US"):
+    print(place.id, place.name, place.type, place.location)
+```
+
+Please refer to our [Places endpoint documentation](https://docs.predicthq.com/resources/places/) for the lists of search parameters and place fields available.
+
+### Features endpoint
+
+The following example obtain features of events which are active between 2017-12-31 and 2018-01-02, with place_id 4671654. 
+
+Requested features:
+* rank_levels for public_holidays
+* count and median of sporting events which has a phq_rank greater than 50
+
+By place_id list (e.g. Austin):
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        location__place_id=[4671654],
+        phq_rank_public_holidays=True,
+        phq_attendance_sports__stats=["count", "median"],
+        phq_attendance_sports__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_attendance_sports.stats.count, feature.phq_rank_public_holidays.rank_levels)
+```
+by geo:
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        location__geo={
+            "lon": -97.74306,
+            "lat": 30.26715,
+            "radius": "150km"
+        },
+        phq_rank_public_holidays=True,
+        phq_attendance_sports__stats=["count", "median"],
+        phq_attendance_sports__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_attendance_sports.stats.count, feature.phq_rank_public_holidays.rank_levels)
+```
+
+The following example obtains features of broadcasts which are active between 2017-12-31 and 2018-01-02, with place_id 4671654
+
+Requested features:
+* count and median of broadcasts which start between 9am - 11am and have a `phq_rank` greater than 50
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        hour_of_day_start__gt=9,
+        hour_of_day_start__lte=11,
+        location__place_id=[4671654],
+        phq_viewership_sports_american_football__stats=["count", "median"],
+        phq_viewership_sports_american_football__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_viewership_sports_american_football.stats.count, feature.phq_viewership_sports_american_football.stats.median)
+```
+
+Please refer to our [Features endpoint documentation](https://docs.predicthq.com/start/features-api/) for the lists of supported features and response fields available.
+
+### Radius endpoint
+
+The following example obtain suggested radius to be used when retrieving events for location {"lat": 45.5051, "lon": -122.6750} and generic industry.
+
+Additional examples are available in [usecases/radius](https://github.com/predicthq/sdk-py/tree/master/usecases/radius) folder.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+suggested_radius = phq.radius.search(location__origin="45.5051,-122.6750")
+print(suggested_radius.radius, suggested_radius.radius_unit, suggested_radius.location.to_dict())
+```
+
+### Config parameters
+
+We support some `config` parameters for additional flexibility.
+
+Supported config parameters:
+- `verify_ssl`
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+# double underscore syntax
+for event in phq.events.search(config__verify_ssl=False):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+
+# dictionary syntax
+for event in phq.events.search(config={"verify_ssl": False}):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+
+## Running Tests
+
+```Shell
+pip install tox
+tox
+```
+
+## Found a Bug?
+
+Please [log an issue](https://github.com/predicthq/sdk-py/issues/new).
+
+
+%package help
+Summary:	Development documents and examples for predicthq
+Provides:	python3-predicthq-doc
+%description help
+For the latest source, discussions, bug reports, etc., please visit the [GitHub repository](https://github.com/predicthq/sdk-py)
+
+<p align="center"><img src="ext/logo.png" alt="PredictHQ logo"></p>
+
+# PredictHQ API Client for Python
+
+![PyPI](https://img.shields.io/pypi/v/predicthq)
+![Python](https://img.shields.io/pypi/pyversions/predicthq)
+![build](https://github.com/predicthq/sdk-py/actions/workflows/publish-to-test-pypi.yml/badge.svg)
+
+
+[PredictHQ](https://www.predicthq.com/) is the demand intelligence company combining real-world events into one global source of truth to help businesses better understand demand and plan for the future.
+
+## Installation
+
+The PredictHQ Python client is distributed as a pip package. You can simply install it by running
+
+```Shell
+pip install predicthq
+```
+
+## Usage
+
+We support all the endpoints available in our API.
+
+* `oauth2`
+* `accounts`
+* `broadcasts`
+* `events`
+* `features`
+* `places`
+* `radius`
+
+Please refer to our [API Documentation](https://docs.predicthq.com/) for a description of each endpoint.
+
+The [usecases/](https://github.com/predicthq/sdk-py/tree/master/usecases/pagination.py) folder is a good starting point to get familiar with the Python SDK.
+You can also review the [tests](https://github.com/predicthq/sdk-py/tree/master/tests/endpoints/v1/) for a kitchen sink of all the parameters available per endpoint.
+
+### Pagination
+
+Additional examples are available in [usecases/pagination.py](https://github.com/predicthq/sdk-py/tree/master/usecases/pagination.py) file.
+
+By default the `search()` method only returns the first page of results, with a default page size of 10.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for event in phq.events.search():
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+You can chain the `iter_all()` generator to iterate over *all* your events.
+
+```Python
+for event in phq.events.search().iter_all():
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+### Events endpoint
+
+Additional examples are available in [usecases/events](https://github.com/predicthq/sdk-py/tree/master/usecases/events) folder.
+
+The following example searches for the `Katy Perry` events (full text search) with rank level of 4 or 5 (rank >= 60) in the concerts category.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for event in phq.events.search(q="Katy Perry", rank_level=[4, 5], category="concerts"):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+Please refer to our [Events endpoint documentation](https://docs.predicthq.com/resources/events/) for the lists of search parameters and event fields available.
+
+### Broadcasts endpoint
+
+Additional examples are available in [usecases/broadcasts](https://github.com/predicthq/sdk-py/tree/master/usecases/broadcasts) folder.
+
+The following example searches for the broadcasts with PHQ viewership gte 100 and with event (the physical event the broadcast links to) label `nfl`.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for broadcast in phq.broadcasts.search(phq_viewership__gte=100, event__label="nfl"):
+    print(broadcast.event.title, broadcast.phq_viewership, broadcast.event.labels, broadcast.dates.start.strftime("%Y-%m-%d"))
+```
+
+Please refer to our [Broadcasts endpoint documentation](https://docs.predicthq.com/resources/broadcasts/) for the lists of search parameters and broadcast fields available.
+
+### Places endpoint
+
+Additional examples are available in [usecases/places.py](https://github.com/predicthq/sdk-py/tree/master/usecases/places.py) file.
+
+The following example searches for the `New York` places (full text search) in the US.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for place in phq.places.search(q="New York", country="US"):
+    print(place.id, place.name, place.type, place.location)
+```
+
+Please refer to our [Places endpoint documentation](https://docs.predicthq.com/resources/places/) for the lists of search parameters and place fields available.
+
+### Features endpoint
+
+The following example obtain features of events which are active between 2017-12-31 and 2018-01-02, with place_id 4671654. 
+
+Requested features:
+* rank_levels for public_holidays
+* count and median of sporting events which has a phq_rank greater than 50
+
+By place_id list (e.g. Austin):
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        location__place_id=[4671654],
+        phq_rank_public_holidays=True,
+        phq_attendance_sports__stats=["count", "median"],
+        phq_attendance_sports__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_attendance_sports.stats.count, feature.phq_rank_public_holidays.rank_levels)
+```
+by geo:
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        location__geo={
+            "lon": -97.74306,
+            "lat": 30.26715,
+            "radius": "150km"
+        },
+        phq_rank_public_holidays=True,
+        phq_attendance_sports__stats=["count", "median"],
+        phq_attendance_sports__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_attendance_sports.stats.count, feature.phq_rank_public_holidays.rank_levels)
+```
+
+The following example obtains features of broadcasts which are active between 2017-12-31 and 2018-01-02, with place_id 4671654
+
+Requested features:
+* count and median of broadcasts which start between 9am - 11am and have a `phq_rank` greater than 50
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+for feature in phq.features.obtain_features(
+        active__gte="2017-12-31",
+        active__lte="2018-01-02",
+        hour_of_day_start__gt=9,
+        hour_of_day_start__lte=11,
+        location__place_id=[4671654],
+        phq_viewership_sports_american_football__stats=["count", "median"],
+        phq_viewership_sports_american_football__phq_rank={
+            "gt": 50
+        }
+):
+    print(feature.date, feature.phq_viewership_sports_american_football.stats.count, feature.phq_viewership_sports_american_football.stats.median)
+```
+
+Please refer to our [Features endpoint documentation](https://docs.predicthq.com/start/features-api/) for the lists of supported features and response fields available.
+
+### Radius endpoint
+
+The following example obtain suggested radius to be used when retrieving events for location {"lat": 45.5051, "lon": -122.6750} and generic industry.
+
+Additional examples are available in [usecases/radius](https://github.com/predicthq/sdk-py/tree/master/usecases/radius) folder.
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+suggested_radius = phq.radius.search(location__origin="45.5051,-122.6750")
+print(suggested_radius.radius, suggested_radius.radius_unit, suggested_radius.location.to_dict())
+```
+
+### Config parameters
+
+We support some `config` parameters for additional flexibility.
+
+Supported config parameters:
+- `verify_ssl`
+
+```Python
+from predicthq import Client
+
+phq = Client(access_token="abc123")
+
+
+# double underscore syntax
+for event in phq.events.search(config__verify_ssl=False):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+
+# dictionary syntax
+for event in phq.events.search(config={"verify_ssl": False}):
+    print(event.rank, event.category, event.title, event.start.strftime("%Y-%m-%d"))
+```
+
+
+## Running Tests
+
+```Shell
+pip install tox
+tox
+```
+
+## Found a Bug?
+
+Please [log an issue](https://github.com/predicthq/sdk-py/issues/new).
+
+
+%prep
+%autosetup -n predicthq-2.3.0
+
+%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-predicthq -f filelist.lst
+%dir %{python3_sitelib}/*
+
+%files help -f doclist.lst
+%{_docdir}/*
+
+%changelog
+* Wed May 10 2023 Python_Bot <Python_Bot@openeuler.org> - 2.3.0-1
+- Package Spec generated