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pip

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Copyright © 2018, [Encode OSS Ltd](https://www.encode.io/).
All rights reserved.
Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:
* Redistributions of source code must retain the above copyright notice, this
list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice,
this list of conditions and the following disclaimer in the documentation
and/or other materials provided with the distribution.
* Neither the name of the copyright holder nor the names of its
contributors may be used to endorse or promote products derived from
this software without specific prior written permission.
THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE
FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL
DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR
SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER
CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY,
OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE
OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

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Metadata-Version: 2.1
Name: starlette
Version: 0.13.6
Summary: The little ASGI library that shines.
Home-page: https://github.com/encode/starlette
Author: Tom Christie
Author-email: tom@tomchristie.com
License: BSD
Platform: UNKNOWN
Classifier: Development Status :: 3 - Alpha
Classifier: Environment :: Web Environment
Classifier: Intended Audience :: Developers
Classifier: License :: OSI Approved :: BSD License
Classifier: Operating System :: OS Independent
Classifier: Topic :: Internet :: WWW/HTTP
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Requires-Python: >=3.6
Description-Content-Type: text/markdown
Provides-Extra: full
Requires-Dist: aiofiles ; extra == 'full'
Requires-Dist: graphene ; extra == 'full'
Requires-Dist: itsdangerous ; extra == 'full'
Requires-Dist: jinja2 ; extra == 'full'
Requires-Dist: python-multipart ; extra == 'full'
Requires-Dist: pyyaml ; extra == 'full'
Requires-Dist: requests ; extra == 'full'
Requires-Dist: ujson ; extra == 'full'
<p align="center">
<a href="https://www.starlette.io/"><img width="420px" src="https://raw.githubusercontent.com/encode/starlette/master/docs/img/starlette.png" alt='starlette'></a>
</p>
<p align="center">
<em>✨ The little ASGI framework that shines. ✨</em>
</p>
<p align="center">
<a href="https://github.com/encode/starlette/actions">
<img src="https://github.com/encode/starlette/workflows/Test%20Suite/badge.svg" alt="Build Status">
</a>
<a href="https://pypi.org/project/starlette/">
<img src="https://badge.fury.io/py/starlette.svg" alt="Package version">
</a>
</p>
---
**Documentation**: [https://www.starlette.io/](https://www.starlette.io/)
**Community**: [https://discuss.encode.io/c/starlette](https://discuss.encode.io/c/starlette)
---
# Starlette
Starlette is a lightweight [ASGI](https://asgi.readthedocs.io/en/latest/) framework/toolkit,
which is ideal for building high performance asyncio services.
It is production-ready, and gives you the following:
* Seriously impressive performance.
* WebSocket support.
* GraphQL support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on `requests`.
* CORS, GZip, Static Files, Streaming responses.
* Session and Cookie support.
* 100% test coverage.
* 100% type annotated codebase.
* Zero hard dependencies.
## Requirements
Python 3.6+
## Installation
```shell
$ pip3 install starlette
```
You'll also want to install an ASGI server, such as [uvicorn](http://www.uvicorn.org/), [daphne](https://github.com/django/daphne/), or [hypercorn](https://pgjones.gitlab.io/hypercorn/).
```shell
$ pip3 install uvicorn
```
## Example
**example.py**:
```python
from starlette.applications import Starlette
from starlette.responses import JSONResponse
from starlette.routing import Route
async def homepage(request):
return JSONResponse({'hello': 'world'})
routes = [
Route("/", endpoint=homepage)
]
app = Starlette(debug=True, routes=routes)
```
Then run the application using Uvicorn:
```shell
$ uvicorn example:app
```
For a more complete example, see [encode/starlette-example](https://github.com/encode/starlette-example).
## Dependencies
Starlette does not have any hard dependencies, but the following are optional:
* [`requests`][requests] - Required if you want to use the `TestClient`.
* [`aiofiles`][aiofiles] - Required if you want to use `FileResponse` or `StaticFiles`.
* [`jinja2`][jinja2] - Required if you want to use `Jinja2Templates`.
* [`python-multipart`][python-multipart] - Required if you want to support form parsing, with `request.form()`.
* [`itsdangerous`][itsdangerous] - Required for `SessionMiddleware` support.
* [`pyyaml`][pyyaml] - Required for `SchemaGenerator` support.
* [`graphene`][graphene] - Required for `GraphQLApp` support.
* [`ujson`][ujson] - Required if you want to use `UJSONResponse`.
You can install all of these with `pip3 install starlette[full]`.
## Framework or Toolkit
Starlette is designed to be used either as a complete framework, or as
an ASGI toolkit. You can use any of its components independently.
```python
from starlette.responses import PlainTextResponse
async def app(scope, receive, send):
assert scope['type'] == 'http'
response = PlainTextResponse('Hello, world!')
await response(scope, receive, send)
```
Run the `app` application in `example.py`:
```shell
$ uvicorn example:app
INFO: Started server process [11509]
INFO: Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
```
Run uvicorn with `--reload` to enable auto-reloading on code changes.
## Modularity
The modularity that Starlette is designed on promotes building re-usable
components that can be shared between any ASGI framework. This should enable
an ecosystem of shared middleware and mountable applications.
The clean API separation also means it's easier to understand each component
in isolation.
## Performance
Independent TechEmpower benchmarks show Starlette applications running under Uvicorn
as [one of the fastest Python frameworks available](https://www.techempower.com/benchmarks/#section=data-r17&hw=ph&test=fortune&l=zijzen-1). *(\*)*
For high throughput loads you should:
* Make sure to install `ujson` and use `UJSONResponse`.
* Run using gunicorn using the `uvicorn` worker class.
* Use one or two workers per-CPU core. (You might need to experiment with this.)
* Disable access logging.
Eg.
```shell
gunicorn -w 4 -k uvicorn.workers.UvicornWorker --log-level warning example:app
```
Several of the ASGI servers also have pure Python implementations available,
so you can also run under `PyPy` if your application code has parts that are
CPU constrained.
Either programatically:
```python
uvicorn.run(..., http='h11', loop='asyncio')
```
Or using Gunicorn:
```shell
gunicorn -k uvicorn.workers.UvicornH11Worker ...
```
<p align="center">&mdash; ⭐️ &mdash;</p>
<p align="center"><i>Starlette is <a href="https://github.com/encode/starlette/blob/master/LICENSE.md">BSD licensed</a> code. Designed & built in Brighton, England.</i></p>
[requests]: http://docs.python-requests.org/en/master/
[aiofiles]: https://github.com/Tinche/aiofiles
[jinja2]: http://jinja.pocoo.org/
[python-multipart]: https://andrew-d.github.io/python-multipart/
[graphene]: https://graphene-python.org/
[itsdangerous]: https://pythonhosted.org/itsdangerous/
[sqlalchemy]: https://www.sqlalchemy.org
[pyyaml]: https://pyyaml.org/wiki/PyYAMLDocumentation
[ujson]: https://github.com/esnme/ultrajson

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