semvec/pypi-packages huggingface dataset:
winui 0.1.1
This package name is reserved by Microsoft Corporation

This is not a usable Python package, but the name is
reserved by Microsoft Corporation.

Visit `aka.ms/Python <https://aka.ms/python>`_ for information about
tools and products released by Microsoft for Python developers.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_

See `www.microsoft.com/trademarks <https://www.microsoft.com/trademarks/>`_
for full details on Microsoft's trademarks and how you may use them correctly.
windows 0.1.1
This package name is reserved by Microsoft Corporation

This is not a usable Python package, but the name is
reserved by Microsoft Corporation.

Visit `aka.ms/Python <https://aka.ms/python>`_ for information about
tools and products released by Microsoft for Python developers.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_

See `www.microsoft.com/trademarks <https://www.microsoft.com/trademarks/>`_
for full details on Microsoft's trademarks and how you may use them correctly.
visualstudio 0.1.2
This package name is reserved by Microsoft Corporation

This is not a usable Python package, but the name is
reserved by Microsoft Corporation.

Visit `aka.ms/Python <https://aka.ms/python>`_ for information about
tools and products released by Microsoft for Python developers.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_

See `www.microsoft.com/trademarks <https://www.microsoft.com/trademarks/>`_
for full details on Microsoft's trademarks and how you may use them correctly.
projectoxford 1.0.1
Deprecated Project Oxford SDK. Install `projectoxford<1` for legacy versions.

This package has been deprecated and should no longer be used.

To continue using the old version of this package, please install
``projectoxford < 1`` or ``projectoxford <= 0.2`` for the older version.

Visit `docs.microsoft.com/python/api/overview/azure/cognitive-services <https://docs.microsoft.com/python/api/overview/azure/cognitive-services>`_
for information about using the new Azure Cognitive Services APIs to
perform similar functionality.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_
onedrivesdk 2.0.1
Deprecated OneDrive SDK. Install `onedrivesdk<2` for legacy versions.

This package has been deprecated and should no longer be used.

To continue using the old version of this package, please install
``onedrivesdk < 2``.

Visit `docs.microsoft.com/graph/onedrive-concept-overview <https://docs.microsoft.com/graph/onedrive-concept-overview>`_ for
information about using the new Microsoft Graph APIs to access and manage
OneDrive accounts.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_
minecraft 0.1.2
This package name is reserved by Microsoft Corporation

This is not a usable Python package, but the name is
reserved by Microsoft Corporation.

Visit `aka.ms/Python <https://aka.ms/python>`_ for information about
tools and products released by Microsoft for Python developers.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_

See `www.microsoft.com/trademarks <https://www.microsoft.com/trademarks/>`_
for full details on Microsoft's trademarks and how you may use them correctly.
microsoft 0.1.2
This package name is reserved by Microsoft Corporation

This is not a usable Python package, but the name is
reserved by Microsoft Corporation.

Visit `aka.ms/Python <https://aka.ms/python>`_ for information about
tools and products released by Microsoft for Python developers.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_

See `www.microsoft.com/trademarks <https://www.microsoft.com/trademarks/>`_
for full details on Microsoft's trademarks and how you may use them correctly.
cortana 0.1.2
This package name is reserved by Microsoft Corporation

This is not a usable Python package, but the name is
reserved by Microsoft Corporation.

Visit `aka.ms/Python <https://aka.ms/python>`_ for information about
tools and products released by Microsoft for Python developers.

You can find other packages published by Microsoft at
`pypi.org/user/microsoft <https://pypi.org/user/microsoft/>`_

See `www.microsoft.com/trademarks <https://www.microsoft.com/trademarks/>`_
for full details on Microsoft's trademarks and how you may use them correctly.
qclient-ax1 1.0.1
Client for executing quantum applications at qserver
Requires Python: >=3.6

# qclient

## Install

```sh
pip install qserver
```

## Usage

```python
import qclient
from sys import argv

#qclient.configure({ 'server': 'http://localhost:8080' })
token = 'YOUR_TOKEN' if len(argv) < 2 else argv[1]
qclient.configure({'token': token, 'server': 'http://localhost:8080'})

# [optional] display file to be executed
print(qclient.get('bell'))  # default extension
# print(qclient.get('bell.qasm')) # explicit extension

# execute and return
print('Executing...')
print(qclient.execute('bell'))
```
rabpro 0.2.2
Package to delineate subbasins and compute statistics.
Requires Python: >=3.6

# rabpro

[![Code style: black](https://img.shields.io/badge/code%20style-black-000000.svg)](https://github.com/psf/black) [![Anaconda badge](https://anaconda.org/jschwenk/rabpro/badges/version.svg)](https://anaconda.org/jschwenk/rabpro)

longitudinal river profiles, global watershed delineation, watershed stats

## Setup

### Software

```shell
conda env create -f environment.yml
source activate rabpro

# set use-feature to silence deprecation warning
# pip install --use-feature=in-tree-build . 
```

### Data

Locate the MERIT DEM "tile" of interest and run [Data/scripts/get_merit_dem.py](Data/scripts/get_merit_dem.py) with username and password arguments.

```shell
python Data/scripts/get_merit_dem.py n30w090 <username> <password>
```

Download Hydrobasins levels 1 and 12 using [Data/scripts/get_hydrobasins.py](Data/scripts/get_hydrobasins.py)

## Usage

### command line

```shell
python rabpro/run_rabpro.py
```

#### python

```python
import geopandas as gpd
import rabpro
from rabpro import utils
from rabpro.subbasin_stats import Dataset

# verify pathing setup "works"
# utils.get_rabpropath()
# utils.get_datapaths()

coords_file = gpd.read_file(r"tests/test_data/Big Blue River.geojson")
rpo = rabpro.profiler(coords_file)
rpo.delineate_basins() # requires hydrobasins levels 1 and 12
# name = "test"
# rpo.basins.to_file('Data/gaugebasin_shp/'+name+'.shp',driver='ESRI Shapefile')
rpo.elev_profile() # requires merit-dem (this ex. requires n30w090 [elv, fdr, upa, wth])
rpo.basin_stats([Dataset("JRC/GSW1_3/GlobalSurfaceWater", "occurrence")]) # requires Google Earth Engine access
```
portainer-ce-api 2.6.1
PortainerCE API
Keywords: Swagger,PortainerCE API

    Portainer API is an HTTP API served by Portainer. It is used by the Portainer UI and everything you can do with the UI can be done using the HTTP API. Examples are available at https://documentation.portainer.io/api/api-examples/ You can find out more about Portainer at [http://portainer.io](http://portainer.io) and get some support on [Slack](http://portainer.io/slack/).  # Authentication  Most of the API endpoints require to be authenticated as well as some level of authorization to be used. Portainer API uses JSON Web Token to manage authentication and thus requires you to provide a token in the **Authorization** header of each request with the **Bearer** authentication mechanism.  Example:  &#x60;&#x60;&#x60; Bearer eyJhbGciOiJIUzI1NiIsInR5cCI6IkpXVCJ9.eyJpZCI6MSwidXNlcm5hbWUiOiJhZG1pbiIsInJvbGUiOjEsImV4cCI6MTQ5OTM3NjE1NH0.NJ6vE8FY1WG6jsRQzfMqeatJ4vh2TWAeeYfDhP71YEE &#x60;&#x60;&#x60;  # Security  Each API endpoint has an associated access policy, it is documented in the description of each endpoint.  Different access policies are available:  - Public access - Authenticated access - Restricted access - Administrator access  ### Public access  No authentication is required to access the endpoints with this access policy.  ### Authenticated access  Authentication is required to access the endpoints with this access policy.  ### Restricted access  Authentication is required to access the endpoints with this access policy. Extra-checks might be added to ensure access to the resource is granted. Returned data might also be filtered.  ### Administrator access  Authentication as well as an administrator role are required to access the endpoints with this access policy.  # Execute Docker requests  Portainer **DOES NOT** expose specific endpoints to manage your Docker resources (create a container, remove a volume, etc...).  Instead, it acts as a reverse-proxy to the Docker HTTP API. This means that you can execute Docker requests **via** the Portainer HTTP API.  To do so, you can use the &#x60;/endpoints/{id}/docker&#x60; Portainer API endpoint (which is not documented below due to Swagger limitations). This endpoint has a restricted access policy so you still need to be authenticated to be able to query this endpoint. Any query on this endpoint will be proxied to the Docker API of the associated endpoint (requests and responses objects are the same as documented in the Docker API).  **NOTE**: You can find more information on how to query the Docker API in the [Docker official documentation](https://docs.docker.com/engine/api/v1.30/) as well as in [this Portainer example](https://documentation.portainer.io/api/api-examples/).   # noqa: E501
magic-patch 0.0.2
The magic_patch is a simple library that provides the ability to patch an object in different scopes at once. Now you can patch objects easily like magic.
Requires Python: >=3.5

The magic_patch is a simple library that provides the ability to patch an object in different scopes at once.
Now you can patch objects easily like magic.


* Example 1 *
A project contains a few modules that imports datetime library
  
```python
# module 1
from datetime import datetime

...
```

```python
# module 2
from datetime import datetime

...
```

Using magic_patch you don't need to patch each module manually 

```python
# test
from unittest.mock import Mock
from magic_patch import magic_patch

from datetime import datetime  # import target object
from ... import start_module  # necessary to run imports 

datetime_mock = Mock()

with magic_patch(start_module, datetime, datetime_mock):
    # all done! - all modules patched!!!
    ...
```



* Example 2 *
  A project contains a few modules that import the datetime class from datatime library
  There are different names for the target object.
  The magic_patch provides the ability to examine all available variables in each module

```python
# module 1
from datetime import datetime

...
```

```python
# module 2
from datetime import datetime as new_name_datetime

...
```

Just set up the option search_by_all_names=True and magic_patch finds your target with other names

```python
# test
from unittest.mock import Mock
from magic_patch import magic_patch

from datetime import datetime  # import target object
from ... import start_module  # necessary to run imports 

datetime_mock = Mock()
with magic_patch(start_module, datetime, datetime_mock, search_by_all_names=True):
    # all done! - all modules patched!!!
    ...
```

Happy magic patching!