65 Commits

Author SHA1 Message Date
Mose Müller
aa85f6453f update version to v0.2.0 2023-10-11 14:20:35 +02:00
Mose Müller
343354e0ee Update README.md 2023-10-11 14:17:40 +02:00
Mose Müller
b38bb05c69 Merge pull request #28 from tiqi-group/5-adding-status-component
5 adding coloured enum component
2023-10-11 14:15:34 +02:00
Mose Müller
a0dab630f9 Update README.md 2023-10-11 14:03:07 +02:00
Mose Müller
a9db7848f7 fix: pytest failed after moving from StrEnum to Enum 2023-10-11 14:03:07 +02:00
Mose Müller
a8b14180ad fix: using Enum instead of StrEnum (>=3.11 only) 2023-10-11 14:03:07 +02:00
Mose Müller
26a366842a frontend: npm run build 2023-10-11 14:03:07 +02:00
Mose Müller
b0e7de2d2c docs: updating Readme 2023-10-11 14:03:07 +02:00
Mose Müller
bbcba8b39f test: adding test for ColouredEnum component 2023-10-11 14:03:07 +02:00
Mose Müller
34e46e05ee feat: adding ColouredEnum component 2023-10-11 14:03:07 +02:00
Mose Müller
93c2f5ab70 docs: updating mkdocs documentation
- adding user guide section
- removing "baselevel: 4"
2023-10-11 13:58:55 +02:00
Mose Müller
106ffbfc40 removing .python-version 2023-10-11 13:52:13 +02:00
Mose Müller
5702adbdbd update version 2023-10-10 14:54:17 +02:00
Mose Müller
e3a7932ac4 Merge pull request #26 from tiqi-group/24-issue-pydase-checks-if-protected-variables-inherit-from-dataservice
fix: only check inheritance of public attributes
2023-10-10 12:54:45 +02:00
Mose Müller
21cd039610 fix: only check inheritance of public attributes 2023-10-10 12:51:50 +02:00
Mose Müller
0b5dd5393a remove publish-to-testpypi workflow 2023-10-10 12:35:52 +02:00
Mose Müller
0f7a8ec63b Merge pull request #25 from tiqi-group/20-property-that-returns-an-enum-is-not-correctly-rendered
Fixes serialization for enum properties
2023-10-10 12:32:53 +02:00
Mose Müller
6fe30fc6ec update version 2023-10-10 12:31:43 +02:00
Mose Müller
5f64ec131c feat: adding enum_serialize test 2023-10-10 12:29:45 +02:00
Mose Müller
06bf5fb539 fix: serializing enum properties 2023-10-10 12:18:13 +02:00
Mose Müller
bdbb79e131 feat: removing "install_signal_handlers" method from protocol (would have been overwritten anyway) 2023-10-03 16:15:08 +02:00
Mose Müller
78b94d4fc8 feat: updating method docstring 2023-10-03 16:12:07 +02:00
Mose Müller
6d12371e7b docs: update installation instruction 2023-09-26 15:12:53 +02:00
Mose Müller
fb6146e01d docs: Updating links and formatting in Readme 2023-09-26 15:03:11 +02:00
Mose Müller
1c24ad879c adding docs badge to readme 2023-09-19 18:17:19 +02:00
Mose Müller
6f6cf8dd0d feat: adds readthedocs config file 2023-09-19 18:17:19 +02:00
Mose Müller
e602319f22 docs: updating Readme 2023-09-19 18:17:19 +02:00
Mose Müller
5e16eb9321 docs: adds section explaining how to set the log level 2023-09-19 18:17:19 +02:00
Mose Müller
8ad7ea511c Update Adding_Components.md 2023-09-19 18:17:19 +02:00
Mose Müller
9fa4333196 update Readme structure 2023-09-19 18:17:19 +02:00
Mose Müller
84d4c9c712 Update component section in readme 2023-09-19 18:17:19 +02:00
Mose Müller
b89644864c adds components section to readme 2023-09-19 18:17:19 +02:00
Mose Müller
70bfad6b0a docs: update Adding Components section 2023-09-19 18:17:19 +02:00
Mose Müller
86024be77e docs: adding "Adding Components" section to dev guide 2023-09-19 18:17:19 +02:00
Mose Müller
efac1e790f Updating mkdocs config 2023-09-19 18:17:19 +02:00
Mose Müller
da28b6c82c Adding mkdocs config and docs folder 2023-09-19 18:17:19 +02:00
Mose Müller
0e8970f0c5 Adding docs packages 2023-09-19 18:17:19 +02:00
Mose Müller
55ab705542 feat: adding publish workflow 2023-09-19 14:30:36 +02:00
Mose Müller
c970ae89d0 docs: updating image 2023-09-14 10:31:15 +02:00
Mose Müller
23ef229eb1 frontend: removes unused import 2023-09-14 10:29:23 +02:00
Mose Müller
cb94068faf Merge pull request #19 from tiqi-group/14-spin-box-buttons-not-working
Removes buttons from number components.
2023-09-14 10:26:56 +02:00
Mose Müller
2ce8ace227 docs: updating readme 2023-09-14 10:24:55 +02:00
Mose Müller
ee124ead89 removes buttons from number components 2023-09-14 10:17:25 +02:00
Mose Müller
bbee77e231 feat: adds simple functionality to buttons in number component 2023-09-14 10:12:51 +02:00
Mose Müller
27520864c4 frontend: 'instant update' defaults to false 2023-09-14 08:35:10 +02:00
Mose Müller
e743d89f2e Merge pull request #18 from tiqi-group/15-highlighted-digits-not-overwritten-when-typing-in-spin-boxes
feat: highlighted digits are overwritten in number components
2023-09-14 08:30:50 +02:00
Mose Müller
050a718e44 feat: highlighted digits are overwritten in number components 2023-09-14 08:28:38 +02:00
Mose Müller
d2b9dd832f Merge pull request #17 from tiqi-group/13-superfluous-parameter-access-when-using-service-persistence
13 superfluous parameter access when using service persistence
2023-09-13 18:06:29 +02:00
Mose Müller
d5cb1a1478 fix: ignoring flake8 error 2023-09-13 18:02:50 +02:00
Mose Müller
82f8e1f90c test: adding additional helpers test 2023-09-13 18:01:40 +02:00
Mose Müller
c12bb87b2b feat: removing superfluous property accesses 2023-09-13 17:56:23 +02:00
Mose Müller
6eafe07ac7 Merge pull request #12 from tiqi-group/1-exception-handling-in-tasks
adds task_done_callback to each task
2023-08-18 16:26:34 +02:00
Mose Müller
76fb674fcd adds task_done_callback to each task
The task_done_callback function handles exceptions and emitting
a notification when the task has finished.
2023-08-18 16:25:13 +02:00
Mose Müller
e86fd1ffbe fix: intercepting rpyc-handled errors 2023-08-18 16:20:12 +02:00
Mose Müller
0626500cdd Removing pydase/utils/logging.py from pytest coverage report
Changing the environment variable "ENVIRONMENT" does not change the
confz configuration. Additionally, the setup_logging file is removing
any loggers (line 61). With this, caplog with loguru doesn't work as we
are already using some sort of hack to get the loguru logs with pytest.
We can therefore not test if the setup_logging function works as
expected.
2023-08-17 17:42:47 +02:00
Mose Müller
fab526a679 Updates python environment 2023-08-17 17:11:41 +02:00
Mose Müller
ea621c7c4b updates github workflow (pyright test) 2023-08-17 17:09:20 +02:00
Mose Müller
60984b6e13 fix: pyright error in helpers.py 2023-08-17 17:08:05 +02:00
Mose Müller
08e0c59ad7 defines environment variables in vscode launch settings 2023-08-17 17:07:47 +02:00
Mose Müller
f132d71f60 feat: adds logging setup
- logging can now be configured using the setup_logging function and
  using the ENVIRONMENT env variable.
- using InterceptHandler to intercept standard logging towards the
  loguru sink
- forcing uvicorn to use the same handler
2023-08-17 17:05:44 +02:00
Mose Müller
fb6fac5f9a allways mount frontend files at port 8001
- files were previously only mounted when in production mode
2023-08-17 16:41:40 +02:00
Mose Müller
a2ce2e1116 update version.py to use metadata 2023-08-17 15:47:42 +02:00
Mose Müller
29ebc566bb tests: adds some utils.helpers tests 2023-08-17 11:16:34 +02:00
Mose Müller
b275446960 adapts slider frontend component (highlights pressed settigns button) 2023-08-17 11:15:39 +02:00
Mose Müller
24f35245bb Update issue templates 2023-08-17 10:14:45 +02:00
55 changed files with 1872 additions and 265 deletions

View File

@@ -1,4 +1,6 @@
[report]
exclude_lines =
pragma: no cover
if TYPE_CHECKING:
if TYPE_CHECKING:
omit =
src/pydase/utils/logging.py

View File

@@ -0,0 +1,20 @@
---
name: Feature request
about: Suggest an idea for this project
title: ''
labels: ''
assignees: ''
---
**Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is. Ex. I'm always frustrated when [...]
**Describe the solution you'd like**
A clear and concise description of what you want to happen.
**Describe alternatives you've considered**
A clear and concise description of any alternative solutions or features you've considered.
**Additional context**
Add any other context or screenshots about the feature request here.

111
.github/workflows/publish-to-pypi.yaml vendored Normal file
View File

@@ -0,0 +1,111 @@
name: Publish Python 🐍 distribution 📦 to PyPI and TestPyPI
on: push
jobs:
build:
name: Build distribution 📦
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v4
- name: Set up Python
uses: actions/setup-python@v4
with:
python-version: "3.11"
- name: Install pypa/build
run: >-
python3 -m
pip install
build
--user
- name: Build a binary wheel and a source tarball
run: python3 -m build
- name: Store the distribution packages
uses: actions/upload-artifact@v3
with:
name: python-package-distributions
path: dist/
publish-to-pypi:
name: >-
Publish Python 🐍 distribution 📦 to PyPI
if: startsWith(github.ref, 'refs/tags/') # only publish to PyPI on tag pushes
needs:
- build
runs-on: ubuntu-latest
environment:
name: pypi
url: https://pypi.org/p/pydase
permissions:
id-token: write # IMPORTANT: mandatory for trusted publishing
steps:
- name: Download all the dists
uses: actions/download-artifact@v3
with:
name: python-package-distributions
path: dist/
- name: Publish distribution 📦 to PyPI
uses: pypa/gh-action-pypi-publish@release/v1
github-release:
name: >-
Sign the Python 🐍 distribution 📦 with Sigstore
and upload them to GitHub Release
needs:
- publish-to-pypi
runs-on: ubuntu-latest
permissions:
contents: write # IMPORTANT: mandatory for making GitHub Releases
id-token: write # IMPORTANT: mandatory for sigstore
steps:
- name: Download all the dists
uses: actions/download-artifact@v3
with:
name: python-package-distributions
path: dist/
- name: Sign the dists with Sigstore
uses: sigstore/gh-action-sigstore-python@v1.2.3
with:
inputs: >-
./dist/*.tar.gz
./dist/*.whl
- name: Upload artifact signatures to GitHub Release
env:
GITHUB_TOKEN: ${{ github.token }}
# Upload to GitHub Release using the `gh` CLI.
# `dist/` contains the built packages, and the
# sigstore-produced signatures and certificates.
run: >-
gh release upload
'${{ github.ref_name }}' dist/**
--repo '${{ github.repository }}'
# publish-to-testpypi:
# name: Publish Python 🐍 distribution 📦 to TestPyPI
# needs:
# - build
# runs-on: ubuntu-latest
#
# environment:
# name: testpypi
# url: https://test.pypi.org/p/pydase
#
# permissions:
# id-token: write # IMPORTANT: mandatory for trusted publishing
#
# steps:
# - name: Download all the dists
# uses: actions/download-artifact@v3
# with:
# name: python-package-distributions
# path: dist/
# - name: Publish distribution 📦 to TestPyPI
# uses: pypa/gh-action-pypi-publish@release/v1
# with:
# repository-url: https://test.pypi.org/legacy/

View File

@@ -36,3 +36,6 @@ jobs:
- name: Test with pytest
run: |
poetry run pytest
- name: Test with pyright
run: |
poetry run pyright src/pydase

21
.readthedocs.yaml Normal file
View File

@@ -0,0 +1,21 @@
# Read the Docs configuration file for MkDocs projects
# See https://docs.readthedocs.io/en/stable/config-file/v2.html for details
# Required
version: 2
# Set the version of Python and other tools you might need
build:
os: ubuntu-22.04
tools:
python: "3.11"
mkdocs:
configuration: mkdocs.yml
# Optionally declare the Python requirements required to build your docs
python:
install:
- method: pip
path: .
- requirements: docs/requirements.txt

10
.vscode/launch.json vendored
View File

@@ -9,14 +9,20 @@
"type": "python",
"request": "launch",
"module": "foo",
"justMyCode": true
"justMyCode": true,
"env": {
"ENVIRONMENT": "development"
}
},
{
"name": "bar",
"type": "python",
"request": "launch",
"module": "bar",
"justMyCode": true
"justMyCode": true,
"env": {
"ENVIRONMENT": "development"
}
},
{
"type": "firefox",

261
README.md
View File

@@ -1,5 +1,8 @@
# pydase (Python Data Service) <!-- omit from toc -->
[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
[![Documentation Status](https://readthedocs.org/projects/pydase/badge/?version=latest)](https://pydase.readthedocs.io/en/latest/?badge=latest)
`pydase` is a Python library for creating data service servers with integrated web and RPC servers. It's designed to handle the management of data structures, automated tasks, and callbacks, and provides built-in functionality for serving data over different protocols.
- [Features](#features)
@@ -9,9 +12,16 @@
- [Running the Server](#running-the-server)
- [Accessing the Web Interface](#accessing-the-web-interface)
- [Connecting to the Service using rpyc](#connecting-to-the-service-using-rpyc)
- [Understanding the Component System](#understanding-the-component-system)
- [Built-in Type and Enum Components](#built-in-type-and-enum-components)
- [Method Components](#method-components)
- [DataService Instances (Nested Classes)](#dataservice-instances-nested-classes)
- [Custom Components (`pydase.components`)](#custom-components-pydasecomponents)
- [Extending with New Components](#extending-with-new-components)
- [Understanding Service Persistence](#understanding-service-persistence)
- [Understanding Tasks in pydase](#understanding-tasks-in-pydase)
- [Understanding Units in pydase](#understanding-units-in-pydase)
- [Changing the Log Level](#changing-the-log-level)
- [Documentation](#documentation)
- [Contributing](#contributing)
- [License](#license)
@@ -19,30 +29,33 @@
## Features
<!-- no toc -->
* [Simple data service definition through class-based interface](#defining-a-dataService)
* [Integrated web interface for interactive access and control of your data service](#accessing-the-web-interface)
* [Support for `rpyc` connections, allowing for programmatic control and interaction with your service](#connecting-to-the-service-using-rpyc)
* [Component system bridging Python backend with frontend visual representation](#understanding-the-component-system)
* [Saving and restoring the service state for service persistence](#understanding-service-persistence)
* [Automated task management with built-in start/stop controls and optional autostart](#understanding-tasks-in-pydase)
* [Support for units](#understanding-units-in-pydase)
* Event-based callback functionality for real-time updates
* Support for additional servers for specific use-cases
<!-- * Event-based callback functionality for real-time updates
* Support for additional servers for specific use-cases -->
## Installation
<!--installation-start-->
Install pydase using [`poetry`](https://python-poetry.org/):
```bash
poetry add git+https://github.com/tiqi-group/pydase.git
poetry add pydase
```
or `pip`:
```bash
pip install git+https://github.com/tiqi-group/pydase.git
pip install pydase
```
<!--installation-end-->
## Usage
<!--usage-start-->
Using `pydase` involves three main steps: defining a `DataService` subclass, running the server, and then connecting to the service either programmatically using `rpyc` or through the web interface.
### Defining a DataService
@@ -52,48 +65,54 @@ To use pydase, you'll first need to create a class that inherits from `DataServi
Here's an example:
```python
from pydase import DataService
from pydase import DataService, Server
class Device(DataService):
_current = 0.0
_voltage = 0.0
_power = False
@property
def current(self):
def current(self) -> float:
# run code to get current
return self._current
@current.setter
def current(self, value):
def current(self, value: float) -> None:
# run code to set current
self._current = value
@property
def voltage(self):
def voltage(self) -> float:
# run code to get voltage
return self._voltage
@voltage.setter
def voltage(self, value):
def voltage(self, value: float) -> None:
# run code to set voltage
self._voltage = value
@property
def power(self):
def power(self) -> bool:
# run code to get power state
return self._power
@power.setter
def power(self, value):
def power(self, value: bool) -> None:
# run code to set power state
self._power = value
def reset(self):
def reset(self) -> None:
self.current = 0.0
self.voltage = 0.0
if __name__ == "__main__":
service = Device()
Server(service).run()
```
In the above example, we define a Device class that extends DataService. We define a few properties (current, voltage, power) and their getter and setter methods.
### Running the Server
@@ -110,7 +129,7 @@ if __name__ == "__main__":
Server(service).run()
```
This will start the server, making your Device service accessible via RPC and a web server at http://localhost:8001.
This will start the server, making your Device service accessible via RPC and a web server at [http://localhost:8001](http://localhost:8001).
### Accessing the Web Interface
@@ -137,6 +156,188 @@ print(client.voltage) # prints 5.0
```
In this example, replace `<ip_addr>` with the IP address of the machine where the service is running. After establishing a connection, you can interact with the service attributes as if they were local attributes.
<!--usage-end-->
## Understanding the Component System
<!-- Component User Guide Start -->
In `pydase`, components are fundamental building blocks that bridge the Python backend logic with frontend visual representation and interactions. This system can be understood based on the following categories:
### Built-in Type and Enum Components
`pydase` automatically maps standard Python data types to their corresponding frontend components:
- `str`: Translated into a `StringComponent` on the frontend.
- `int` and `float`: Manifested as the `NumberComponent`.
- `bool`: Rendered as a `ButtonComponent`.
- `list`: Each item displayed individually, named after the list attribute and its index.
- `enum.Enum`: Presented as an `EnumComponent`, facilitating dropdown selection.
### Method Components
Methods within the `DataService` class have frontend representations:
- Regular Methods: These are rendered as a `MethodComponent` in the frontend, allowing users to execute the method via an "execute" button.
- Asynchronous Methods: These are manifested as the `AsyncMethodComponent` with "start"/"stop" buttons to manage the execution of [tasks](#understanding-tasks-in-pydase).
### DataService Instances (Nested Classes)
Nested `DataService` instances offer an organized hierarchy for components, enabling richer applications. Each nested class might have its own attributes and methods, each mapped to a frontend component.
Here is an example:
```python
from pydase import DataService, Server
class Channel(DataService):
def __init__(self, channel_id: int) -> None:
self._channel_id = channel_id
self._current = 0.0
super().__init__()
@property
def current(self) -> float:
# run code to get current
result = self._current
return result
@current.setter
def current(self, value: float) -> None:
# run code to set current
self._current = value
class Device(DataService):
def __init__(self) -> None:
self.channels = [Channel(i) for i in range(2)]
super().__init__()
if __name__ == "__main__":
service = Device()
Server(service).run()
```
![Nested Classes App](docs/images/Nested_Class_App.png)
**Note** that defining classes within `DataService` classes is not supported (see [this issue](https://github.com/tiqi-group/pydase/issues/16)).
### Custom Components (`pydase.components`)
The custom components in `pydase` have two main parts:
- A **Python Component Class** in the backend, implementing the logic needed to set, update, and manage the component's state and data.
- A **Frontend React Component** that renders and manages user interaction in the browser.
Below are the components available in the `pydase.components` module, accompanied by their Python usage:
#### `Image`
This component provides a versatile interface for displaying images within the application. Users can update and manage images from various sources, including local paths, URLs, and even matplotlib figures.
The component offers methods to load images seamlessly, ensuring that visual content is easily integrated and displayed within the data service.
```python
import matplotlib.pyplot as plt
import numpy as np
import pydase
from pydase.components.image import Image
class MyDataService(pydase.DataService):
my_image = Image()
if __name__ == "__main__":
service = MyDataService()
# loading from local path
service.my_image.load_from_path("/your/image/path/")
# loading from a URL
service.my_image.load_from_url("https://cataas.com/cat")
# loading a matplotlib figure
fig = plt.figure()
x = np.linspace(0, 2 * np.pi)
plt.plot(x, np.sin(x))
plt.grid()
service.my_image.load_from_matplotlib_figure(fig)
pydase.Server(service).run()
```
![Image Component](docs/images/Image_component.png)
#### `NumberSlider`
This component provides an interactive slider interface for adjusting numerical values on the frontend. It supports both floats and integers. The values adjusted on the frontend are synchronized with the backend in real-time, ensuring consistent data representation.
The slider can be customized with initial values, minimum and maximum limits, and step sizes to fit various use cases.
```python
import pydase
from pydase.components import NumberSlider
class MyService(pydase.DataService):
slider = NumberSlider(value=3.5, min=0, max=10, step_size=0.1, type="float")
if __name__ == "__main__":
service = MyService()
pydase.Server(service).run()
```
![Slider Component](docs/images/Slider_component.png)
#### `ColouredEnum`
This component provides a way to visually represent different states or categories in a data service using colour-coded options. It behaves similarly to a standard `Enum`, but the values encode colours in a format understood by CSS. The colours can be defined using various methods like Hexadecimal, RGB, HSL, and more.
If the property associated with the `ColouredEnum` has a setter function, the keys of the enum will be rendered as a dropdown menu, allowing users to interact and select different options. Without a setter function, the selected key will simply be displayed as a coloured box with text inside, serving as a visual indicator.
```python
import pydase
import pydase.components as pyc
class MyStatus(pyc.ColouredEnum):
PENDING = "#FFA500" # Hexadecimal colour (Orange)
RUNNING = "#0000FF80" # Hexadecimal colour with transparency (Blue)
PAUSED = "rgb(169, 169, 169)" # RGB colour (Dark Gray)
RETRYING = "rgba(255, 255, 0, 0.3)" # RGB colour with transparency (Yellow)
COMPLETED = "hsl(120, 100%, 50%)" # HSL colour (Green)
FAILED = "hsla(0, 100%, 50%, 0.7)" # HSL colour with transparency (Red)
CANCELLED = "SlateGray" # Cross-browser colour name (Slate Gray)
class StatusTest(pydase.DataService):
_status = MyStatus.RUNNING
@property
def status(self) -> MyStatus:
return self._status
@status.setter
def status(self, value: MyStatus) -> None:
# do something ...
self._status = value
# Modifying or accessing the status value:
my_service = StatusExample()
my_service.status = MyStatus.FAILED
```
![ColouredEnum Component](docs/images/ColouredEnum_component.png)
#### Extending with New Components
Users can also extend the library by creating custom components. This involves defining the behavior on the Python backend and the visual representation on the frontend. For those looking to introduce new components, the [guide on adding components](https://pydase.readthedocs.io/en/latest/dev-guide/Adding_Components/) provides detailed steps on achieving this.
<!-- Component User Guide End -->
## Understanding Service Persistence
@@ -273,14 +474,36 @@ if __name__ == "__main__":
For more information about what you can do with the units, please consult the documentation of [`pint`](https://pint.readthedocs.io/en/stable/).
## Changing the Log Level
You can change the log level of loguru by either
1. (RECOMMENDED) setting the `ENVIRONMENT` environment variable to "production" or "development"
```bash
ENVIRONMENT="production" python -m <module_using_pydase>
```
The production environment will only log messages above "INFO", the development environment (default) logs everything above "DEBUG".
2. calling the `pydase.utils.logging.setup_logging` function with the desired log level
```python
# <your_script.py>
from pydase.utils.logging import setup_logging
setup_logging("INFO")
```
## Documentation
The full documentation provides more detailed information about `pydase`, including advanced usage examples, API references, and tips for troubleshooting common issues. See the [full documentation](URL_TO_YOUR_DOCUMENTATION) for more information.
The full documentation provides more detailed information about `pydase`, including advanced usage examples, API references, and tips for troubleshooting common issues. See the [full documentation](https://pydase.readthedocs.io/en/latest/) for more information.
## Contributing
We welcome contributions! Please see [CONTRIBUTING.md](URL_TO_YOUR_CONTRIBUTING_GUIDELINES) for details on how to contribute.
We welcome contributions! Please see [contributing.md](https://pydase.readthedocs.io/en/latest/about/contributing/) for details on how to contribute.
## License
`pydase` is licensed under the [MIT License](./LICENSE).
`pydase` is licensed under the [MIT License](https://github.com/tiqi-group/pydase/blob/main/LICENSE).

View File

10
docs/about/license.md Normal file
View File

@@ -0,0 +1,10 @@
License
=======
`pydase` is released under the *MIT license*:
```{.license}
{%
include "../../LICENSE"
comments=false
%}
```

View File

3
docs/css/extra.css Normal file
View File

@@ -0,0 +1,3 @@
.language-license{
background-color: #eeffcc !important;
}

View File

@@ -0,0 +1,299 @@
# Adding Components to `pydase`
This guide provides a step-by-step process for adding new components to the `pydase` package. Components in `pydase` consist of both backend (Python) and frontend (React) parts. They work together to create interactive and dynamic data services.
## Overview
A component in `pydase` is a unique combination of a backend class (e.g., `Image`) and its corresponding frontend React component. The backend class stores the attributes needed for the component, and possibly methods for setting those in the backend, while the frontend part is responsible for rendering and interacting with the component.
## Adding a Backend Component to `pydase`
Backend components belong in the `src/pydase/components` directory.
### Step 1: Create a New Python File in the Components Directory
Navigate to the `src/pydase/components` directory and create a new Python file for your component. The name of the file should be descriptive of the component's functionality.
For example, for a `Image` component, create a file named `image.py`.
### Step 2: Define the Backend Class
Within the newly created file, define a Python class representing the component. This class should inherit from `DataService` and contains the attributes that the frontend needs to render the component. Every public attribute defined in this class will synchronise across the clients. It can also contain methods which can be used to interact with the component from the backend.
For the `Image` component, the class may look like this:
```python
# file: pydase/components/image.py
from pydase.data_service.data_service import DataService
class Image(DataService):
def __init__(
self,
image_representation: bytes = b"",
) -> None:
self.image_representation = image_representation
super().__init__()
# need to decode the bytes
def __setattr__(self, __name: str, __value: Any) -> None:
if __name == "value":
if isinstance(__value, bytes):
__value = __value.decode()
return super().__setattr__(__name, __value)
```
So, changing the `image_representation` will push the updated value to the browsers connected to the service.
### Step 3: Register the Backend Class
The component should be added to the `__init__.py` file to ensure `pydase` handles them properly:
```python
# file: pydase/components/__init__.py
from pydase.components.image import Image
from pydase.components.number_slider import NumberSlider
__all__ = [
"NumberSlider",
"Image", # add the new components here
]
```
### Step 4: Implement Necessary Methods (Optional)
If your component requires specific logic or methods, implement them within the class. Document any public methods or attributes to ensure that other developers understand their purpose and usage.
### Step 5: Write Tests for the Component (Recommended)
Consider writing unit tests for the component to verify its behavior. Place the tests in the appropriate directory within the `tests` folder.
For example, a test for the `Image` component could look like this:
```python
from pytest import CaptureFixture
from pydase.components.image import Image
from pydase.data_service.data_service import DataService
def test_Image(capsys: CaptureFixture) -> None:
class ServiceClass(DataService):
image = Image()
service = ServiceClass()
# ...
```
## Adding a Frontend Component to `pydase`
Frontend components in `pydase` live in the `frontend/src/components/` directory. Follow these steps to create and add a new frontend component:
### Step 1: Create a New React Component File in the Components Directory
Navigate to the `frontend/src/components/` directory and create a new React component file for your component. The name of the file should be descriptive of the component's functionality and reflect the naming conventions used in your project.
For example, for an `Image` component, create a file named `ImageComponent.tsx`.
### Step 2: Write the React Component Code
Write the React component code, following the structure and patterns used in existing components. Make sure to import necessary libraries and dependencies.
For example, for the `Image` component, a template could look like this:
```tsx
import { emit_update } from '../socket'; // use this when your component should update values in the backend
import { DocStringComponent } from './DocStringComponent';
import React, { useEffect, useRef, useState } from 'react';
import { Card, Collapse, Image } from 'react-bootstrap';
import { DocStringComponent } from './DocStringComponent';
import { ChevronDown, ChevronRight } from 'react-bootstrap-icons';
interface ImageComponentProps {
name: string;
parentPath: string;
readOnly: boolean;
docString: string;
addNotification: (string) => void;
// Define your component specific props here
value: string;
format: string;
}
export const ImageComponent = React.memo((props: ImageComponentProps) => {
const { name, parentPath, value, docString, format, addNotification } = props;
const renderCount = useRef(0);
const [open, setOpen] = useState(true); // add this if you want to expand/collapse your component
useEffect(() => {
renderCount.current++;
});
// This will trigger a notification if notifications are enabled.
useEffect(() => {
addNotification(`${parentPath}.${name} changed to ${value}.`);
}, [props.value]);
// Your component logic here
return (
<div className={'imageComponent'} id={parentPath.concat('.' + name)}>
{/* Add the Card and Collapse components here if you want to be able to expand and
collapse your component. */}
<Card>
<Card.Header
onClick={() => setOpen(!open)}
style={{ cursor: 'pointer' }} // Change cursor style on hover
>
{name} {open ? <ChevronDown /> : <ChevronRight />}
</Card.Header>
<Collapse in={open}>
<Card.Body>
{process.env.NODE_ENV === 'development' && (
<p>Render count: {renderCount.current}</p>
)}
<DocStringComponent docString={docString} />
{/* Your component TSX here */}
</Card.Body>
</Collapse>
</Card>
</div>
);
});
```
### Step 3: Emitting Updates to the Backend
Often, React components in the frontend will need to send updates to the backend, especially when user interactions result in a change of state or data. In `pydase`, we use `socketio` to seamlessly communicate these changes. Here's a detailed guide on how to emit update events from your frontend component:
1. **Setting Up Emission**: Ensure you've imported the required functions and methods for emission. The main function we'll use for this is `emit_update` from the `socket` module:
```tsx
import { emit_update } from '../socket';
```
2. **Understanding the Emission Parameters**:
When emitting an update, we send three main pieces of data:
- `parentPath`: This is the access path for the parent object of the attribute to be updated. This forms the basis to create the full access path for the attribute. For instance, for the attribute access path `attr1.list_attr[0].attr2`, `attr1.list_attr[0]` would be the `parentPath`.
- `name`: This represents the name of the attribute to be updated within the `DataService` instance. If the attribute is part of a nested structure, this would be the name of the attribute in the last nested object. So, for `attr1.list_attr[0].attr2`, `attr2` would be the name.
- `value`: This is the new value intended for the attribute. Ensure that the type of this value matches the type of the attribute in the backend.
3. **Implementing the Emission**:
To illustrate the emission process, let's consider the `ButtonComponent`. When the button state changes, we want to send this update to the backend:
```tsx
// ... (other imports)
export const ButtonComponent = React.memo((props: ButtonComponentProps) => {
// ...
const { name, parentPath, value } = props;
const setChecked = (checked: boolean) => {
emit_update(name, parentPath, checked);
};
return (
<ToggleButton
checked={value}
value={parentPath}
// ... other props
onChange={(e) => setChecked(e.currentTarget.checked)}>
<p>{name}</p>
</ToggleButton>
);
});
```
In this example, whenever the button's checked state changes (`onChange` event), we invoke the `setChecked` method, which in turn emits the new state to the backend using `emit_update`.
### Step 4: Add the New Component to the GenericComponent
The `GenericComponent` is responsible for rendering different types of components based on the attribute type. You can add the new `ImageComponent` to the `GenericComponent` by following these sub-steps:
#### 1. Import the New Component
At the beginning of the `GenericComponent` file, import the newly created `ImageComponent`:
```tsx
// file: frontend/src/components/GenericComponent.tsx
import { ImageComponent } from './ImageComponent';
```
#### 2. Update the AttributeType
Update the `AttributeType` type definition to include the new type for the `ImageComponent`.
For example, if the new attribute type is `'Image'` (which should correspond to the name of the backend component class), you can add it to the union:
```tsx
type AttributeType =
| 'str'
| 'bool'
| 'float'
| 'int'
| 'Quantity'
| 'list'
| 'method'
| 'DataService'
| 'Enum'
| 'NumberSlider'
| 'Image'; // Add the name of the backend component class here
```
#### 3. Add a Conditional Branch for the New Component
Inside the `GenericComponent` function, add a new conditional branch to render the `ImageComponent` when the attribute type is `'Image'`:
```tsx
} else if (attribute.type === 'Image') {
return (
<ImageComponent
name={name}
parentPath={parentPath}
readOnly={attribute.readonly}
docString={attribute.doc}
addNotification={addNotification}
// Add any other specific props for the ImageComponent here
value={attribute.value['value']['value'] as string}
format={attribute.value['format']['value'] as string}
/>
);
} else {
// other code
```
Make sure to update the props passed to the `ImageComponent` based on its specific requirements.
### Step 5: Adding Custom Notification Message (Optional)
In some cases, you may want to provide a custom notification message to the user when an attribute of a specific type is updated. This can be useful for enhancing user experience and providing contextual information about the changes.
For example, updating an `Image` component corresponds to setting a very long string. We don't want to display the whole string in the notification but just notify the user that the image was updated (and maybe also the format).
To create a custom notification message, you can update the message passed to the `addNotification` method in the `useEffect` hook in the component file file. For the `ImageComponent`, this could look like this:
```tsx
useEffect(() => {
addNotification(`${parentPath}.${name} changed.`);
}, [props.value]);
```
However, you might want to use the `addNotification` at different places. For an example, see the [MethodComponent](../../frontend/src/components/MethodComponent.tsx).
### Step 6: Write Tests for the Component (TODO)
Test the frontend component to ensure that it renders correctly and interacts seamlessly
with the backend. Consider writing unit tests using a testing library like Jest or React
Testing Library, and manually test the component in the browser.

8
docs/dev-guide/README.md Normal file
View File

@@ -0,0 +1,8 @@
# Developer Guide
Extending `pydase`.
---
- [API Reference](api.md)
- [Adding Components](Adding_Components.md)

0
docs/dev-guide/api.md Normal file
View File

14
docs/getting-started.md Normal file
View File

@@ -0,0 +1,14 @@
# Getting Started
## Installation
{%
include-markdown "../README.md"
start="<!--installation-start-->"
end="<!--installation-end-->"
%}
## Usage
{%
include-markdown "../README.md"
start="<!--usage-start-->"
end="<!--usage-end-->"
%}

Binary file not shown.

After

Width:  |  Height:  |  Size: 18 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 27 KiB

After

Width:  |  Height:  |  Size: 33 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 52 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 38 KiB

Binary file not shown.

After

Width:  |  Height:  |  Size: 23 KiB

Binary file not shown.

Before

Width:  |  Height:  |  Size: 20 KiB

After

Width:  |  Height:  |  Size: 24 KiB

1
docs/index.md Normal file
View File

@@ -0,0 +1 @@
{% include-markdown "../README.md" %}

20
docs/requirements.txt Normal file
View File

@@ -0,0 +1,20 @@
click==8.1.7 ; python_version >= "3.10" and python_version < "4.0"
colorama==0.4.6 ; python_version >= "3.10" and python_version < "4.0" and platform_system == "Windows"
ghp-import==2.1.0 ; python_version >= "3.10" and python_version < "4.0"
jinja2==3.1.2 ; python_version >= "3.10" and python_version < "4.0"
markdown==3.4.4 ; python_version >= "3.10" and python_version < "4.0"
markupsafe==2.1.3 ; python_version >= "3.10" and python_version < "4.0"
mergedeep==1.3.4 ; python_version >= "3.10" and python_version < "4.0"
mkdocs-autorefs==0.5.0 ; python_version >= "3.10" and python_version < "4.0"
mkdocs-include-markdown-plugin==3.9.1 ; python_version >= "3.10" and python_version < "4.0"
mkdocs==1.5.3 ; python_version >= "3.10" and python_version < "4.0"
mkdocstrings==0.22.0 ; python_version >= "3.10" and python_version < "4.0"
packaging==23.1 ; python_version >= "3.10" and python_version < "4.0"
pathspec==0.11.2 ; python_version >= "3.10" and python_version < "4.0"
platformdirs==3.10.0 ; python_version >= "3.10" and python_version < "4.0"
pymdown-extensions==10.3 ; python_version >= "3.10" and python_version < "4.0"
python-dateutil==2.8.2 ; python_version >= "3.10" and python_version < "4.0"
pyyaml-env-tag==0.1 ; python_version >= "3.10" and python_version < "4.0"
pyyaml==6.0.1 ; python_version >= "3.10" and python_version < "4.0"
six==1.16.0 ; python_version >= "3.10" and python_version < "4.0"
watchdog==3.0.0 ; python_version >= "3.10" and python_version < "4.0"

View File

@@ -0,0 +1,7 @@
# Components Guide
{%
include-markdown "../../README.md"
start="<!-- Component User Guide Start -->"
end="<!-- Component User Guide End -->"
heading-offset=-2
%}

View File

@@ -112,7 +112,7 @@ const reducer = (state: State, action: Action): State => {
const App = () => {
const [state, dispatch] = useReducer(reducer, null);
const stateRef = useRef(state); // Declare a reference to hold the current state
const [isInstantUpdate, setIsInstantUpdate] = useState(true);
const [isInstantUpdate, setIsInstantUpdate] = useState(false);
const [showSettings, setShowSettings] = useState(false);
const [showNotification, setShowNotification] = useState(true);
const [notifications, setNotifications] = useState([]);

View File

@@ -0,0 +1,75 @@
import React, { useEffect, useRef } from 'react';
import { InputGroup, Form, Row, Col } from 'react-bootstrap';
import { emit_update } from '../socket';
import { DocStringComponent } from './DocStringComponent';
interface ColouredEnumComponentProps {
name: string;
parentPath: string;
value: string;
docString?: string;
readOnly: boolean;
enumDict: Record<string, string>;
addNotification: (string) => void;
}
export const ColouredEnumComponent = React.memo((props: ColouredEnumComponentProps) => {
const {
name,
parentPath: parentPath,
value,
docString,
enumDict,
readOnly,
addNotification
} = props;
const renderCount = useRef(0);
useEffect(() => {
renderCount.current++;
});
useEffect(() => {
addNotification(`${parentPath}.${name} changed to ${value}.`);
}, [props.value]);
const handleValueChange = (newValue) => {
console.log(newValue);
emit_update(name, parentPath, newValue);
};
return (
<div className={'enumComponent'} id={parentPath.concat('.' + name)}>
{process.env.NODE_ENV === 'development' && (
<p>Render count: {renderCount.current}</p>
)}
<DocStringComponent docString={docString} />
<Row>
<Col className="d-flex align-items-center">
<InputGroup.Text>{name}</InputGroup.Text>
{readOnly ? (
// Display the Form.Control when readOnly is true
<Form.Control
value={value}
disabled={true}
style={{ backgroundColor: enumDict[value] }}
/>
) : (
// Display the Form.Select when readOnly is false
<Form.Select
aria-label="coloured-enum-select"
value={value}
style={{ backgroundColor: enumDict[value] }}
onChange={(event) => handleValueChange(event.target.value)}>
{Object.entries(enumDict).map(([key, val]) => (
<option key={key} value={key}>
{key}
</option>
))}
</Form.Select>
)}
</Col>
</Row>
</div>
);
});

View File

@@ -9,6 +9,7 @@ import { StringComponent } from './StringComponent';
import { ListComponent } from './ListComponent';
import { DataServiceComponent, DataServiceJSON } from './DataServiceComponent';
import { ImageComponent } from './ImageComponent';
import { ColouredEnumComponent } from './ColouredEnumComponent';
type AttributeType =
| 'str'
@@ -21,7 +22,8 @@ type AttributeType =
| 'DataService'
| 'Enum'
| 'NumberSlider'
| 'Image';
| 'Image'
| 'ColouredEnum';
type ValueType = boolean | string | number | object;
export interface Attribute {
@@ -181,6 +183,19 @@ export const GenericComponent = React.memo(
addNotification={addNotification}
/>
);
} else if (attribute.type === 'ColouredEnum') {
console.log(attribute);
return (
<ColouredEnumComponent
name={name}
parentPath={parentPath}
docString={attribute.doc}
value={String(attribute.value)}
readOnly={attribute.readonly}
enumDict={attribute.enum}
addNotification={addNotification}
/>
);
} else {
return <div key={name}>{name}</div>;
}

View File

@@ -1,5 +1,5 @@
import React, { useEffect, useRef, useState } from 'react';
import { Form, InputGroup, Button } from 'react-bootstrap';
import { Form, InputGroup } from 'react-bootstrap';
import { emit_update } from '../socket';
import { DocStringComponent } from './DocStringComponent';
import '../App.css';
@@ -163,7 +163,12 @@ export const NumberComponent = React.memo((props: NumberComponentProps) => {
addNotification(notificationMsg);
}, [props.value]);
const handleNumericKey = (key: string, value: string, selectionStart: number) => {
const handleNumericKey = (
key: string,
value: string,
selectionStart: number,
selectionEnd: number
) => {
// Check if a number key or a decimal point key is pressed
if (key === '.' && (value.includes('.') || props.type === 'int')) {
// Check if value already contains a decimal. If so, ignore input.
@@ -171,8 +176,18 @@ export const NumberComponent = React.memo((props: NumberComponentProps) => {
console.warn('Invalid input! Ignoring...');
return { value, selectionStart };
}
let newValue = value;
// Add the new key at the cursor's position
const newValue = value.slice(0, selectionStart) + key + value.slice(selectionStart);
if (selectionEnd > selectionStart) {
// If there is a selection, replace it with the key
newValue = value.slice(0, selectionStart) + key + value.slice(selectionEnd);
} else {
// otherwise, append the key after the selection start
newValue = value.slice(0, selectionStart) + key + value.slice(selectionStart);
}
return { value: newValue, selectionStart: selectionStart + 1 };
};
const handleKeyDown = (event) => {
@@ -204,13 +219,15 @@ export const NumberComponent = React.memo((props: NumberComponentProps) => {
({ value: newValue, selectionStart } = handleNumericKey(
key,
value,
selectionStart
selectionStart,
selectionEnd
));
} else if (key === '.') {
({ value: newValue, selectionStart } = handleNumericKey(
key,
value,
selectionStart
selectionStart,
selectionEnd
));
} else if (key === 'ArrowUp' || key === 'ArrowDown') {
({ value: newValue, selectionStart } = handleArrowKey(
@@ -277,16 +294,6 @@ export const NumberComponent = React.memo((props: NumberComponentProps) => {
/>
{unit && <InputGroup.Text>{unit}</InputGroup.Text>}
</InputGroup>
{!readOnly && (
<div className="d-flex flex-column">
<Button className="numberComponentButton" variant="outline-secondary">
+
</Button>
<Button className="numberComponentButton" variant="outline-secondary">
-
</Button>
</div>
)}
</div>
</div>
);

View File

@@ -1,5 +1,5 @@
import React, { useEffect, useRef, useState } from 'react';
import { InputGroup, Form, Row, Col, Button, Collapse } from 'react-bootstrap';
import { InputGroup, Form, Row, Col, Collapse, ToggleButton } from 'react-bootstrap';
import { emit_update } from '../socket';
import { DocStringComponent } from './DocStringComponent';
import { Slider } from '@mui/material';
@@ -144,10 +144,13 @@ export const SliderComponent = React.memo((props: SliderComponentProps) => {
/>
</Col>
<Col xs="auto">
<Button
<ToggleButton
onClick={() => setOpen(!open)}
type="checkbox"
checked={open}
value=""
className="btn"
variant="white"
variant="light"
aria-controls="slider-settings"
aria-expanded={open}>
<svg
@@ -159,7 +162,7 @@ export const SliderComponent = React.memo((props: SliderComponentProps) => {
<path d="M8 4.754a3.246 3.246 0 1 0 0 6.492 3.246 3.246 0 0 0 0-6.492zM5.754 8a2.246 2.246 0 1 1 4.492 0 2.246 2.246 0 0 1-4.492 0z" />
<path d="M9.796 1.343c-.527-1.79-3.065-1.79-3.592 0l-.094.319a.873.873 0 0 1-1.255.52l-.292-.16c-1.64-.892-3.433.902-2.54 2.541l.159.292a.873.873 0 0 1-.52 1.255l-.319.094c-1.79.527-1.79 3.065 0 3.592l.319.094a.873.873 0 0 1 .52 1.255l-.16.292c-.892 1.64.901 3.434 2.541 2.54l.292-.159a.873.873 0 0 1 1.255.52l.094.319c.527 1.79 3.065 1.79 3.592 0l.094-.319a.873.873 0 0 1 1.255-.52l.292.16c1.64.893 3.434-.902 2.54-2.541l-.159-.292a.873.873 0 0 1 .52-1.255l.319-.094c1.79-.527 1.79-3.065 0-3.592l-.319-.094a.873.873 0 0 1-.52-1.255l.16-.292c.893-1.64-.902-3.433-2.541-2.54l-.292.159a.873.873 0 0 1-1.255-.52l-.094-.319zm-2.633.283c.246-.835 1.428-.835 1.674 0l.094.319a1.873 1.873 0 0 0 2.693 1.115l.291-.16c.764-.415 1.6.42 1.184 1.185l-.159.292a1.873 1.873 0 0 0 1.116 2.692l.318.094c.835.246.835 1.428 0 1.674l-.319.094a1.873 1.873 0 0 0-1.115 2.693l.16.291c.415.764-.42 1.6-1.185 1.184l-.291-.159a1.873 1.873 0 0 0-2.693 1.116l-.094.318c-.246.835-1.428.835-1.674 0l-.094-.319a1.873 1.873 0 0 0-2.692-1.115l-.292.16c-.764.415-1.6-.42-1.184-1.185l.159-.291A1.873 1.873 0 0 0 1.945 8.93l-.319-.094c-.835-.246-.835-1.428 0-1.674l.319-.094A1.873 1.873 0 0 0 3.06 4.377l-.16-.292c-.415-.764.42-1.6 1.185-1.184l.292.159a1.873 1.873 0 0 0 2.692-1.115l.094-.319z" />
</svg>
</Button>
</ToggleButton>
</Col>
</Row>
<Collapse in={open}>

41
mkdocs.yml Normal file
View File

@@ -0,0 +1,41 @@
site_name: pydase Documentation
repo_url: https://github.com/tiqi-group/pydase
edit_uri: blob/docs/docs/
nav:
- Home: index.md
- Getting Started: getting-started.md
- User Guide:
- Components Guide: user-guide/Components.md
- Developer Guide:
- Developer Guide: dev-guide/README.md
- API Reference: dev-guide/api.md
- Adding Components: dev-guide/Adding_Components.md
- About:
- Release Notes: about/release-notes.md
- Contributing: about/contributing.md
- License: about/license.md
theme: readthedocs
extra_css:
- css/extra.css
markdown_extensions:
- smarty
- toc:
permalink: true
- pymdownx.highlight:
anchor_linenums: true
- pymdownx.snippets
- pymdownx.superfences
# - pymdownx.highlight:
# - pymdownx.inlinehilite
plugins:
- include-markdown
- search
- mkdocstrings
watch:
- src/pydase

573
poetry.lock generated
View File

@@ -494,6 +494,23 @@ ufo = ["fs (>=2.2.0,<3)"]
unicode = ["unicodedata2 (>=15.0.0)"]
woff = ["brotli (>=1.0.1)", "brotlicffi (>=0.8.0)", "zopfli (>=0.1.4)"]
[[package]]
name = "ghp-import"
version = "2.1.0"
description = "Copy your docs directly to the gh-pages branch."
optional = false
python-versions = "*"
files = [
{file = "ghp-import-2.1.0.tar.gz", hash = "sha256:9c535c4c61193c2df8871222567d7fd7e5014d835f97dc7b7439069e2413d343"},
{file = "ghp_import-2.1.0-py3-none-any.whl", hash = "sha256:8337dd7b50877f163d4c0289bc1f1c7f127550241988d568c1db512c4324a619"},
]
[package.dependencies]
python-dateutil = ">=2.8.1"
[package.extras]
dev = ["flake8", "markdown", "twine", "wheel"]
[[package]]
name = "h11"
version = "0.14.0"
@@ -544,6 +561,23 @@ pipfile-deprecated-finder = ["pip-shims (>=0.5.2)", "pipreqs", "requirementslib"
plugins = ["setuptools"]
requirements-deprecated-finder = ["pip-api", "pipreqs"]
[[package]]
name = "jinja2"
version = "3.1.2"
description = "A very fast and expressive template engine."
optional = false
python-versions = ">=3.7"
files = [
{file = "Jinja2-3.1.2-py3-none-any.whl", hash = "sha256:6088930bfe239f0e6710546ab9c19c9ef35e29792895fed6e6e31a023a182a61"},
{file = "Jinja2-3.1.2.tar.gz", hash = "sha256:31351a702a408a9e7595a8fc6150fc3f43bb6bf7e319770cbc0db9df9437e852"},
]
[package.dependencies]
MarkupSafe = ">=2.0"
[package.extras]
i18n = ["Babel (>=2.7)"]
[[package]]
name = "kiwisolver"
version = "1.4.4"
@@ -639,6 +673,80 @@ win32-setctime = {version = ">=1.0.0", markers = "sys_platform == \"win32\""}
[package.extras]
dev = ["Sphinx (==5.3.0)", "colorama (==0.4.5)", "colorama (==0.4.6)", "freezegun (==1.1.0)", "freezegun (==1.2.2)", "mypy (==v0.910)", "mypy (==v0.971)", "mypy (==v0.990)", "pre-commit (==3.2.1)", "pytest (==6.1.2)", "pytest (==7.2.1)", "pytest-cov (==2.12.1)", "pytest-cov (==4.0.0)", "pytest-mypy-plugins (==1.10.1)", "pytest-mypy-plugins (==1.9.3)", "sphinx-autobuild (==2021.3.14)", "sphinx-rtd-theme (==1.2.0)", "tox (==3.27.1)", "tox (==4.4.6)"]
[[package]]
name = "markdown"
version = "3.4.4"
description = "Python implementation of John Gruber's Markdown."
optional = false
python-versions = ">=3.7"
files = [
{file = "Markdown-3.4.4-py3-none-any.whl", hash = "sha256:a4c1b65c0957b4bd9e7d86ddc7b3c9868fb9670660f6f99f6d1bca8954d5a941"},
{file = "Markdown-3.4.4.tar.gz", hash = "sha256:225c6123522495d4119a90b3a3ba31a1e87a70369e03f14799ea9c0d7183a3d6"},
]
[package.extras]
docs = ["mdx-gh-links (>=0.2)", "mkdocs (>=1.0)", "mkdocs-nature (>=0.4)"]
testing = ["coverage", "pyyaml"]
[[package]]
name = "markupsafe"
version = "2.1.3"
description = "Safely add untrusted strings to HTML/XML markup."
optional = false
python-versions = ">=3.7"
files = [
{file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:cd0f502fe016460680cd20aaa5a76d241d6f35a1c3350c474bac1273803893fa"},
{file = "MarkupSafe-2.1.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:e09031c87a1e51556fdcb46e5bd4f59dfb743061cf93c4d6831bf894f125eb57"},
{file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:68e78619a61ecf91e76aa3e6e8e33fc4894a2bebe93410754bd28fce0a8a4f9f"},
{file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:65c1a9bcdadc6c28eecee2c119465aebff8f7a584dd719facdd9e825ec61ab52"},
{file = "MarkupSafe-2.1.3-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:525808b8019e36eb524b8c68acdd63a37e75714eac50e988180b169d64480a00"},
{file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:962f82a3086483f5e5f64dbad880d31038b698494799b097bc59c2edf392fce6"},
{file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_i686.whl", hash = "sha256:aa7bd130efab1c280bed0f45501b7c8795f9fdbeb02e965371bbef3523627779"},
{file = "MarkupSafe-2.1.3-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:c9c804664ebe8f83a211cace637506669e7890fec1b4195b505c214e50dd4eb7"},
{file = "MarkupSafe-2.1.3-cp310-cp310-win32.whl", hash = "sha256:10bbfe99883db80bdbaff2dcf681dfc6533a614f700da1287707e8a5d78a8431"},
{file = "MarkupSafe-2.1.3-cp310-cp310-win_amd64.whl", hash = "sha256:1577735524cdad32f9f694208aa75e422adba74f1baee7551620e43a3141f559"},
{file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:ad9e82fb8f09ade1c3e1b996a6337afac2b8b9e365f926f5a61aacc71adc5b3c"},
{file = "MarkupSafe-2.1.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:3c0fae6c3be832a0a0473ac912810b2877c8cb9d76ca48de1ed31e1c68386575"},
{file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:b076b6226fb84157e3f7c971a47ff3a679d837cf338547532ab866c57930dbee"},
{file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:bfce63a9e7834b12b87c64d6b155fdd9b3b96191b6bd334bf37db7ff1fe457f2"},
{file = "MarkupSafe-2.1.3-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:338ae27d6b8745585f87218a3f23f1512dbf52c26c28e322dbe54bcede54ccb9"},
{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:e4dd52d80b8c83fdce44e12478ad2e85c64ea965e75d66dbeafb0a3e77308fcc"},
{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_i686.whl", hash = "sha256:df0be2b576a7abbf737b1575f048c23fb1d769f267ec4358296f31c2479db8f9"},
{file = "MarkupSafe-2.1.3-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:5bbe06f8eeafd38e5d0a4894ffec89378b6c6a625ff57e3028921f8ff59318ac"},
{file = "MarkupSafe-2.1.3-cp311-cp311-win32.whl", hash = "sha256:dd15ff04ffd7e05ffcb7fe79f1b98041b8ea30ae9234aed2a9168b5797c3effb"},
{file = "MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl", hash = "sha256:134da1eca9ec0ae528110ccc9e48041e0828d79f24121a1a146161103c76e686"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:8e254ae696c88d98da6555f5ace2279cf7cd5b3f52be2b5cf97feafe883b58d2"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cb0932dc158471523c9637e807d9bfb93e06a95cbf010f1a38b98623b929ef2b"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9402b03f1a1b4dc4c19845e5c749e3ab82d5078d16a2a4c2cd2df62d57bb0707"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:ca379055a47383d02a5400cb0d110cef0a776fc644cda797db0c5696cfd7e18e"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:b7ff0f54cb4ff66dd38bebd335a38e2c22c41a8ee45aa608efc890ac3e3931bc"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_i686.whl", hash = "sha256:c011a4149cfbcf9f03994ec2edffcb8b1dc2d2aede7ca243746df97a5d41ce48"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:56d9f2ecac662ca1611d183feb03a3fa4406469dafe241673d521dd5ae92a155"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-win32.whl", hash = "sha256:8758846a7e80910096950b67071243da3e5a20ed2546e6392603c096778d48e0"},
{file = "MarkupSafe-2.1.3-cp37-cp37m-win_amd64.whl", hash = "sha256:787003c0ddb00500e49a10f2844fac87aa6ce977b90b0feaaf9de23c22508b24"},
{file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:2ef12179d3a291be237280175b542c07a36e7f60718296278d8593d21ca937d4"},
{file = "MarkupSafe-2.1.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:2c1b19b3aaacc6e57b7e25710ff571c24d6c3613a45e905b1fde04d691b98ee0"},
{file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:8afafd99945ead6e075b973fefa56379c5b5c53fd8937dad92c662da5d8fd5ee"},
{file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8c41976a29d078bb235fea9b2ecd3da465df42a562910f9022f1a03107bd02be"},
{file = "MarkupSafe-2.1.3-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:d080e0a5eb2529460b30190fcfcc4199bd7f827663f858a226a81bc27beaa97e"},
{file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:69c0f17e9f5a7afdf2cc9fb2d1ce6aabdb3bafb7f38017c0b77862bcec2bbad8"},
{file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_i686.whl", hash = "sha256:504b320cd4b7eff6f968eddf81127112db685e81f7e36e75f9f84f0df46041c3"},
{file = "MarkupSafe-2.1.3-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:42de32b22b6b804f42c5d98be4f7e5e977ecdd9ee9b660fda1a3edf03b11792d"},
{file = "MarkupSafe-2.1.3-cp38-cp38-win32.whl", hash = "sha256:ceb01949af7121f9fc39f7d27f91be8546f3fb112c608bc4029aef0bab86a2a5"},
{file = "MarkupSafe-2.1.3-cp38-cp38-win_amd64.whl", hash = "sha256:1b40069d487e7edb2676d3fbdb2b0829ffa2cd63a2ec26c4938b2d34391b4ecc"},
{file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:8023faf4e01efadfa183e863fefde0046de576c6f14659e8782065bcece22198"},
{file = "MarkupSafe-2.1.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:6b2b56950d93e41f33b4223ead100ea0fe11f8e6ee5f641eb753ce4b77a7042b"},
{file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9dcdfd0eaf283af041973bff14a2e143b8bd64e069f4c383416ecd79a81aab58"},
{file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:05fb21170423db021895e1ea1e1f3ab3adb85d1c2333cbc2310f2a26bc77272e"},
{file = "MarkupSafe-2.1.3-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.manylinux_2_17_i686.manylinux2014_i686.whl", hash = "sha256:282c2cb35b5b673bbcadb33a585408104df04f14b2d9b01d4c345a3b92861c2c"},
{file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:ab4a0df41e7c16a1392727727e7998a467472d0ad65f3ad5e6e765015df08636"},
{file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_i686.whl", hash = "sha256:7ef3cb2ebbf91e330e3bb937efada0edd9003683db6b57bb108c4001f37a02ea"},
{file = "MarkupSafe-2.1.3-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:0a4e4a1aff6c7ac4cd55792abf96c915634c2b97e3cc1c7129578aa68ebd754e"},
{file = "MarkupSafe-2.1.3-cp39-cp39-win32.whl", hash = "sha256:fec21693218efe39aa7f8599346e90c705afa52c5b31ae019b2e57e8f6542bb2"},
{file = "MarkupSafe-2.1.3-cp39-cp39-win_amd64.whl", hash = "sha256:3fd4abcb888d15a94f32b75d8fd18ee162ca0c064f35b11134be77050296d6ba"},
{file = "MarkupSafe-2.1.3.tar.gz", hash = "sha256:af598ed32d6ae86f1b747b82783958b1a4ab8f617b06fe68795c7f026abbdcad"},
]
[[package]]
name = "matplotlib"
version = "3.7.2"
@@ -711,6 +819,101 @@ files = [
{file = "mccabe-0.7.0.tar.gz", hash = "sha256:348e0240c33b60bbdf4e523192ef919f28cb2c3d7d5c7794f74009290f236325"},
]
[[package]]
name = "mergedeep"
version = "1.3.4"
description = "A deep merge function for 🐍."
optional = false
python-versions = ">=3.6"
files = [
{file = "mergedeep-1.3.4-py3-none-any.whl", hash = "sha256:70775750742b25c0d8f36c55aed03d24c3384d17c951b3175d898bd778ef0307"},
{file = "mergedeep-1.3.4.tar.gz", hash = "sha256:0096d52e9dad9939c3d975a774666af186eda617e6ca84df4c94dec30004f2a8"},
]
[[package]]
name = "mkdocs"
version = "1.5.2"
description = "Project documentation with Markdown."
optional = false
python-versions = ">=3.7"
files = [
{file = "mkdocs-1.5.2-py3-none-any.whl", hash = "sha256:60a62538519c2e96fe8426654a67ee177350451616118a41596ae7c876bb7eac"},
{file = "mkdocs-1.5.2.tar.gz", hash = "sha256:70d0da09c26cff288852471be03c23f0f521fc15cf16ac89c7a3bfb9ae8d24f9"},
]
[package.dependencies]
click = ">=7.0"
colorama = {version = ">=0.4", markers = "platform_system == \"Windows\""}
ghp-import = ">=1.0"
jinja2 = ">=2.11.1"
markdown = ">=3.2.1"
markupsafe = ">=2.0.1"
mergedeep = ">=1.3.4"
packaging = ">=20.5"
pathspec = ">=0.11.1"
platformdirs = ">=2.2.0"
pyyaml = ">=5.1"
pyyaml-env-tag = ">=0.1"
watchdog = ">=2.0"
[package.extras]
i18n = ["babel (>=2.9.0)"]
min-versions = ["babel (==2.9.0)", "click (==7.0)", "colorama (==0.4)", "ghp-import (==1.0)", "importlib-metadata (==4.3)", "jinja2 (==2.11.1)", "markdown (==3.2.1)", "markupsafe (==2.0.1)", "mergedeep (==1.3.4)", "packaging (==20.5)", "pathspec (==0.11.1)", "platformdirs (==2.2.0)", "pyyaml (==5.1)", "pyyaml-env-tag (==0.1)", "typing-extensions (==3.10)", "watchdog (==2.0)"]
[[package]]
name = "mkdocs-autorefs"
version = "0.5.0"
description = "Automatically link across pages in MkDocs."
optional = false
python-versions = ">=3.8"
files = [
{file = "mkdocs_autorefs-0.5.0-py3-none-any.whl", hash = "sha256:7930fcb8ac1249f10e683967aeaddc0af49d90702af111a5e390e8b20b3d97ff"},
{file = "mkdocs_autorefs-0.5.0.tar.gz", hash = "sha256:9a5054a94c08d28855cfab967ada10ed5be76e2bfad642302a610b252c3274c0"},
]
[package.dependencies]
Markdown = ">=3.3"
mkdocs = ">=1.1"
[[package]]
name = "mkdocs-include-markdown-plugin"
version = "3.9.1"
description = "Mkdocs Markdown includer plugin."
optional = false
python-versions = ">=3.6"
files = [
{file = "mkdocs_include_markdown_plugin-3.9.1-py3-none-any.whl", hash = "sha256:f33687e29ac66d045ba181ea50f054646b0090b42b0a4318f08e7f1d1235e6f6"},
{file = "mkdocs_include_markdown_plugin-3.9.1.tar.gz", hash = "sha256:5e5698e78d7fea111be9873a456089daa333497988405acaac8eba2924a19152"},
]
[package.extras]
dev = ["bump2version (==1.0.1)", "mkdocs (==1.4.0)", "pre-commit", "pytest (==7.1.3)", "pytest-cov (==3.0.0)", "tox"]
test = ["mkdocs (==1.4.0)", "pytest (==7.1.3)", "pytest-cov (==3.0.0)"]
[[package]]
name = "mkdocstrings"
version = "0.22.0"
description = "Automatic documentation from sources, for MkDocs."
optional = false
python-versions = ">=3.7"
files = [
{file = "mkdocstrings-0.22.0-py3-none-any.whl", hash = "sha256:2d4095d461554ff6a778fdabdca3c00c468c2f1459d469f7a7f622a2b23212ba"},
{file = "mkdocstrings-0.22.0.tar.gz", hash = "sha256:82a33b94150ebb3d4b5c73bab4598c3e21468c79ec072eff6931c8f3bfc38256"},
]
[package.dependencies]
Jinja2 = ">=2.11.1"
Markdown = ">=3.3"
MarkupSafe = ">=1.1"
mkdocs = ">=1.2"
mkdocs-autorefs = ">=0.3.1"
pymdown-extensions = ">=6.3"
[package.extras]
crystal = ["mkdocstrings-crystal (>=0.3.4)"]
python = ["mkdocstrings-python (>=0.5.2)"]
python-legacy = ["mkdocstrings-python-legacy (>=0.2.1)"]
[[package]]
name = "mr-proper"
version = "0.0.7"
@@ -729,33 +932,38 @@ stdlib-list = ">=0.5.0"
[[package]]
name = "mypy"
version = "1.5.0"
version = "1.5.1"
description = "Optional static typing for Python"
optional = false
python-versions = ">=3.8"
files = [
{file = "mypy-1.5.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:ad3109bec37cc33654de8db30fe8ff3a1bb57ea65144167d68185e6dced9868d"},
{file = "mypy-1.5.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:b4ea3a0241cb005b0ccdbd318fb99619b21ae51bcf1660b95fc22e0e7d3ba4a1"},
{file = "mypy-1.5.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1fe816e26e676c1311b9e04fd576543b873576d39439f7c24c8e5c7728391ecf"},
{file = "mypy-1.5.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:42170e68adb1603ccdc55a30068f72bcfcde2ce650188e4c1b2a93018b826735"},
{file = "mypy-1.5.0-cp310-cp310-win_amd64.whl", hash = "sha256:d145b81a8214687cfc1f85c03663a5bbe736777410e5580e54d526e7e904f564"},
{file = "mypy-1.5.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:c36011320e452eb30bec38b9fd3ba20569dc9545d7d4540d967f3ea1fab9c374"},
{file = "mypy-1.5.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:f3940cf5845b2512b3ab95463198b0cdf87975dfd17fdcc6ce9709a9abe09e69"},
{file = "mypy-1.5.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:9166186c498170e1ff478a7f540846b2169243feb95bc228d39a67a1a450cdc6"},
{file = "mypy-1.5.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:725b57a19b7408ef66a0fd9db59b5d3e528922250fb56e50bded27fea9ff28f0"},
{file = "mypy-1.5.0-cp311-cp311-win_amd64.whl", hash = "sha256:eec5c927aa4b3e8b4781840f1550079969926d0a22ce38075f6cfcf4b13e3eb4"},
{file = "mypy-1.5.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:79c520aa24f21852206b5ff2cf746dc13020113aa73fa55af504635a96e62718"},
{file = "mypy-1.5.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:769ddb6bfe55c2bd9c7d6d7020885a5ea14289619db7ee650e06b1ef0852c6f4"},
{file = "mypy-1.5.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cbf18f8db7e5f060d61c91e334d3b96d6bb624ddc9ee8a1cde407b737acbca2c"},
{file = "mypy-1.5.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:a2500ad063413bc873ae102cf655bf49889e0763b260a3a7cf544a0cbbf7e70a"},
{file = "mypy-1.5.0-cp38-cp38-win_amd64.whl", hash = "sha256:84cf9f7d8a8a22bb6a36444480f4cbf089c917a4179fbf7eea003ea931944a7f"},
{file = "mypy-1.5.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:a551ed0fc02455fe2c1fb0145160df8336b90ab80224739627b15ebe2b45e9dc"},
{file = "mypy-1.5.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:372fd97293ed0076d52695849f59acbbb8461c4ab447858cdaeaf734a396d823"},
{file = "mypy-1.5.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c8a7444d6fcac7e2585b10abb91ad900a576da7af8f5cffffbff6065d9115813"},
{file = "mypy-1.5.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:35b13335c6c46a386577a51f3d38b2b5d14aa619e9633bb756bd77205e4bd09f"},
{file = "mypy-1.5.0-cp39-cp39-win_amd64.whl", hash = "sha256:2c9d570f53908cbea326ad8f96028a673b814d9dca7515bf71d95fa662c3eb6f"},
{file = "mypy-1.5.0-py3-none-any.whl", hash = "sha256:69b32d0dedd211b80f1b7435644e1ef83033a2af2ac65adcdc87c38db68a86be"},
{file = "mypy-1.5.0.tar.gz", hash = "sha256:f3460f34b3839b9bc84ee3ed65076eb827cd99ed13ed08d723f9083cada4a212"},
{file = "mypy-1.5.1-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:f33592ddf9655a4894aef22d134de7393e95fcbdc2d15c1ab65828eee5c66c70"},
{file = "mypy-1.5.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:258b22210a4a258ccd077426c7a181d789d1121aca6db73a83f79372f5569ae0"},
{file = "mypy-1.5.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a9ec1f695f0c25986e6f7f8778e5ce61659063268836a38c951200c57479cc12"},
{file = "mypy-1.5.1-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:abed92d9c8f08643c7d831300b739562b0a6c9fcb028d211134fc9ab20ccad5d"},
{file = "mypy-1.5.1-cp310-cp310-win_amd64.whl", hash = "sha256:a156e6390944c265eb56afa67c74c0636f10283429171018446b732f1a05af25"},
{file = "mypy-1.5.1-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:6ac9c21bfe7bc9f7f1b6fae441746e6a106e48fc9de530dea29e8cd37a2c0cc4"},
{file = "mypy-1.5.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:51cb1323064b1099e177098cb939eab2da42fea5d818d40113957ec954fc85f4"},
{file = "mypy-1.5.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:596fae69f2bfcb7305808c75c00f81fe2829b6236eadda536f00610ac5ec2243"},
{file = "mypy-1.5.1-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:32cb59609b0534f0bd67faebb6e022fe534bdb0e2ecab4290d683d248be1b275"},
{file = "mypy-1.5.1-cp311-cp311-win_amd64.whl", hash = "sha256:159aa9acb16086b79bbb0016145034a1a05360626046a929f84579ce1666b315"},
{file = "mypy-1.5.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:f6b0e77db9ff4fda74de7df13f30016a0a663928d669c9f2c057048ba44f09bb"},
{file = "mypy-1.5.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:26f71b535dfc158a71264e6dc805a9f8d2e60b67215ca0bfa26e2e1aa4d4d373"},
{file = "mypy-1.5.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:2fc3a600f749b1008cc75e02b6fb3d4db8dbcca2d733030fe7a3b3502902f161"},
{file = "mypy-1.5.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:26fb32e4d4afa205b24bf645eddfbb36a1e17e995c5c99d6d00edb24b693406a"},
{file = "mypy-1.5.1-cp312-cp312-win_amd64.whl", hash = "sha256:82cb6193de9bbb3844bab4c7cf80e6227d5225cc7625b068a06d005d861ad5f1"},
{file = "mypy-1.5.1-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:4a465ea2ca12804d5b34bb056be3a29dc47aea5973b892d0417c6a10a40b2d65"},
{file = "mypy-1.5.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:9fece120dbb041771a63eb95e4896791386fe287fefb2837258925b8326d6160"},
{file = "mypy-1.5.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d28ddc3e3dfeab553e743e532fb95b4e6afad51d4706dd22f28e1e5e664828d2"},
{file = "mypy-1.5.1-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:57b10c56016adce71fba6bc6e9fd45d8083f74361f629390c556738565af8eeb"},
{file = "mypy-1.5.1-cp38-cp38-win_amd64.whl", hash = "sha256:ff0cedc84184115202475bbb46dd99f8dcb87fe24d5d0ddfc0fe6b8575c88d2f"},
{file = "mypy-1.5.1-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:8f772942d372c8cbac575be99f9cc9d9fb3bd95c8bc2de6c01411e2c84ebca8a"},
{file = "mypy-1.5.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:5d627124700b92b6bbaa99f27cbe615c8ea7b3402960f6372ea7d65faf376c14"},
{file = "mypy-1.5.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:361da43c4f5a96173220eb53340ace68cda81845cd88218f8862dfb0adc8cddb"},
{file = "mypy-1.5.1-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:330857f9507c24de5c5724235e66858f8364a0693894342485e543f5b07c8693"},
{file = "mypy-1.5.1-cp39-cp39-win_amd64.whl", hash = "sha256:c543214ffdd422623e9fedd0869166c2f16affe4ba37463975043ef7d2ea8770"},
{file = "mypy-1.5.1-py3-none-any.whl", hash = "sha256:f757063a83970d67c444f6e01d9550a7402322af3557ce7630d3c957386fa8f5"},
{file = "mypy-1.5.1.tar.gz", hash = "sha256:b031b9601f1060bf1281feab89697324726ba0c0bae9d7cd7ab4b690940f0b92"},
]
[package.dependencies]
@@ -779,6 +987,20 @@ files = [
{file = "mypy_extensions-1.0.0.tar.gz", hash = "sha256:75dbf8955dc00442a438fc4d0666508a9a97b6bd41aa2f0ffe9d2f2725af0782"},
]
[[package]]
name = "nodeenv"
version = "1.8.0"
description = "Node.js virtual environment builder"
optional = false
python-versions = ">=2.7,!=3.0.*,!=3.1.*,!=3.2.*,!=3.3.*,!=3.4.*,!=3.5.*,!=3.6.*"
files = [
{file = "nodeenv-1.8.0-py2.py3-none-any.whl", hash = "sha256:df865724bb3c3adc86b3876fa209771517b0cfe596beff01a92700e0e8be4cec"},
{file = "nodeenv-1.8.0.tar.gz", hash = "sha256:d51e0c37e64fbf47d017feac3145cdbb58836d7eee8c6f6d3b6880c5456227d2"},
]
[package.dependencies]
setuptools = "*"
[[package]]
name = "numpy"
version = "1.25.2"
@@ -990,18 +1212,18 @@ files = [
[[package]]
name = "pydantic"
version = "2.1.1"
version = "2.2.0"
description = "Data validation using Python type hints"
optional = false
python-versions = ">=3.7"
files = [
{file = "pydantic-2.1.1-py3-none-any.whl", hash = "sha256:43bdbf359d6304c57afda15c2b95797295b702948082d4c23851ce752f21da70"},
{file = "pydantic-2.1.1.tar.gz", hash = "sha256:22d63db5ce4831afd16e7c58b3192d3faf8f79154980d9397d9867254310ba4b"},
{file = "pydantic-2.2.0-py3-none-any.whl", hash = "sha256:a479d511d1337ad091bd1ef90a7aaf707326968cff78a579108bc289b7f5ecdd"},
{file = "pydantic-2.2.0.tar.gz", hash = "sha256:5f30f37a75bca15930e256da6a401f1cb953eb3bc578d454c0876f4e1459a7fa"},
]
[package.dependencies]
annotated-types = ">=0.4.0"
pydantic-core = "2.4.0"
pydantic-core = "2.6.0"
typing-extensions = ">=4.6.1"
[package.extras]
@@ -1009,112 +1231,117 @@ email = ["email-validator (>=2.0.0)"]
[[package]]
name = "pydantic-core"
version = "2.4.0"
version = "2.6.0"
description = ""
optional = false
python-versions = ">=3.7"
files = [
{file = "pydantic_core-2.4.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:2ca4687dd996bde7f3c420def450797feeb20dcee2b9687023e3323c73fc14a2"},
{file = "pydantic_core-2.4.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:782fced7d61469fd1231b184a80e4f2fa7ad54cd7173834651a453f96f29d673"},
{file = "pydantic_core-2.4.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:6213b471b68146af97b8551294e59e7392c2117e28ffad9c557c65087f4baee3"},
{file = "pydantic_core-2.4.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63797499a219d8e81eb4e0c42222d0a4c8ec896f5c76751d4258af95de41fdf1"},
{file = "pydantic_core-2.4.0-cp310-cp310-manylinux_2_24_armv7l.whl", hash = "sha256:0455876d575a35defc4da7e0a199596d6c773e20d3d42fa1fc29f6aa640369ed"},
{file = "pydantic_core-2.4.0-cp310-cp310-manylinux_2_24_ppc64le.whl", hash = "sha256:8c938c96294d983dcf419b54dba2d21056959c22911d41788efbf949a29ae30d"},
{file = "pydantic_core-2.4.0-cp310-cp310-manylinux_2_24_s390x.whl", hash = "sha256:878a5017d93e776c379af4e7b20f173c82594d94fa073059bcc546789ad50bf8"},
{file = "pydantic_core-2.4.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:69159afc2f2dc43285725f16143bc5df3c853bc1cb7df6021fce7ef1c69e8171"},
{file = "pydantic_core-2.4.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:54df7df399b777c1fd144f541c95d351b3aa110535a6810a6a569905d106b6f3"},
{file = "pydantic_core-2.4.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:e412607ca89a0ced10758dfb8f9adcc365ce4c1c377e637c01989a75e9a9ec8a"},
{file = "pydantic_core-2.4.0-cp310-none-win32.whl", hash = "sha256:853f103e2b9a58832fdd08a587a51de8b552ae90e1a5d167f316b7eabf8d7dde"},
{file = "pydantic_core-2.4.0-cp310-none-win_amd64.whl", hash = "sha256:3ba2c9c94a9176f6321a879c8b864d7c5b12d34f549a4c216c72ce213d7d953c"},
{file = "pydantic_core-2.4.0-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:a8b7acd04896e8f161e1500dc5f218017db05c1d322f054e89cbd089ce5d0071"},
{file = "pydantic_core-2.4.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:16468bd074fa4567592d3255bf25528ed41e6b616d69bf07096bdb5b66f947d1"},
{file = "pydantic_core-2.4.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:cba5ad5eef02c86a1f3da00544cbc59a510d596b27566479a7cd4d91c6187a11"},
{file = "pydantic_core-2.4.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b7206e41e04b443016e930e01685bab7a308113c0b251b3f906942c8d4b48fcb"},
{file = "pydantic_core-2.4.0-cp311-cp311-manylinux_2_24_armv7l.whl", hash = "sha256:c1375025f0bfc9155286ebae8eecc65e33e494c90025cda69e247c3ccd2bab00"},
{file = "pydantic_core-2.4.0-cp311-cp311-manylinux_2_24_ppc64le.whl", hash = "sha256:3534118289e33130ed3f1cc487002e8d09b9f359be48b02e9cd3de58ce58fba9"},
{file = "pydantic_core-2.4.0-cp311-cp311-manylinux_2_24_s390x.whl", hash = "sha256:94d2b36a74623caab262bf95f0e365c2c058396082bd9d6a9e825657d0c1e7fa"},
{file = "pydantic_core-2.4.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:af24ad4fbaa5e4a2000beae0c3b7fd1c78d7819ab90f9370a1cfd8998e3f8a3c"},
{file = "pydantic_core-2.4.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:bf10963d8aed8bbe0165b41797c9463d4c5c8788ae6a77c68427569be6bead41"},
{file = "pydantic_core-2.4.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:68199ada7c310ddb8c76efbb606a0de656b40899388a7498954f423e03fc38be"},
{file = "pydantic_core-2.4.0-cp311-none-win32.whl", hash = "sha256:6f855bcc96ed3dd56da7373cfcc9dcbabbc2073cac7f65c185772d08884790ce"},
{file = "pydantic_core-2.4.0-cp311-none-win_amd64.whl", hash = "sha256:de39eb3bab93a99ddda1ac1b9aa331b944d8bcc4aa9141148f7fd8ee0299dafc"},
{file = "pydantic_core-2.4.0-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:f773b39780323a0499b53ebd91a28ad11cde6705605d98d999dfa08624caf064"},
{file = "pydantic_core-2.4.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:a297c0d6c61963c5c3726840677b798ca5b7dfc71bc9c02b9a4af11d23236008"},
{file = "pydantic_core-2.4.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:546064c55264156b973b5e65e5fafbe5e62390902ce3cf6b4005765505e8ff56"},
{file = "pydantic_core-2.4.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:36ba9e728588588f0196deaf6751b9222492331b5552f865a8ff120869d372e0"},
{file = "pydantic_core-2.4.0-cp312-cp312-manylinux_2_24_armv7l.whl", hash = "sha256:57a53a75010c635b3ad6499e7721eaa3b450e03f6862afe2dbef9c8f66e46ec8"},
{file = "pydantic_core-2.4.0-cp312-cp312-manylinux_2_24_ppc64le.whl", hash = "sha256:4b262bbc13022f2097c48a21adcc360a81d83dc1d854c11b94953cd46d7d3c07"},
{file = "pydantic_core-2.4.0-cp312-cp312-manylinux_2_24_s390x.whl", hash = "sha256:01947ad728f426fa07fcb26457ebf90ce29320259938414bc0edd1476e75addb"},
{file = "pydantic_core-2.4.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b2799c2eaf182769889761d4fb4d78b82bc47dae833799fedbf69fc7de306faa"},
{file = "pydantic_core-2.4.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:a08fd490ba36d1fbb2cd5dcdcfb9f3892deb93bd53456724389135712b5fc735"},
{file = "pydantic_core-2.4.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:1e8a7c62d15a5c4b307271e4252d76ebb981d6251c6ecea4daf203ef0179ea4f"},
{file = "pydantic_core-2.4.0-cp312-none-win32.whl", hash = "sha256:9206c14a67c38de7b916e486ae280017cf394fa4b1aa95cfe88621a4e1d79725"},
{file = "pydantic_core-2.4.0-cp312-none-win_amd64.whl", hash = "sha256:884235507549a6b2d3c4113fb1877ae263109e787d9e0eb25c35982ab28d0399"},
{file = "pydantic_core-2.4.0-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:4cbe929efa77a806e8f1a97793f2dc3ea3475ae21a9ed0f37c21320fe93f6f50"},
{file = "pydantic_core-2.4.0-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:9137289de8fe845c246a8c3482dd0cb40338846ba683756d8f489a4bd8fddcae"},
{file = "pydantic_core-2.4.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:c5d8e764b5646623e57575f624f8ebb8f7a9f7fd1fae682ef87869ca5fec8dcf"},
{file = "pydantic_core-2.4.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:8fba0aff4c407d0274e43697e785bcac155ad962be57518d1c711f45e72da70f"},
{file = "pydantic_core-2.4.0-cp37-cp37m-manylinux_2_24_armv7l.whl", hash = "sha256:30527d173e826f2f7651f91c821e337073df1555e3b5a0b7b1e2c39e26e50678"},
{file = "pydantic_core-2.4.0-cp37-cp37m-manylinux_2_24_ppc64le.whl", hash = "sha256:bd7d1dde70ff3e09e4bc7a1cbb91a7a538add291bfd5b3e70ef1e7b45192440f"},
{file = "pydantic_core-2.4.0-cp37-cp37m-manylinux_2_24_s390x.whl", hash = "sha256:72f1216ca8cef7b8adacd4c4c6b89c3b0c4f97503197f5284c80f36d6e4edd30"},
{file = "pydantic_core-2.4.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:b013c7861a7c7bfcec48fd709513fea6f9f31727e7a0a93ca0dd12e056740717"},
{file = "pydantic_core-2.4.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:478f5f6d7e32bd4a04d102160efb2d389432ecf095fe87c555c0a6fc4adfc1a4"},
{file = "pydantic_core-2.4.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d9610b47b5fe4aacbbba6a9cb5f12cbe864eec99dbfed5710bd32ef5dd8a5d5b"},
{file = "pydantic_core-2.4.0-cp37-none-win32.whl", hash = "sha256:ff246c0111076c8022f9ba325c294f2cb5983403506989253e04dbae565e019b"},
{file = "pydantic_core-2.4.0-cp37-none-win_amd64.whl", hash = "sha256:d0c2b713464a8e263a243ae7980d81ce2de5ac59a9f798a282e44350b42dc516"},
{file = "pydantic_core-2.4.0-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:12ef6838245569fd60a179fade81ca4b90ae2fa0ef355d616f519f7bb27582db"},
{file = "pydantic_core-2.4.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:49db206eb8fdc4b4f30e6e3e410584146d813c151928f94ec0db06c4f2595538"},
{file = "pydantic_core-2.4.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0a507d7fa44688bbac76af6521e488b3da93de155b9cba6f2c9b7833ce243d59"},
{file = "pydantic_core-2.4.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ffe18407a4d000c568182ce5388bbbedeb099896904e43fc14eee76cfae6dec5"},
{file = "pydantic_core-2.4.0-cp38-cp38-manylinux_2_24_armv7l.whl", hash = "sha256:fa8e48001b39d54d97d7b380a0669fa99fc0feeb972e35a2d677ba59164a9a22"},
{file = "pydantic_core-2.4.0-cp38-cp38-manylinux_2_24_ppc64le.whl", hash = "sha256:394f12a2671ff8c4dfa2e85be6c08be0651ad85bc1e6aa9c77c21671baaf28cd"},
{file = "pydantic_core-2.4.0-cp38-cp38-manylinux_2_24_s390x.whl", hash = "sha256:2f9ea0355f90db2a76af530245fa42f04d98f752a1236ed7c6809ec484560d5b"},
{file = "pydantic_core-2.4.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:61d4e713f467abcdd59b47665d488bb898ad3dd47ce7446522a50e0cbd8e8279"},
{file = "pydantic_core-2.4.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:453862ab268f6326b01f067ed89cb3a527d34dc46f6f4eeec46a15bbc706d0da"},
{file = "pydantic_core-2.4.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:56a85fa0dab1567bd0cac10f0c3837b03e8a0d939e6a8061a3a420acd97e9421"},
{file = "pydantic_core-2.4.0-cp38-none-win32.whl", hash = "sha256:0d726108c1c0380b88b6dd4db559f0280e0ceda9e077f46ff90bc85cd4d03e77"},
{file = "pydantic_core-2.4.0-cp38-none-win_amd64.whl", hash = "sha256:047580388644c473b934d27849f8ed8dbe45df0adb72104e78b543e13bf69762"},
{file = "pydantic_core-2.4.0-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:867d3eea954bea807cabba83cfc939c889a18576d66d197c60025b15269d7cc0"},
{file = "pydantic_core-2.4.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:664402ef0c238a7f8a46efb101789d5f2275600fb18114446efec83cfadb5b66"},
{file = "pydantic_core-2.4.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:64e8012ad60a5f0da09ed48725e6e923d1be25f2f091a640af6079f874663813"},
{file = "pydantic_core-2.4.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:ac2b680de398f293b68183317432b3d67ab3faeba216aec18de0c395cb5e3060"},
{file = "pydantic_core-2.4.0-cp39-cp39-manylinux_2_24_armv7l.whl", hash = "sha256:8efc1be43b036c2b6bcfb1451df24ee0ddcf69c31351003daf2699ed93f5687b"},
{file = "pydantic_core-2.4.0-cp39-cp39-manylinux_2_24_ppc64le.whl", hash = "sha256:d93aedbc4614cc21b9ab0d0c4ccd7143354c1f7cffbbe96ae5216ad21d1b21b5"},
{file = "pydantic_core-2.4.0-cp39-cp39-manylinux_2_24_s390x.whl", hash = "sha256:af788b64e13d52fc3600a68b16d31fa8d8573e3ff2fc9a38f8a60b8d94d1f012"},
{file = "pydantic_core-2.4.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:97c6349c81cee2e69ef59eba6e6c08c5936e6b01c2d50b9e4ac152217845ae09"},
{file = "pydantic_core-2.4.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:cc086ddb6dc654a15deeed1d1f2bcb1cb924ebd70df9dca738af19f64229b06c"},
{file = "pydantic_core-2.4.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:e953353180bec330c3b830891d260b6f8e576e2d18db3c78d314e56bb2276066"},
{file = "pydantic_core-2.4.0-cp39-none-win32.whl", hash = "sha256:6feb4b64d11d5420e517910d60a907d08d846cacaf4e029668725cd21d16743c"},
{file = "pydantic_core-2.4.0-cp39-none-win_amd64.whl", hash = "sha256:153a61ac4030fa019b70b31fb7986461119230d3ba0ab661c757cfea652f4332"},
{file = "pydantic_core-2.4.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:3fcf529382b282a30b466bd7af05be28e22aa620e016135ac414f14e1ee6b9e1"},
{file = "pydantic_core-2.4.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:2edef05b63d82568b877002dc4cb5cc18f8929b59077120192df1e03e0c633f8"},
{file = "pydantic_core-2.4.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da055a1b0bfa8041bb2ff586b2cb0353ed03944a3472186a02cc44a557a0e661"},
{file = "pydantic_core-2.4.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:77dadc764cf7c5405e04866181c5bd94a447372a9763e473abb63d1dfe9b7387"},
{file = "pydantic_core-2.4.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:a4ea23b07f29487a7bef2a869f68c7ee0e05424d81375ce3d3de829314c6b5ec"},
{file = "pydantic_core-2.4.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:382f0baa044d674ad59455a5eff83d7965572b745cc72df35c52c2ce8c731d37"},
{file = "pydantic_core-2.4.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:08f89697625e453421401c7f661b9d1eb4c9e4c0a12fd256eeb55b06994ac6af"},
{file = "pydantic_core-2.4.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:43a405ce520b45941df9ff55d0cd09762017756a7b413bbad3a6e8178e64a2c2"},
{file = "pydantic_core-2.4.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:584a7a818c84767af16ce8bda5d4f7fedb37d3d231fc89928a192f567e4ef685"},
{file = "pydantic_core-2.4.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:04922fea7b13cd480586fa106345fe06e43220b8327358873c22d8dfa7a711c7"},
{file = "pydantic_core-2.4.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:17156abac20a9feed10feec867fddd91a80819a485b0107fe61f09f2117fe5f3"},
{file = "pydantic_core-2.4.0-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:4e562cc63b04636cde361fd47569162f1daa94c759220ff202a8129902229114"},
{file = "pydantic_core-2.4.0-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:90f3785146f701e053bb6b9e8f53acce2c919aca91df88bd4975be0cb926eb41"},
{file = "pydantic_core-2.4.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:e40b1e97edd3dc127aa53d8a5e539a3d0c227d71574d3f9ac1af02d58218a122"},
{file = "pydantic_core-2.4.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:b27f3e67f6e031f6620655741b7d0d6bebea8b25d415924b3e8bfef2dd7bd841"},
{file = "pydantic_core-2.4.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:be86c2eb12fb0f846262ace9d8f032dc6978b8cb26a058920ecb723dbcb87d05"},
{file = "pydantic_core-2.4.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:4665f7ed345012a8d2eddf4203ef145f5f56a291d010382d235b94e91813f88a"},
{file = "pydantic_core-2.4.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:79262be5a292d1df060f29b9a7cdd66934801f987a817632d7552534a172709a"},
{file = "pydantic_core-2.4.0-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:5fd905a69ac74eaba5041e21a1e8b1a479dab2b41c93bdcc4c1cede3c12a8d86"},
{file = "pydantic_core-2.4.0-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:2ad538b7e07343001934417cdc8584623b4d8823c5b8b258e75ec8d327cec969"},
{file = "pydantic_core-2.4.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:dd2429f7635ad4857b5881503f9c310be7761dc681c467a9d27787b674d1250a"},
{file = "pydantic_core-2.4.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:efff8b6761a1f6e45cebd1b7a6406eb2723d2d5710ff0d1b624fe11313693989"},
{file = "pydantic_core-2.4.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:32a1e0352558cd7ccc014ffe818c7d87b15ec6145875e2cc5fa4bb7351a1033d"},
{file = "pydantic_core-2.4.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a027f41c5008571314861744d83aff75a34cf3a07022e0be32b214a5bc93f7f1"},
{file = "pydantic_core-2.4.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:1927f0e15d190f11f0b8344373731e28fd774c6d676d8a6cfadc95c77214a48b"},
{file = "pydantic_core-2.4.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:7aa82d483d5fb867d4fb10a138ffd57b0f1644e99f2f4f336e48790ada9ada5e"},
{file = "pydantic_core-2.4.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b85778308bf945e9b33ac604e6793df9b07933108d20bdf53811bc7c2798a4af"},
{file = "pydantic_core-2.4.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:3ded19dcaefe2f6706d81e0db787b59095f4ad0fbadce1edffdf092294c8a23f"},
{file = "pydantic_core-2.4.0.tar.gz", hash = "sha256:ec3473c9789cc00c7260d840c3db2c16dbfc816ca70ec87a00cddfa3e1a1cdd5"},
{file = "pydantic_core-2.6.0-cp310-cp310-macosx_10_7_x86_64.whl", hash = "sha256:2ae2d2aa91f442427d5d607f5bc07a6601aea7e9812c158b11dfac4fca28b24a"},
{file = "pydantic_core-2.6.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:cddecc97d923c3fae698820a788d6e7fda61538244dd2a0808d6263115fe5870"},
{file = "pydantic_core-2.6.0-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:482a20567991170d0b55aa4d73084858ab8d54804ffef8061f254c0f8b9cf668"},
{file = "pydantic_core-2.6.0-cp310-cp310-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:775710d825f2b2ffe8a0bfd8d17cb8de6a9e562e78f50171c5afa9c508faa45c"},
{file = "pydantic_core-2.6.0-cp310-cp310-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4fd9661a30a370faae9303dfde31d09d5b6f28113f8dace9a63f51d205703a8d"},
{file = "pydantic_core-2.6.0-cp310-cp310-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:4e9430096484696a1837f55728c804917ad694f8e965ad0317ff896db21c3a7b"},
{file = "pydantic_core-2.6.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:253d769ce88f6d5b8ae8965f08c486114e30b5e5478f327348b77615a2a543cb"},
{file = "pydantic_core-2.6.0-cp310-cp310-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:959aa63057738b426137d3de99d8da118f5c8ba19a238fdb5e5f0717297e9da4"},
{file = "pydantic_core-2.6.0-cp310-cp310-musllinux_1_1_aarch64.whl", hash = "sha256:c2c54ce857d0adb549fc735ffe84b9d1e77d1b460656fb2d3faa9050a85d8d37"},
{file = "pydantic_core-2.6.0-cp310-cp310-musllinux_1_1_x86_64.whl", hash = "sha256:fe66139cfdd02ec4a0aad0cecf53bf9933c748097a97beb9042c03f236dd68b9"},
{file = "pydantic_core-2.6.0-cp310-none-win32.whl", hash = "sha256:1781e985a9493f3fdca4c010fc6a009ab4fd40a61ab78e5cc9820eb8010c1c4c"},
{file = "pydantic_core-2.6.0-cp310-none-win_amd64.whl", hash = "sha256:1d1b6c14c1116e797758bf1ff93ff18ab493279609aec6a60e6dee9de9065255"},
{file = "pydantic_core-2.6.0-cp311-cp311-macosx_10_7_x86_64.whl", hash = "sha256:2f80f6790e87ec29ba28aab9a66b07ee789ec8fa6ea94aeac47e27f0019a061c"},
{file = "pydantic_core-2.6.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:04d6de74f91ff1a88975bc5e3c7103b676106af380ce8d9b56649116e0855dc9"},
{file = "pydantic_core-2.6.0-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:9c7507d40bd5d055dadba8ae9b6008356f380ce102942e0740228d97e8bd4152"},
{file = "pydantic_core-2.6.0-cp311-cp311-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:82e34dc040001f50bec1a7a5c09fb6566635078ce91943cd10445a560cb3fe23"},
{file = "pydantic_core-2.6.0-cp311-cp311-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:49848c89575d7768ea8762cc029f573a3d611452c41d05ae75bdcea8f77a9e5c"},
{file = "pydantic_core-2.6.0-cp311-cp311-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:04b0e91c338536e3e3f77c3ed5354d14c46163f1c6b0706037b0b4be409eb943"},
{file = "pydantic_core-2.6.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6265372636a78bc6b8ba92f7d2dafca353c549edc8082a602d00a28f71a9155a"},
{file = "pydantic_core-2.6.0-cp311-cp311-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:42caa59248750573efbce6a74f3e121f9def86dc2087772d51f0907c2ed6dc61"},
{file = "pydantic_core-2.6.0-cp311-cp311-musllinux_1_1_aarch64.whl", hash = "sha256:fd29541fb6f7647f535c0067cabb50ec014f13fa599ac4e34152abb5cb046988"},
{file = "pydantic_core-2.6.0-cp311-cp311-musllinux_1_1_x86_64.whl", hash = "sha256:e4d46cd802c163914f07124735371812e9bed8a39acbebcee5bd06d43f454e1a"},
{file = "pydantic_core-2.6.0-cp311-none-win32.whl", hash = "sha256:75850d211015ae46e28b3e05ee0cc8687316505cad385170aff70ad60f143011"},
{file = "pydantic_core-2.6.0-cp311-none-win_amd64.whl", hash = "sha256:ff462b08951adaf55dbcc623d9b57823e888ffa4886f902dfc2c69d6ddc1ce4b"},
{file = "pydantic_core-2.6.0-cp311-none-win_arm64.whl", hash = "sha256:658f4e8afe60d8400526d6db28d4e88e76027cf6111716fc090de87d14b5c311"},
{file = "pydantic_core-2.6.0-cp312-cp312-macosx_10_7_x86_64.whl", hash = "sha256:a7d7b5af9ee32517280228629daca013ecc9a7834075af3d928287539ccd54ec"},
{file = "pydantic_core-2.6.0-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:7d03de66eda2c3a6eab2c2cf43eeece37e4cf811e891361b1fb8d8d3cd109f3a"},
{file = "pydantic_core-2.6.0-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:693df3a922d94ba1c42ea732df7ab2f0492d6081b0170e86753a45e8822342a6"},
{file = "pydantic_core-2.6.0-cp312-cp312-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:bf6cb8b9c23dbb074f2d97b02af4d9d5401bd8015daad3e92fc35f88c5c07ba6"},
{file = "pydantic_core-2.6.0-cp312-cp312-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:a8aee2623180f736fc426925489e84bd244e45de4175dec76f10d4fda775721b"},
{file = "pydantic_core-2.6.0-cp312-cp312-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:582bfd6e7d09f5883f607b7171fcd2010d226497d9dfc9703c8aa8d58431fa84"},
{file = "pydantic_core-2.6.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b52ce001eacd9906955576c71ee3fad9a442117b86dd84e5ea18e6ce287078d"},
{file = "pydantic_core-2.6.0-cp312-cp312-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:179da6a5264d11cf2defba17c0003f6e27922d95f37b4818905115e2c9b8f7ed"},
{file = "pydantic_core-2.6.0-cp312-cp312-musllinux_1_1_aarch64.whl", hash = "sha256:4118471f4ba0f92fbe84bb6c0f645b423eaa5453e0dc4b6c0a6759da818352ba"},
{file = "pydantic_core-2.6.0-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:afd9d1ef2805729898f580ccde0e76a3edd39cf16778c2139222047c8d25893b"},
{file = "pydantic_core-2.6.0-cp312-none-win32.whl", hash = "sha256:c029084413a8eeb7d7b179d647d1e1a5cbfd5e5a817862a0ba8c5024fc9febf2"},
{file = "pydantic_core-2.6.0-cp312-none-win_amd64.whl", hash = "sha256:86a74d426ca995deb3c847a2b382775b93a306fce13ae7b66cdc5fb8090a3ac5"},
{file = "pydantic_core-2.6.0-cp312-none-win_arm64.whl", hash = "sha256:5a878f37a144c5641ead8b0771164dd22237ed4013b9899f250f0992447114e0"},
{file = "pydantic_core-2.6.0-cp37-cp37m-macosx_10_7_x86_64.whl", hash = "sha256:f9ebd8c45c8729bb23bb902a5cff573996fe5d86c3fc8c17cde3443345533889"},
{file = "pydantic_core-2.6.0-cp37-cp37m-macosx_11_0_arm64.whl", hash = "sha256:0faddd509ca1811d7e595cb48dc9b63d080a95f8434c5dc6660f268694f3c20f"},
{file = "pydantic_core-2.6.0-cp37-cp37m-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:859e11c4543bfd16b8033d50a2d7e4190fc5c6e182a6419b0d7c41109e3841b9"},
{file = "pydantic_core-2.6.0-cp37-cp37m-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:9f1a5fafbbadca467f426eb796bec61a908a670dfdcb984d300b9dd4d8b82433"},
{file = "pydantic_core-2.6.0-cp37-cp37m-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:e3247b6d304226b12e240ff3fb0eb56b45520cd609d382fde6338a5556d44783"},
{file = "pydantic_core-2.6.0-cp37-cp37m-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:67f7658ac47a88ea3859389c4a67713edce77ade653812e0a574bc8f0cb0d951"},
{file = "pydantic_core-2.6.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:310a47d94895628d3563859cb970cad1b3ee7a5f2282d9bd5512b3c5a09d4379"},
{file = "pydantic_core-2.6.0-cp37-cp37m-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:2ee383e256a0e4b8bff1832fb31c530380a1421a714276ffd32609ce58a4c77a"},
{file = "pydantic_core-2.6.0-cp37-cp37m-musllinux_1_1_aarch64.whl", hash = "sha256:148162967ede812466915bee671403dd2ded9822332df6c52866348129d4e58e"},
{file = "pydantic_core-2.6.0-cp37-cp37m-musllinux_1_1_x86_64.whl", hash = "sha256:d0d672be281d2e297f95ca301710aed9ad7e10c56a691337c2f22375feb60f29"},
{file = "pydantic_core-2.6.0-cp37-none-win32.whl", hash = "sha256:ed683ff1663fd596ce84cf4d132f7ce7b94f0b60686ee06ca2c8e151ccb918e7"},
{file = "pydantic_core-2.6.0-cp37-none-win_amd64.whl", hash = "sha256:301e47c7cabc1c435773fcf0c7278181add0f211ddaf4c683bbfb62e09457c33"},
{file = "pydantic_core-2.6.0-cp38-cp38-macosx_10_7_x86_64.whl", hash = "sha256:14ec281d30dd1a7fbf62e0afe4bc7bfac4b5edcf8da7affef1a79e874f3899cb"},
{file = "pydantic_core-2.6.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:d13fc39e2d2957f32d8fa9d013bd7165d00c43890bdaea1e20a726873c50531b"},
{file = "pydantic_core-2.6.0-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:905048671ef08f2a504cdf7e26ffbe88efd74494ba821f2cdb1e4b1506236047"},
{file = "pydantic_core-2.6.0-cp38-cp38-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:99b6004cd989bbcaf32e0794e6f42460b6f5ac047b2eb443a661cfdba29704e5"},
{file = "pydantic_core-2.6.0-cp38-cp38-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:4bac3e606b7f8fffd5e3a0d7c5d6ab110075c9dc16b9f8932cb077b6d985f8de"},
{file = "pydantic_core-2.6.0-cp38-cp38-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:77865eb89c646673bedc7de4acd0a076dd6bada2f01d010675031cd855b052cf"},
{file = "pydantic_core-2.6.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cdbc528c7c6fef0e9aa1b4ba620d707c9735cfc92e6b666b83862ee55faa9605"},
{file = "pydantic_core-2.6.0-cp38-cp38-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:7291e0e36c1bc5c3b20d3f3cf77ba9ac7a26423ec50781d4f0435c45ddfe18c2"},
{file = "pydantic_core-2.6.0-cp38-cp38-musllinux_1_1_aarch64.whl", hash = "sha256:f693255ffec26a090c76adfb8f6286b76f5f3c9aa245f4bbe03aede102d815ef"},
{file = "pydantic_core-2.6.0-cp38-cp38-musllinux_1_1_x86_64.whl", hash = "sha256:9e8d12016b2fdbf885e3c7580fa8f6d2e90838586faee511656f2022ebf71a2d"},
{file = "pydantic_core-2.6.0-cp38-none-win32.whl", hash = "sha256:59420b2fe9edfdc640e79aac09461400862d2e699ca59e5b96e5595cc7554736"},
{file = "pydantic_core-2.6.0-cp38-none-win_amd64.whl", hash = "sha256:757372e9b5c81cec72a077237d5d026ccd5ad9bf4931bebee4c92177d52b4eba"},
{file = "pydantic_core-2.6.0-cp39-cp39-macosx_10_7_x86_64.whl", hash = "sha256:6798756a5bee9991af64763ee2f3580505932a3f432af9a73bc9fdaca460261f"},
{file = "pydantic_core-2.6.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:3170a13c8cdb564f544ce03a7f26962828cce3456413b325fca49d32ef47ed1f"},
{file = "pydantic_core-2.6.0-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:51eb518682898df170d3d2ddd9c1f2a9496d79e5bd611b508d1a698e50b13fc6"},
{file = "pydantic_core-2.6.0-cp39-cp39-manylinux_2_17_armv7l.manylinux2014_armv7l.whl", hash = "sha256:fe01f83bea0e4715c49449039b3c60a59408f0ceee61bb8c9a64699545e5b786"},
{file = "pydantic_core-2.6.0-cp39-cp39-manylinux_2_17_ppc64le.manylinux2014_ppc64le.whl", hash = "sha256:11854f12f09d2a108d130645edbca7aecf24756455599b0b19dacd47499ccadc"},
{file = "pydantic_core-2.6.0-cp39-cp39-manylinux_2_17_s390x.manylinux2014_s390x.whl", hash = "sha256:16c572a839eb584115185146a04b15986e19e3cbf00e3788f8296b16ec7b3fd5"},
{file = "pydantic_core-2.6.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1e89b0a3f05416a7e67ec7257cddcf44263a10cea618cfc89855d46997c13742"},
{file = "pydantic_core-2.6.0-cp39-cp39-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:5464f3d27376739c7fa0af47096ac3696db1d8996d086167b3643f0443a1a976"},
{file = "pydantic_core-2.6.0-cp39-cp39-musllinux_1_1_aarch64.whl", hash = "sha256:0ff7df99df6ae485e33afafc7adbfae2e133501b5debea4f0c20cd1f679fa321"},
{file = "pydantic_core-2.6.0-cp39-cp39-musllinux_1_1_x86_64.whl", hash = "sha256:ac4148c3bede4269f286c7d094e98c717f1101025145e89baacbafc7c5f7f74b"},
{file = "pydantic_core-2.6.0-cp39-none-win32.whl", hash = "sha256:36d6211421a4dd6d11ccb08e9ac92d143132402403ab791688cfc01973ad3de1"},
{file = "pydantic_core-2.6.0-cp39-none-win_amd64.whl", hash = "sha256:83f5a3e201fe16684c12e654423a0c293733a57a1f9a9f284dbfb1b59f0e79bb"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-macosx_10_7_x86_64.whl", hash = "sha256:eeb7b4e1dd925db174a410680c846cb7ab7eb1923f556b44cf53cea774dc42fa"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-macosx_11_0_arm64.whl", hash = "sha256:b0b4bcc57b12980b67e5eed09732102b19380f79dcba09444faa7a5c1826a432"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a5534040341ac6ad4d133023cd45da3654fff77795481c8e4d4508cafd248ba5"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:358f5d48aa850054ef1b148f4c3000b2ea216db4ab611039080bea294002349c"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f5ca934143857626de2423d65d487687c87931a62044ed5ee0deee55018569f4"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:5b3159c893a1d6dc93080b882d7c4fa8651abbb228a4d920066f3f48b7a200ac"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:5d9510004c4db5c683e349905c9700217da10b35d4447c7a1dfff1b6dd26192a"},
{file = "pydantic_core-2.6.0-pp310-pypy310_pp73-win_amd64.whl", hash = "sha256:fc54501cdffbc8a7dbe300d6e4745c910d767a1aa273febca965f5fa561036b1"},
{file = "pydantic_core-2.6.0-pp37-pypy37_pp73-macosx_10_7_x86_64.whl", hash = "sha256:6cc456fc3c7156b23866ab953d3ff57010ab6a4b79ba686109ef93581467f6c3"},
{file = "pydantic_core-2.6.0-pp37-pypy37_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:aedc8671291d6ff17b9fc587fed982c4feeffdd28351c577695a5f07945c4625"},
{file = "pydantic_core-2.6.0-pp37-pypy37_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:997fa26fd71c5d8676fa6dfefc06be1fac65fd578934d40e7546c047b7bdd019"},
{file = "pydantic_core-2.6.0-pp37-pypy37_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:4f346c8fbd953f47711c388d9b856cad87cf72a714302bc04056f89d6ac55388"},
{file = "pydantic_core-2.6.0-pp37-pypy37_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:d61acd378c38bdcc1c109605831695eb27bd755d1fc5c765e40878601bd0c66b"},
{file = "pydantic_core-2.6.0-pp37-pypy37_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:3427ca73cffe42297bbb0ed712642d8484c42671b329441a2e51ce139f7e2f93"},
{file = "pydantic_core-2.6.0-pp37-pypy37_pp73-win_amd64.whl", hash = "sha256:dabfdc82432499ceb33bb204fa0e5c0004a7dc1d85ba0250c5849ddfddd94819"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-macosx_10_7_x86_64.whl", hash = "sha256:10da8e685fe25be11089a666346461e01e23164688a224e33fee25d2a86da4e0"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-macosx_11_0_arm64.whl", hash = "sha256:0dbd7262932b213b34f6c1bdd33b53b6ffc07e3cee21d63486d68e433020f452"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a9d6f16d771334c49a173403805ef874aff9800ea7c44f94ebf3817ae9c5631e"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:646324855acd153632bb86cbbd222771df7859b43d2891ace57c5b8c818ba8a7"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:f52e9edca854804b780bba5c82f7a1aafebb7a7c496879a45423cf991c361f9e"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:95e569d8f702851ab48e349c5eb2f8ea673657b7ed5f2ac335d540ebc8519385"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:b2ddc15cf29dc4b385c667064d7efb96431006dcf523527c3d749494b73e73a6"},
{file = "pydantic_core-2.6.0-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:0b52468b09ccee65bc96572345ec73dc89b42528874b626f7757000a6544d285"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-macosx_10_7_x86_64.whl", hash = "sha256:c020c5047b25e64c39006fa11f15d93adf4ae85154387f8e10232871ba78e7b2"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-macosx_11_0_arm64.whl", hash = "sha256:892e7de51b8191929bf1246a04c13674a4d4b8dced8a4f86def85a1b0cb1a1e4"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:d179b77fff4387a46ed0b63eb87ad6be58bb2a3a3415e69a44e918e8abcbd8c6"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3b35585d14028c1afa41c1183906ce4128128d1114be9958b5ad0fb3721b50a4"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-manylinux_2_5_i686.manylinux1_i686.whl", hash = "sha256:ffe8b2c8e30a87f6d7c1a78e23b8270a1acde9140cde425fa94688d302c8b2c9"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-musllinux_1_1_aarch64.whl", hash = "sha256:6cc57fb772b48e5fd3691ca82d3756b6e64b885676d27d66bff551d951a18e5c"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-musllinux_1_1_x86_64.whl", hash = "sha256:3d72ebaa6451490ae05d3da858120b395b3bf1bebc8a5238ef803ff0f4f16f38"},
{file = "pydantic_core-2.6.0-pp39-pypy39_pp73-win_amd64.whl", hash = "sha256:535f47fe0d2db647fdb0376cbbadd34fd00b3a5f56f772b0b0ef26928e8afa22"},
{file = "pydantic_core-2.6.0.tar.gz", hash = "sha256:e50513d8dd8ea67259d45986e314f545f219ebb2496eea52269e457cdc7419f4"},
]
[package.dependencies]
@@ -1131,6 +1358,21 @@ files = [
{file = "pyflakes-2.5.0.tar.gz", hash = "sha256:491feb020dca48ccc562a8c0cbe8df07ee13078df59813b83959cbdada312ea3"},
]
[[package]]
name = "pymdown-extensions"
version = "10.1"
description = "Extension pack for Python Markdown."
optional = false
python-versions = ">=3.7"
files = [
{file = "pymdown_extensions-10.1-py3-none-any.whl", hash = "sha256:ef25dbbae530e8f67575d222b75ff0649b1e841e22c2ae9a20bad9472c2207dc"},
{file = "pymdown_extensions-10.1.tar.gz", hash = "sha256:508009b211373058debb8247e168de4cbcb91b1bff7b5e961b2c3e864e00b195"},
]
[package.dependencies]
markdown = ">=3.2"
pyyaml = "*"
[[package]]
name = "pyparsing"
version = "3.0.9"
@@ -1145,6 +1387,24 @@ files = [
[package.extras]
diagrams = ["jinja2", "railroad-diagrams"]
[[package]]
name = "pyright"
version = "1.1.323"
description = "Command line wrapper for pyright"
optional = false
python-versions = ">=3.7"
files = [
{file = "pyright-1.1.323-py3-none-any.whl", hash = "sha256:23ce9eca401fda311be273784ebf128850d43a17f9e87dc299ffcdc0ffe91f75"},
{file = "pyright-1.1.323.tar.gz", hash = "sha256:f3029bfe96a3436a505464d28e3433fafe23ac5f86f52edab9a26cd66685825e"},
]
[package.dependencies]
nodeenv = ">=1.6.0"
[package.extras]
all = ["twine (>=3.4.1)"]
dev = ["twine (>=3.4.1)"]
[[package]]
name = "pytest"
version = "7.4.0"
@@ -1320,6 +1580,20 @@ files = [
{file = "PyYAML-6.0.1.tar.gz", hash = "sha256:bfdf460b1736c775f2ba9f6a92bca30bc2095067b8a9d77876d1fad6cc3b4a43"},
]
[[package]]
name = "pyyaml-env-tag"
version = "0.1"
description = "A custom YAML tag for referencing environment variables in YAML files. "
optional = false
python-versions = ">=3.6"
files = [
{file = "pyyaml_env_tag-0.1-py3-none-any.whl", hash = "sha256:af31106dec8a4d68c60207c1886031cbf839b68aa7abccdb19868200532c2069"},
{file = "pyyaml_env_tag-0.1.tar.gz", hash = "sha256:70092675bda14fdec33b31ba77e7543de9ddc88f2e5b99160396572d11525bdb"},
]
[package.dependencies]
pyyaml = "*"
[[package]]
name = "rpyc"
version = "5.3.1"
@@ -1469,6 +1743,45 @@ h11 = ">=0.8"
[package.extras]
standard = ["colorama (>=0.4)", "httptools (>=0.5.0)", "python-dotenv (>=0.13)", "pyyaml (>=5.1)", "uvloop (>=0.14.0,!=0.15.0,!=0.15.1)", "watchfiles (>=0.13)", "websockets (>=10.4)"]
[[package]]
name = "watchdog"
version = "3.0.0"
description = "Filesystem events monitoring"
optional = false
python-versions = ">=3.7"
files = [
{file = "watchdog-3.0.0-cp310-cp310-macosx_10_9_universal2.whl", hash = "sha256:336adfc6f5cc4e037d52db31194f7581ff744b67382eb6021c868322e32eef41"},
{file = "watchdog-3.0.0-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:a70a8dcde91be523c35b2bf96196edc5730edb347e374c7de7cd20c43ed95397"},
{file = "watchdog-3.0.0-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:adfdeab2da79ea2f76f87eb42a3ab1966a5313e5a69a0213a3cc06ef692b0e96"},
{file = "watchdog-3.0.0-cp311-cp311-macosx_10_9_universal2.whl", hash = "sha256:2b57a1e730af3156d13b7fdddfc23dea6487fceca29fc75c5a868beed29177ae"},
{file = "watchdog-3.0.0-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:7ade88d0d778b1b222adebcc0927428f883db07017618a5e684fd03b83342bd9"},
{file = "watchdog-3.0.0-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:7e447d172af52ad204d19982739aa2346245cc5ba6f579d16dac4bfec226d2e7"},
{file = "watchdog-3.0.0-cp37-cp37m-macosx_10_9_x86_64.whl", hash = "sha256:9fac43a7466eb73e64a9940ac9ed6369baa39b3bf221ae23493a9ec4d0022674"},
{file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_universal2.whl", hash = "sha256:8ae9cda41fa114e28faf86cb137d751a17ffd0316d1c34ccf2235e8a84365c7f"},
{file = "watchdog-3.0.0-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:25f70b4aa53bd743729c7475d7ec41093a580528b100e9a8c5b5efe8899592fc"},
{file = "watchdog-3.0.0-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:4f94069eb16657d2c6faada4624c39464f65c05606af50bb7902e036e3219be3"},
{file = "watchdog-3.0.0-cp39-cp39-macosx_10_9_universal2.whl", hash = "sha256:7c5f84b5194c24dd573fa6472685b2a27cc5a17fe5f7b6fd40345378ca6812e3"},
{file = "watchdog-3.0.0-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:3aa7f6a12e831ddfe78cdd4f8996af9cf334fd6346531b16cec61c3b3c0d8da0"},
{file = "watchdog-3.0.0-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:233b5817932685d39a7896b1090353fc8efc1ef99c9c054e46c8002561252fb8"},
{file = "watchdog-3.0.0-pp37-pypy37_pp73-macosx_10_9_x86_64.whl", hash = "sha256:13bbbb462ee42ec3c5723e1205be8ced776f05b100e4737518c67c8325cf6100"},
{file = "watchdog-3.0.0-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:8f3ceecd20d71067c7fd4c9e832d4e22584318983cabc013dbf3f70ea95de346"},
{file = "watchdog-3.0.0-pp39-pypy39_pp73-macosx_10_9_x86_64.whl", hash = "sha256:c9d8c8ec7efb887333cf71e328e39cffbf771d8f8f95d308ea4125bf5f90ba64"},
{file = "watchdog-3.0.0-py3-none-manylinux2014_aarch64.whl", hash = "sha256:0e06ab8858a76e1219e68c7573dfeba9dd1c0219476c5a44d5333b01d7e1743a"},
{file = "watchdog-3.0.0-py3-none-manylinux2014_armv7l.whl", hash = "sha256:d00e6be486affb5781468457b21a6cbe848c33ef43f9ea4a73b4882e5f188a44"},
{file = "watchdog-3.0.0-py3-none-manylinux2014_i686.whl", hash = "sha256:c07253088265c363d1ddf4b3cdb808d59a0468ecd017770ed716991620b8f77a"},
{file = "watchdog-3.0.0-py3-none-manylinux2014_ppc64.whl", hash = "sha256:5113334cf8cf0ac8cd45e1f8309a603291b614191c9add34d33075727a967709"},
{file = "watchdog-3.0.0-py3-none-manylinux2014_ppc64le.whl", hash = "sha256:51f90f73b4697bac9c9a78394c3acbbd331ccd3655c11be1a15ae6fe289a8c83"},
{file = "watchdog-3.0.0-py3-none-manylinux2014_s390x.whl", hash = "sha256:ba07e92756c97e3aca0912b5cbc4e5ad802f4557212788e72a72a47ff376950d"},
{file = "watchdog-3.0.0-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d429c2430c93b7903914e4db9a966c7f2b068dd2ebdd2fa9b9ce094c7d459f33"},
{file = "watchdog-3.0.0-py3-none-win32.whl", hash = "sha256:3ed7c71a9dccfe838c2f0b6314ed0d9b22e77d268c67e015450a29036a81f60f"},
{file = "watchdog-3.0.0-py3-none-win_amd64.whl", hash = "sha256:4c9956d27be0bb08fc5f30d9d0179a855436e655f046d288e2bcc11adfae893c"},
{file = "watchdog-3.0.0-py3-none-win_ia64.whl", hash = "sha256:5d9f3a10e02d7371cd929b5d8f11e87d4bad890212ed3901f9b4d68767bee759"},
{file = "watchdog-3.0.0.tar.gz", hash = "sha256:4d98a320595da7a7c5a18fc48cb633c2e73cda78f93cac2ef42d42bf609a33f9"},
]
[package.extras]
watchmedo = ["PyYAML (>=3.10)"]
[[package]]
name = "websockets"
version = "11.0.3"
@@ -1565,4 +1878,4 @@ dev = ["black (>=19.3b0)", "pytest (>=4.6.2)"]
[metadata]
lock-version = "2.0"
python-versions = "^3.10"
content-hash = "40dc80f2d2cd2eb9ec3e03f0d0e23f9692f6face4506032aae022656fcbea426"
content-hash = "7410508f069fe5405fb96f8645c0bbe015e23b271ac8de4b1f1a9ecd1fe84d5e"

View File

@@ -1,6 +1,6 @@
[tool.poetry]
name = "pydase"
version = "0.1.0"
version = "0.2.0"
description = "A flexible and robust Python library for creating, managing, and interacting with data services, with built-in support for web and RPC servers, and customizable features for diverse use cases."
authors = ["Mose Mueller <mosmuell@ethz.ch>"]
readme = "README.md"
@@ -35,6 +35,14 @@ flake8-pep585 = "^0.1.7"
flake8-pep604 = "^0.1.0"
flake8-eradicate = "^1.4.0"
matplotlib = "^3.7.2"
pyright = "^1.1.323"
[tool.poetry.group.docs.dependencies]
mkdocs = "^1.5.2"
mkdocs-include-markdown-plugin = "^3.9.1"
mkdocstrings = "^0.22.0"
pymdown-extensions = "^10.1"
[build-system]
requires = ["poetry-core"]

View File

@@ -1,5 +1,8 @@
from pydase.data_service import DataService
from pydase.server import Server
from pydase.utils.logging import setup_logging
setup_logging()
__all__ = [
"DataService",

View File

@@ -27,10 +27,12 @@ print(my_service.voltage.value) # Output: 5
```
"""
from pydase.components.coloured_enum import ColouredEnum
from pydase.components.image import Image
from pydase.components.number_slider import NumberSlider
__all__ = [
"NumberSlider",
"Image",
"ColouredEnum",
]

View File

@@ -0,0 +1,61 @@
from enum import Enum
class ColouredEnum(Enum):
"""
Represents a UI element that can display colour-coded text based on its value.
This class extends the standard Enum but requires its values to be valid CSS
colour codes. Supported colour formats include:
- Hexadecimal colours
- Hexadecimal colours with transparency
- RGB colours
- RGBA colours
- HSL colours
- HSLA colours
- Predefined/Cross-browser colour names
Refer to the this website for more details on colour formats:
(https://www.w3schools.com/cssref/css_colours_legal.php)
The behavior of this component in the UI depends on how it's defined in the data
service:
- As property with a setter or as attribute: Renders as a dropdown menu,
allowing users to select and change its value from the frontend.
- As property without a setter: Displays as a coloured box with the key of the
`ColouredEnum` as text inside, serving as a visual indicator without user
interaction.
Example:
--------
```python
import pydase.components as pyc
import pydase
class MyStatus(pyc.ColouredEnum):
PENDING = "#FFA500" # Orange
RUNNING = "#0000FF80" # Transparent Blue
PAUSED = "rgb(169, 169, 169)" # Dark Gray
RETRYING = "rgba(255, 255, 0, 0.3)" # Transparent Yellow
COMPLETED = "hsl(120, 100%, 50%)" # Green
FAILED = "hsla(0, 100%, 50%, 0.7)" # Transparent Red
CANCELLED = "SlateGray" # Slate Gray
class StatusExample(pydase.DataService):
_status = MyStatus.RUNNING
@property
def status(self) -> MyStatus:
return self._status
@status.setter
def status(self, value: MyStatus) -> None:
# Custom logic here...
self._status = value
# Example usage:
my_service = StatusExample()
my_service.status = MyStatus.FAILED
```
"""
pass

View File

@@ -4,6 +4,6 @@ from confz import BaseConfig, EnvSource
class OperationMode(BaseConfig): # type: ignore
environment: Literal["development"] | Literal["production"] = "production"
environment: Literal["development"] | Literal["production"] = "development"
CONFIG_SOURCES = EnvSource(allow=["ENVIRONMENT"])

View File

@@ -19,6 +19,7 @@ from pydase.utils.helpers import (
get_component_class_names,
get_nested_value_from_DataService_by_path_and_key,
get_object_attr_from_path,
is_property_attribute,
parse_list_attr_and_index,
update_value_if_changed,
)
@@ -58,13 +59,15 @@ class DataService(rpyc.Service, AbstractDataService):
self._load_values_from_json()
def __setattr__(self, __name: str, __value: Any) -> None:
current_value = getattr(self, __name, None)
# parse ints into floats if current value is a float
if isinstance(current_value, float) and isinstance(__value, int):
__value = float(__value)
# converting attributes that are not properties
if not isinstance(getattr(type(self), __name, None), property):
current_value = getattr(self, __name, None)
# parse ints into floats if current value is a float
if isinstance(current_value, float) and isinstance(__value, int):
__value = float(__value)
if isinstance(current_value, u.Quantity):
__value = u.convert_to_quantity(__value, str(current_value.u))
if isinstance(current_value, u.Quantity):
__value = u.convert_to_quantity(__value, str(current_value.u))
super().__setattr__(__name, __value)
@@ -80,10 +83,32 @@ class DataService(rpyc.Service, AbstractDataService):
def __check_instance_classes(self) -> None:
for attr_name, attr_value in get_class_and_instance_attributes(self).items():
# every class defined by the user should inherit from DataService
if not attr_name.startswith("_DataService__"):
# every class defined by the user should inherit from DataService if it is
# assigned to a public attribute
if not attr_name.startswith("_"):
warn_if_instance_class_does_not_inherit_from_DataService(attr_value)
def __set_attribute_based_on_type( # noqa:CFQ002
self,
target_obj: Any,
attr_name: str,
attr: Any,
value: Any,
index: Optional[int],
path_list: list[str],
) -> None:
if isinstance(attr, Enum):
update_value_if_changed(target_obj, attr_name, attr.__class__[value])
elif isinstance(attr, list) and index is not None:
update_value_if_changed(attr, index, value)
elif isinstance(attr, DataService) and isinstance(value, dict):
for key, v in value.items():
self.update_DataService_attribute([*path_list, attr_name], key, v)
elif callable(attr):
process_callable_attribute(attr, value["args"])
else:
update_value_if_changed(target_obj, attr_name, value)
def _rpyc_getattr(self, name: str) -> Any:
if name.startswith("_"):
# disallow special and private attributes
@@ -174,22 +199,10 @@ class DataService(rpyc.Service, AbstractDataService):
value, readonly status, and documentation if any in the resulting dictionary.
Attributes and methods starting with an underscore are ignored.
For attributes, methods, and properties unique to the class (not inherited from
the base class), the method uses the format "<prefix>.<key>" for keys in the
dictionary. If no prefix is provided, the key format is simply "<key>".
For nested DataService instances, the method serializes recursively and appends
the key of the nested instance to the prefix in the format "<prefix>.<key>".
For nested DataService instances, the method serializes recursively.
For attributes of type list, each item in the list is serialized individually.
If an item in the list is an instance of DataService, it is serialized
recursively with its key in the format "<prefix>.<key>.<item_id>", where
"item_id" is the id of the item itself.
Args:
prefix (str, optional): The prefix for each key in the serialized
dictionary. This is mainly used when this method is called recursively to
maintain the structure of nested instances.
recursively.
Returns:
dict: The serialized instance.
@@ -297,19 +310,13 @@ class DataService(rpyc.Service, AbstractDataService):
"readonly": True,
"value": running_task_info,
}
elif isinstance(getattr(self.__class__, key, None), property):
prop: property = getattr(self.__class__, key)
result[key] = {
"type": type(value).__name__,
"value": value
if not isinstance(value, u.Quantity)
else {"magnitude": value.m, "unit": str(value.u)},
"readonly": prop.fset is None,
"doc": get_attribute_doc(prop),
}
elif isinstance(value, Enum):
if type(value).__base__.__name__ == "ColouredEnum":
val_type = "ColouredEnum"
else:
val_type = "Enum"
result[key] = {
"type": "Enum",
"type": val_type,
"value": value.name,
"enum": {
name: member.value
@@ -328,6 +335,11 @@ class DataService(rpyc.Service, AbstractDataService):
"doc": get_attribute_doc(value),
}
if isinstance(getattr(self.__class__, key, None), property):
prop: property = getattr(self.__class__, key)
result[key]["readonly"] = prop.fset is None
result[key]["doc"] = get_attribute_doc(prop)
return result
def update_DataService_attribute(
@@ -338,24 +350,19 @@ class DataService(rpyc.Service, AbstractDataService):
) -> None:
# If attr_name corresponds to a list entry, extract the attr_name and the index
attr_name, index = parse_list_attr_and_index(attr_name)
# Traverse the object according to the path parts
target_obj = get_object_attr_from_path(self, path_list)
attr = get_object_attr_from_path(target_obj, [attr_name])
# If the attribute is a property, change it using the setter without getting the
# property value (would otherwise be bad for expensive getter methods)
if is_property_attribute(target_obj, attr_name):
setattr(target_obj, attr_name, value)
return
attr = get_object_attr_from_path(target_obj, [attr_name])
if attr is None:
return
# Set the attribute at the terminal point of the path
if isinstance(attr, Enum):
update_value_if_changed(target_obj, attr_name, attr.__class__[value])
elif isinstance(attr, list) and index is not None:
update_value_if_changed(attr, index, value)
elif isinstance(attr, DataService) and isinstance(value, dict):
for key, v in value.items():
self.update_DataService_attribute([*path_list, attr_name], key, v)
elif callable(attr):
return process_callable_attribute(attr, value["args"])
else:
update_value_if_changed(target_obj, attr_name, value)
self.__set_attribute_based_on_type(
target_obj, attr_name, attr, value, index, path_list
)

View File

@@ -97,6 +97,28 @@ class TaskManager:
@wraps(method)
def start_task(*args: Any, **kwargs: Any) -> None:
def task_done_callback(task: asyncio.Task, name: str) -> None:
"""Handles tasks that have finished.
Removes a task from the tasks dictionary, calls the defined
callbacks, and logs and re-raises exceptions."""
# removing the finished task from the tasks i
self.tasks.pop(name, None)
# emit the notification that the task was stopped
for callback in self.task_status_change_callbacks:
callback(name, None)
exception = task.exception()
if exception is not None:
# Handle the exception, or you can re-raise it.
logger.error(
f"Task '{name}' encountered an exception: "
f"{type(exception).__name__}: {exception}"
)
raise exception
async def task(*args: Any, **kwargs: Any) -> None:
try:
await method(*args, **kwargs)
@@ -126,11 +148,18 @@ class TaskManager:
**kwargs,
}
# creating the task and adding the task_done_callback which checks
# if an exception has occured during the task execution
task_object = self._loop.create_task(task(*args, **kwargs))
task_object.add_done_callback(
lambda task: task_done_callback(task, name)
)
# Store the task and its arguments in the '__tasks' dictionary. The
# key is the name of the method, and the value is a dictionary
# containing the task object and the updated keyword arguments.
self.tasks[name] = {
"task": self._loop.create_task(task(*args, **kwargs)),
"task": task_object,
"kwargs": kwargs_updated,
}
@@ -142,14 +171,10 @@ class TaskManager:
def stop_task() -> None:
# cancel the task
task = self.tasks.pop(name, None)
task = self.tasks.get(name, None)
if task is not None:
self._loop.call_soon_threadsafe(task["task"].cancel)
# emit the notification that the task was stopped
for callback in self.task_status_change_callbacks:
callback(name, None)
# create start and stop methods for each coroutine
setattr(self.service, f"start_{name}", start_task)
setattr(self.service, f"stop_{name}", stop_task)

View File

@@ -1,13 +1,13 @@
{
"files": {
"main.css": "/static/css/main.398bc7f8.css",
"main.js": "/static/js/main.b69b2bbf.js",
"main.js": "/static/js/main.553ca0c9.js",
"index.html": "/index.html",
"main.398bc7f8.css.map": "/static/css/main.398bc7f8.css.map",
"main.b69b2bbf.js.map": "/static/js/main.b69b2bbf.js.map"
"main.553ca0c9.js.map": "/static/js/main.553ca0c9.js.map"
},
"entrypoints": [
"static/css/main.398bc7f8.css",
"static/js/main.b69b2bbf.js"
"static/js/main.553ca0c9.js"
]
}

View File

@@ -1 +1 @@
<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="/favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1"/><meta name="theme-color" content="#000000"/><meta name="description" content="Web site displaying a pydase UI."/><link rel="apple-touch-icon" href="/logo192.png"/><link rel="manifest" href="/manifest.json"/><title>pydase App</title><script defer="defer" src="/static/js/main.b69b2bbf.js"></script><link href="/static/css/main.398bc7f8.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>
<!doctype html><html lang="en"><head><meta charset="utf-8"/><link rel="icon" href="/favicon.ico"/><meta name="viewport" content="width=device-width,initial-scale=1"/><meta name="theme-color" content="#000000"/><meta name="description" content="Web site displaying a pydase UI."/><link rel="apple-touch-icon" href="/logo192.png"/><link rel="manifest" href="/manifest.json"/><title>pydase App</title><script defer="defer" src="/static/js/main.553ca0c9.js"></script><link href="/static/css/main.398bc7f8.css" rel="stylesheet"></head><body><noscript>You need to enable JavaScript to run this app.</noscript><div id="root"></div></body></html>

File diff suppressed because one or more lines are too long

File diff suppressed because one or more lines are too long

View File

@@ -28,9 +28,8 @@ class AdditionalServerProtocol(Protocol):
This protocol sets the standard for how additional servers should be implemented
to ensure compatibility with the main Server class. The protocol requires that
any server implementing it should have an __init__ method for initialization, a
serve method for starting the server, and an install_signal_handlers method for
setting up signal handlers.
any server implementing it should have an __init__ method for initialization and a
serve method for starting the server.
Parameters:
-----------
@@ -62,12 +61,6 @@ class AdditionalServerProtocol(Protocol):
"""
...
def install_signal_handlers(self) -> None:
"""Sets up signal handlers for the server. This method is used to define how the
server should respond to various system signals, such as SIGINT and SIGTERM.
"""
...
class AdditionalServer(TypedDict):
"""
@@ -257,13 +250,6 @@ class Server:
info=self._info,
**server["kwargs"],
)
try:
addin_server.install_signal_handlers = lambda: None # type: ignore
except Exception:
logger.debug(
"Additional server does not have a method called "
"'install_signal_handlers'."
)
server_name = (
addin_server.__module__ + "." + addin_server.__class__.__name__

View File

@@ -8,7 +8,6 @@ from fastapi.staticfiles import StaticFiles
from loguru import logger
from pydase import DataService
from pydase.config import OperationMode
from pydase.version import __version__
@@ -115,14 +114,13 @@ class WebAPI:
def service_properties() -> dict[str, Any]:
return self.service.serialize()
if OperationMode().environment == "production":
app.mount(
"/",
StaticFiles(
directory=Path(__file__).parent.parent / "frontend",
html=True,
),
)
app.mount(
"/",
StaticFiles(
directory=Path(__file__).parent.parent / "frontend",
html=True,
),
)
self.__fastapi_app = app

View File

@@ -197,7 +197,7 @@ def extract_dict_or_list_entry(data: dict[str, Any], key: str) -> dict[str, Any]
# When the attribute is a class instance, the attributes are nested in the
# "value" key
if current_data["type"] not in STANDARD_TYPES:
current_data = cast(dict[str, Any], current_data.get("value", None))
current_data = cast(dict[str, Any], current_data.get("value", None)) # type: ignore
assert isinstance(current_data, dict)
return current_data
@@ -394,3 +394,7 @@ def get_component_class_names() -> list[str]:
import pydase.components
return pydase.components.__all__
def is_property_attribute(target_obj: Any, attr_name: str) -> bool:
return isinstance(getattr(type(target_obj), attr_name, None), property)

View File

@@ -0,0 +1,82 @@
import logging
import sys
from types import FrameType
from typing import Optional
import loguru
import rpyc
from uvicorn.config import LOGGING_CONFIG
import pydase.config
ALLOWED_LOG_LEVELS = ["DEBUG", "INFO", "ERROR"]
# from: https://github.com/Delgan/loguru section
# "Entirely compatible with standard logging"
class InterceptHandler(logging.Handler):
def emit(self, record: logging.LogRecord) -> None:
# Ignore "asyncio.CancelledError" raised by uvicorn
if record.name == "uvicorn.error" and "CancelledError" in record.msg:
return
# Get corresponding Loguru level if it exists.
level: int | str
try:
level = loguru.logger.level(record.levelname).name
except ValueError:
level = record.levelno
# Find caller from where originated the logged message.
frame: Optional[FrameType] = sys._getframe(6)
depth = 6
while frame and frame.f_code.co_filename == logging.__file__:
frame = frame.f_back
depth += 1
try:
msg = record.getMessage()
except TypeError:
# A `TypeError` is raised when the `msg` string expects more arguments
# than are provided by `args`. This can happen when intercepting log
# messages with a certain format, like
# > logger.debug("call: %s%r", method_name, *args) # in tiqi_rpc
# where `*args` unpacks a sequence of values that should replace
# placeholders in the string.
msg = record.msg % (record.args[0], record.args[2:]) # type: ignore
loguru.logger.opt(depth=depth, exception=record.exc_info).log(level, msg)
def setup_logging(level: Optional[str] = None) -> None:
loguru.logger.debug("Configuring service logging.")
if pydase.config.OperationMode().environment == "development":
log_level = "DEBUG"
else:
log_level = "INFO"
if level is not None and level in ALLOWED_LOG_LEVELS:
log_level = level
loguru.logger.remove()
loguru.logger.add(sys.stderr, level=log_level)
# set up the rpyc logger *before* adding the InterceptHandler to the logging module
rpyc.setup_logger(quiet=True) # type: ignore
logging.basicConfig(handlers=[InterceptHandler()], level=0)
logging.getLogger("asyncio").setLevel(logging.INFO)
logging.getLogger("urllib3").setLevel(logging.INFO)
# overwriting the uvicorn logging config to use the loguru intercept handler
LOGGING_CONFIG["handlers"] = {
"default": {
"()": InterceptHandler,
"formatter": "default",
},
"access": {
"()": InterceptHandler,
"formatter": "access",
},
}

View File

@@ -1,5 +1,7 @@
from loguru import logger
from pydase.utils.helpers import get_component_class_names
def warn_if_instance_class_does_not_inherit_from_DataService(__value: object) -> None:
base_class_name = __value.__class__.__base__.__name__
@@ -13,7 +15,8 @@ def warn_if_instance_class_does_not_inherit_from_DataService(__value: object) ->
"asyncio.unix_events",
"_abc",
]
and base_class_name not in ["DataService", "list", "Enum"]
and base_class_name
not in ["DataService", "list", "Enum"] + get_component_class_names()
and type(__value).__name__ not in ["CallbackManager", "TaskManager", "Quantity"]
):
logger.warning(

View File

@@ -1,2 +1,4 @@
__version__ = "0.1.0"
from importlib.metadata import distribution
__version__ = distribution("pydase").version
__major__, __minor__, __patch__ = [int(v) for v in __version__.split(".")]

View File

@@ -0,0 +1,51 @@
from pytest import CaptureFixture, LogCaptureFixture
from pydase.components.coloured_enum import ColouredEnum
from pydase.data_service.data_service import DataService
from .. import caplog # noqa
def test_ColouredEnum(capsys: CaptureFixture) -> None:
class MyStatus(ColouredEnum):
RUNNING = "#00FF00"
FAILING = "#FF0000"
class ServiceClass(DataService):
_status = MyStatus.RUNNING
@property
def status(self) -> MyStatus:
return self._status
@status.setter
def status(self, value: MyStatus) -> None:
# do something ...
self._status = value
service = ServiceClass()
service.status = MyStatus.FAILING
captured = capsys.readouterr()
expected_output = sorted(
[
"ServiceClass.status = MyStatus.FAILING",
]
)
actual_output = sorted(captured.out.strip().split("\n")) # type: ignore
assert actual_output == expected_output
def test_warning(caplog: LogCaptureFixture) -> None: # noqa
class MyStatus(ColouredEnum):
RUNNING = "#00FF00"
FAILING = "#FF0000"
class ServiceClass(DataService):
status = MyStatus.RUNNING
assert (
"Warning: Class MyStatus does not inherit from DataService." not in caplog.text
)

View File

@@ -0,0 +1,64 @@
from enum import Enum
import pydase
def test_enum_serialize() -> None:
class EnumClass(Enum):
FOO = "foo"
BAR = "bar"
class EnumAttribute(pydase.DataService):
def __init__(self) -> None:
self.some_enum = EnumClass.FOO
super().__init__()
class EnumPropertyWithoutSetter(pydase.DataService):
def __init__(self) -> None:
self._some_enum = EnumClass.FOO
super().__init__()
@property
def some_enum(self) -> EnumClass:
return self._some_enum
class EnumPropertyWithSetter(pydase.DataService):
def __init__(self) -> None:
self._some_enum = EnumClass.FOO
super().__init__()
@property
def some_enum(self) -> EnumClass:
return self._some_enum
@some_enum.setter
def some_enum(self, value: EnumClass) -> None:
self._some_enum = value
assert EnumAttribute().serialize() == {
"some_enum": {
"type": "Enum",
"value": "FOO",
"enum": {"FOO": "foo", "BAR": "bar"},
"readonly": False,
"doc": None,
}
}
assert EnumPropertyWithoutSetter().serialize() == {
"some_enum": {
"type": "Enum",
"value": "FOO",
"enum": {"FOO": "foo", "BAR": "bar"},
"readonly": True,
"doc": None,
}
}
assert EnumPropertyWithSetter().serialize() == {
"some_enum": {
"type": "Enum",
"value": "FOO",
"enum": {"FOO": "foo", "BAR": "bar"},
"readonly": False,
"doc": None,
}
}

0
tests/utils/__init__.py Normal file
View File

View File

@@ -0,0 +1,93 @@
import pytest
from pydase.utils.helpers import (
extract_dict_or_list_entry,
get_nested_value_from_DataService_by_path_and_key,
is_property_attribute,
)
# Sample data for the tests
data_sample = {
"attr1": {"type": "bool", "value": False, "readonly": False, "doc": None},
"class_attr": {
"type": "MyClass",
"value": {"sub_attr": {"type": "float", "value": 20.5}},
},
"list_attr": {
"type": "list",
"value": [
{"type": "int", "value": 0, "readonly": False, "doc": None},
{"type": "float", "value": 1.0, "readonly": False, "doc": None},
],
"readonly": False,
},
}
# Tests for extract_dict_or_list_entry
def test_extract_dict_with_valid_list_index() -> None:
result = extract_dict_or_list_entry(data_sample, "list_attr[1]")
assert result == {"type": "float", "value": 1.0, "readonly": False, "doc": None}
def test_extract_dict_without_list_index() -> None:
result = extract_dict_or_list_entry(data_sample, "attr1")
assert result == {"type": "bool", "value": False, "readonly": False, "doc": None}
def test_extract_dict_with_invalid_key() -> None:
result = extract_dict_or_list_entry(data_sample, "attr_not_exist")
assert result is None
def test_extract_dict_with_invalid_list_index() -> None:
result = extract_dict_or_list_entry(data_sample, "list_attr[5]")
assert result is None
# Tests for get_nested_value_from_DataService_by_path_and_key
def test_get_nested_value_with_default_key() -> None:
result = get_nested_value_from_DataService_by_path_and_key(
data_sample, "list_attr[0]"
)
assert result == 0
def test_get_nested_value_with_custom_key() -> None:
result = get_nested_value_from_DataService_by_path_and_key(
data_sample, "class_attr.sub_attr", "type"
)
assert result == "float"
def test_get_nested_value_with_invalid_path() -> None:
result = get_nested_value_from_DataService_by_path_and_key(
data_sample, "class_attr.nonexistent_attr"
)
assert result is None
@pytest.mark.parametrize(
"attr_name, expected",
[
("regular_attribute", False),
("my_property", True),
("my_method", False),
("non_existent_attr", False),
],
)
def test_is_property_attribute(attr_name: str, expected: bool) -> None:
# Test Suite
class DummyClass:
def __init__(self) -> None:
self.regular_attribute = "I'm just an attribute"
@property
def my_property(self) -> str:
return "I'm a property"
def my_method(self) -> str:
return "I'm a method"
dummy = DummyClass()
assert is_property_attribute(dummy, attr_name) == expected

View File

@@ -2,7 +2,7 @@ from pytest import LogCaptureFixture
from pydase import DataService
from . import caplog # noqa
from .. import caplog # noqa
def test_setattr_warnings(caplog: LogCaptureFixture) -> None: # noqa
@@ -32,3 +32,19 @@ def test_private_attribute_warning(caplog: LogCaptureFixture) -> None: # noqa
" Warning: You should not set private but rather protected attributes! Use "
"_something instead of __something." in caplog.text
)
def test_protected_attribute_warning(caplog: LogCaptureFixture) -> None: # noqa
class SubClass:
name = "Hello"
class ServiceClass(DataService):
def __init__(self) -> None:
self._subclass = SubClass
super().__init__()
ServiceClass()
assert (
"Warning: Class SubClass does not inherit from DataService." not in caplog.text
)