xworkflows | Python `` state machine '' module | Machine Learning library
kandi X-RAY | xworkflows Summary
kandi X-RAY | xworkflows Summary
xworkflows is a Python library typically used in Artificial Intelligence, Machine Learning applications. xworkflows has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install xworkflows' or download it from GitHub, PyPI.
Python "state machine" module
Python "state machine" module
Support
Quality
Security
License
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Support
xworkflows has a low active ecosystem.
It has 187 star(s) with 25 fork(s). There are 20 watchers for this library.
It had no major release in the last 12 months.
There are 8 open issues and 3 have been closed. On average issues are closed in 341 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of xworkflows is 1.1.0
Quality
xworkflows has 0 bugs and 0 code smells.
Security
xworkflows has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
xworkflows code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
xworkflows is licensed under the BSD-2-Clause License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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xworkflows releases are not available. You will need to build from source code and install.
Deployable package is available in PyPI.
Build file is available. You can build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed xworkflows and discovered the below as its top functions. This is intended to give you an instant insight into xworkflows implemented functionality, and help decide if they suit your requirements.
- Setup transition list .
- Collect dependencies .
- Adds transitions to a workflow .
- Returns True if the hook applies to the given state .
- Log a transition .
- Create a new WorkflowMeta class .
- Create a StateList from a workflow definitions .
- Make the xworkflows_hook hook .
- Calls the transition .
- Decorator for a transition function .
Get all kandi verified functions for this library.
xworkflows Key Features
No Key Features are available at this moment for xworkflows.
xworkflows Examples and Code Snippets
No Code Snippets are available at this moment for xworkflows.
Community Discussions
Trending Discussions on xworkflows
QUESTION
TypeError: __init__() got an unexpected keyword argument 'customer
Asked 2017-Aug-22 at 13:50
class RequestProcess(dxmodels.WorkflowEnabled):
def __init__(self):
lang = self.customer.user.customerprofile.language
@xworkflows.on_enter_state('documents')
def on_documents(self, *args, **kwargs):
self.update_timestamps()
ctx = {'request': self}
EmailFromTemplate('request-required-documents', extra_context=ctx, lang=lang)\
.send_to(self.customer.user)
@xworkflows.on_enter_state('validation')
def on_validation(self, *args, **kwargs):
self.update_timestamps()
validate_requirements_for_request(self)
@xworkflows.on_enter_state('signature')
def on_signature(self, *args, **kwargs):
self.customer_product.lock()
self.contract = create_contract(self)
self.update_timestamps()
ctx = {'request': self}
EmailFromTemplate('product-request-accepted', extra_context=ctx, lang=lang)\
.send_to(self.customer.user)
class Meta:
abstract = True
...ANSWER
Answered 2017-Aug-22 at 13:50The problem is you have replaced the model's __init__
method with one that does not accept any arguments:
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install xworkflows
You can install using 'pip install xworkflows' or download it from GitHub, PyPI.
You can use xworkflows like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use xworkflows like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
Find more information at:
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