flowshop | Algorithms for flow-shop problem

by rtshadow Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions(2)Vulnerabilities Install Support

kandi X-RAY | flowshop Summary

flowshop is a Python library. flowshop has no bugs, it has no vulnerabilities and it has low support. However flowshop build file is not available. You can download it from GitHub.

Algorithms for flow-shop problem.

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Quality

Security

License

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Support

flowshop has a low active ecosystem.

It has 4 star(s) with 4 fork(s). There are 2 watchers for this library.

It had no major release in the last 6 months.

flowshop has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of flowshop is current.

Quality

flowshop has no bugs reported.

Security

flowshop has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

flowshop does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

flowshop releases are not available. You will need to build from source code and install.

flowshop has no build file. You will be need to create the build yourself to build the component from source.

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flowshop Key Features

No Key Features are available at this moment for flowshop.

flowshop Examples and Code Snippets

No Code Snippets are available at this moment for flowshop.

Community Discussions

Trending Discussions on flowshop

Pyomo scheduling

csv file convert to io.BytesIO object, then stream to blob storage ,meets value type error:a bytes-like object is required, not '_io.TextIOWrapper'

QUESTION

Pyomo scheduling

Asked 2018-Apr-03 at 06:54

I am trying to formulate a flowshop scheduling problem in Pyomo. This is an Abstract model

Problem description
There are 3 jobs (chest, door and chair) and 3 machines (cutting, welding, packing in that order). Objective is to minimise the makespan. The python code and the data are as follows.

...

ANSWER

Answered 2018-Apr-03 at 06:54

As the error says Cannot index unordered sets, the set flowshop.machines is not ordered. One needs to provide ordered=True argument in the while declaring the set -
flowshop.machines = Set(ordered=True)
After this, one can access any element by normal indexing - flowshop.machines[i]

For the binary variables, one can declare them as -

Source https://stackoverflow.com/questions/49505314

QUESTION

csv file convert to io.BytesIO object, then stream to blob storage ,meets value type error:a bytes-like object is required, not '_io.TextIOWrapper'

Asked 2018-Mar-28 at 22:15

I am trying to stream a csv to azure blob storage, the csv is generated directly from python scripts without local copy, i have the following code, df is the csv file:

...

ANSWER

Answered 2018-Mar-28 at 22:15

You opened df for write, then tried to pass the resulting file object as the initializer of io.BytesIO (which is supposed to to take actual binary data, e.g. b'1234'). That's the cause of the TypeError; open files (read or write, text or binary) are not bytes or anything similar (bytearray, array.array('B'), mmap.mmap, etc.), so passing them to io.BytesIO makes no sense.

It looks like your goal is to read from df, and you shouldn't need io.BytesIO at all for that. Just change the mode from (text) write, 'w', to binary read, 'rb'. Then pass the resulting file object to your API directly:

Source https://stackoverflow.com/questions/49544690

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install flowshop

You can download it from GitHub.
You can use flowshop 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 .

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