willu47 / amply Goto Github PK

View Code? Open in Web Editor NEW

11.0 1.0 3.0 68 KB

A Python package for AMPL/GMPL datafile parsing

License: Eclipse Public License 1.0

Python 95.30% Shell 4.70%

gmpl ampl linear-programming coin-or

amply's People

Contributors

Stargazers

Watchers

Forkers

osemosys nattapruek trevorb1

amply's Issues

an issue installing amply in python 3.3

Hello again!

The Travis CI is giving an error on this specific python version for pulp. And from what I can see, it happens when installing amply. Can you see anything weird? (I have no idea what it means).

https://travis-ci.org/github/coin-or/pulp/jobs/700789057

For some reason it complains about a:

pkg_resources.DistributionNotFound: The 'setuptools-scm' distribution was not found and is required by the application

Amply doesn't allow alphanumerical element names

param default 1 : AvailabilityFactor :=
01_AUS POW_Other_Coal_PP 2017 0.0

results in a parsing error.

Amply doesn't allow numerical characters to start a symbol, and also does not allow underscores in names.

put amply in pypi

hey @willu47, did you manage to put amply in pypi so that we can add it as a dependency to pulp and close this issue? thanks!

Originally posted by @pchtsp in coin-or/pulp#246 (comment)

depends docutils >=0.3, however docutils only 0.18

I used python 3.9 , and I try to install the apmly 0.1.4.
But I got the error:

Would please help me find it out?

[Bug] Mixed inputformat error

Error in sys.excepthook:
Traceback (most recent call last):
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\otoole\cli.py", line 282, in exception_handler
    print("{}: {}".format(exception_type.__name__, exception.message))
AttributeError: 'AmplyError' object has no attribute 'message'

Original exception was:
Traceback (most recent call last):
  File "c:\nobackup\anaconda3\envs\snakemake\lib\runpy.py", line 193, in _run_module_as_main
    "__main__", mod_spec)
  File "c:\nobackup\anaconda3\envs\snakemake\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Nobackup\Anaconda3\envs\snakemake\Scripts\otoole.exe\__main__.py", line 7, in <module>
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\otoole\cli.py", line 287, in main
    args.func(args)
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\otoole\cli.py", line 112, in result_matrix
    input_data, _ = ReadDatafile().read(args.input_datafile)
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\otoole\read_strategies.py", line 212, in read
    amply_datafile = self.read_in_datafile(filepath, config)
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\otoole\read_strategies.py", line 229, in read_in_datafile
    datafile_parser.load_file(datafile)
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\amply\amply.py", line 817, in load_file
    self.load_string(f.read())
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\amply\amply.py", line 806, in load_string
    obj.eval(self)
  File "c:\nobackup\anaconda3\envs\snakemake\lib\site-packages\amply\amply.py", line 305, in eval
    self.name, self.tokens
amply.amply.AmplyError: Error in number of records of Peakdemand when reading ['param', 'Peakdemand', 'default', 1.0, [<SliceRecord: ('Kenya', '*', '*')>, <TabularRecord: {'TRLV_1_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.035503748, 2020.0: 0.073847796, 2021.0: 0.115202562, 2022.0: 0.159747552, 2023.0: 0.207671818, 2024.0: 0.259174428, 2025.0: 0.314464973, 2026.0: 0.373764082, 2027.0: 0.437303976, 2028.0: 0.437303976, 2029.0: 0.437303976, 2030.0: 0.437303976, 2031.0: 0.437303976, 2032.0: 0.437303976, 2033.0: 0.437303976, 2034.0: 0.437303976, 2035.0: 0.437303976, 2036.0: 0.437303976, 2037.0: 0.437303976, 2038.0: 0.437303976, 2039.0: 0.437303976, 2040.0: 0.437303976}, 'TRLV_2_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.031715426, 2020.0: 0.065968085, 2021.0: 0.102910213, 2022.0: 0.142702162, 2023.0: 0.18551281, 2024.0: 0.231519987, 2025.0: 0.280910918, 2026.0: 0.333882691, 2027.0: 0.390642748, 2028.0: 0.390642748, 2029.0: 0.390642748, 2030.0: 0.390642748, 2031.0: 0.390642748, 2032.0: 0.390642748, 2033.0: 0.390642748, 2034.0: 0.390642748, 2035.0: 0.390642748, 2036.0: 0.390642748, 2037.0: 0.390642748, 2038.0: 0.390642748, 2039.0: 0.390642748, 2040.0: 0.390642748}, 'TRLV_3_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.03760931, 2020.0: 0.078227364, 2021.0: 0.122034688, 2022.0: 0.169221434, 2023.0: 0.219987865, 2024.0: 0.274544855, 2025.0: 0.333114424, 2026.0: 0.395930287, 2027.0: 0.463238436, 2028.0: 0.463238436, 2029.0: 0.463238436, 2030.0: 0.463238436, 2031.0: 0.463238436, 2032.0: 0.463238436, 2033.0: 0.463238436, 2034.0: 0.463238436, 2035.0: 0.463238436, 2036.0: 0.463238436, 2037.0: 0.463238436, 2038.0: 0.463238436, 2039.0: 0.463238436, 2040.0: 0.463238436}, 'TRLV_4_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.052990896, 2020.0: 0.110221063, 2021.0: 0.171944858, 2022.0: 0.238430203, 2023.0: 0.309959264, 2024.0: 0.386829161, 2025.0: 0.469352715, 2026.0: 0.557859227, 2027.0: 0.652695296, 2028.0: 0.652695296, 2029.0: 0.652695296, 2030.0: 0.652695296, 2031.0: 0.652695296, 2032.0: 0.652695296, 2033.0: 0.652695296, 2034.0: 0.652695296, 2035.0: 0.652695296, 2036.0: 0.652695296, 2037.0: 0.652695296, 2038.0: 0.652695296, 2039.0: 0.652695296, 2040.0: 0.652695296}, 'TRLV_5_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.034974676, 2020.0: 0.072747325, 2021.0: 0.113485828, 2022.0: 0.157367014, 2023.0: 0.204577119, 2024.0: 0.255312244, 2025.0: 0.309778856, 2026.0: 0.368194298, 2027.0: 0.430787328, 2028.0: 0.430787328, 2029.0: 0.430787328, 2030.0: 0.430787328, 2031.0: 0.430787328, 2032.0: 0.430787328, 2033.0: 0.430787328, 2034.0: 0.430787328, 2035.0: 0.430787328, 2036.0: 0.430787328, 2037.0: 0.430787328, 2038.0: 0.430787328, 2039.0: 0.430787328, 2040.0: 0.430787328}, 'TRLV_6_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.037202401, 2020.0: 0.077380994, 2021.0: 0.12071435, 2022.0: 0.167390565, 2023.0: 0.217607735, 2024.0: 0.271574453, 2025.0: 0.329510336, 2026.0: 0.391646571, 2027.0: 0.458226488, 2028.0: 0.458226488, 2029.0: 0.458226488, 2030.0: 0.458226488, 2031.0: 0.458226488, 2032.0: 0.458226488, 2033.0: 0.458226488, 2034.0: 0.458226488, 2035.0: 0.458226488, 2036.0: 0.458226488, 2037.0: 0.458226488, 2038.0: 0.458226488, 2039.0: 0.458226488, 2040.0: 0.458226488}, 'TRLV_7_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.023055127, 2020.0: 0.047954664, 2021.0: 0.074809276, 2022.0: 0.103735529, 2023.0: 0.134856188, 2024.0: 0.168300522, 2025.0: 0.204204634, 2026.0: 0.242711793, 2027.0: 0.283972798, 2028.0: 0.283972798, 2029.0: 0.283972798, 2030.0: 0.283972798, 2031.0: 0.283972798, 2032.0: 0.283972798, 2033.0: 0.283972798, 2034.0: 0.283972798, 2035.0: 0.283972798, 2036.0: 0.283972798, 2037.0: 0.283972798, 2038.0: 0.283972798, 2039.0: 0.283972798, 2040.0: 0.283972798}, 'TRLV_8_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.029656132, 2020.0: 0.061684755, 2021.0: 0.096228218, 2022.0: 0.133436462, 2023.0: 0.1734674, 2024.0: 0.216487316, 2025.0: 0.262671276, 2026.0: 0.312203574, 2027.0: 0.365278182, 2028.0: 0.365278182, 2029.0: 0.365278182, 2030.0: 0.365278182, 2031.0: 0.365278182, 2032.0: 0.365278182, 2033.0: 0.365278182, 2034.0: 0.365278182, 2035.0: 0.365278182, 2036.0: 0.365278182, 2037.0: 0.365278182, 2038.0: 0.365278182, 2039.0: 0.365278182, 2040.0: 0.365278182}, 'TRLV_9_0': {2016.0: 0.0, 2017.0: 0.0, 2018.0: 0.0, 2019.0: 0.040579304, 2020.0: 0.084404952, 2021.0: 0.131671725, 2022.0: 0.182584792, 2023.0: 0.23736023, 2024.0: 0.296225567, 2025.0: 0.359420354, 2026.0: 0.427196764, 2027.0: 0.499820214, 2028.0: 0.499820214, 2029.0: 0.499820214, 2030.0: 0.499820214, 2031.0: 0.499820214, 2032.0: 0.499820214, 2033.0: 0.499820214, 2034.0: 0.499820214, 2035.0: 0.499820214, 2036.0: 0.499820214, 2037.0: 0.499820214, 2038.0: 0.499820214, 2039.0: 0.499820214, 2040.0: 0.499820214}}>]]

I have mixed input formats in my datafile for parameters. Some inputs are in matrix form and some are in "long" format.
I get the following Error message:
amply.amply.AmplyError: Error in number of records of Peakdemand
when reading the first parameter which is in matrix format.

make amply.AmplyError available in init file

Hello Will,

Could you make the AmplyError available outside of the package on top of offering the "Amply" object? I'm trying to take it out from pulp while keeping the tests to be sure everything is still possible.

Thanks!

Franco

x in <SET> in parameter definition not handled

In GNU MathProg files, legal syntax is to include enumeration over a set in a parameter definition subscript domain using x in set_name. For example:

            set REGION := Kenya;
            set TECHNOLOGY := TRLV_1_0;
            set YEAR := 2016 2017 2018 2019 2020;
            param Peakdemand {r in REGION, t in TECHNOLOGY, y in YEAR};

However, this currently raises an error in amply. Omitting the in statement works:

            set REGION := Kenya;
            set TECHNOLOGY := TRLV_1_0;
            set YEAR := 2016 2017 2018 2019 2020;
            param Peakdemand {REGION,TECHNOLOGY,YEAR};

Support symbolic parameters

Amply does not support symbolic parameters such as param month symbolic default ’May’ in {’Mar’, ’Apr’, ’May’}; or param resultpath symbolic default 'results' := 'results/path';

Recommend Projects

React

A declarative, efficient, and flexible JavaScript library for building user interfaces.
Vue.js

🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript

TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
TensorFlow

An Open Source Machine Learning Framework for Everyone
Django

The Web framework for perfectionists with deadlines.
Laravel

A PHP framework for web artisans
D3

Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

javascript

JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
web

Some thing interesting about web. New door for the world.
server

A server is a program made to process requests and deliver data to clients.
Machine learning

Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Visualization

Some thing interesting about visualization, use data art
Game

Some thing interesting about game, make everyone happy.

Recommend Org

Facebook

We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft

Open source projects and samples from Microsoft.
Google

Google ❤️ Open Source for everyone.
Alibaba

Alibaba Open Source for everyone
D3

Data-Driven Documents codes.
Tencent

China tencent open source team.