Skip to main content

GAMSPy Base

GAMSPy Base is a subset of full GAMS installation which can be found at: https://gams.com/download/.

How to use it in other GAMS APIs

Control:

from gams import GamsWorkspace
from gamspy_base import directory
ws = GamsWorkspace(system_directory=directory)

Magic:

%reload_ext gams.magic
from gamspy_base import directory
gams.reset(directory)

GamsInteractive:

from gamspy_base import directory
from gams.magic import GamsInteractive
gams = GamsInteractive()
gams.reset(directory)

Transfer:

import gams.transfer as gt
from gamspy_base import directory
m = gt.Container(system_directory=directory)

Connect:

from gams.connect import ConnectDatabase
from gamspy_base import directory
cdb = ConnectDatabase(directory)

GDX Expert-Level:

import gams.core.gdx as gdx
from gamspy_base import directory
rc = gdx.gdxGetReadyD(directory, 255)

License Agreement

By downloading this software, you agree to the GAMS license agreement.

Metadata

Release files for gamspy-base 54.6.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Built distributions (wheels)

Table of built distributions (wheels) for gamspy-base 54.6.0
File
gamspy_base-54.6.0-py3-none-win_amd64.whl Python 3 none Windows x86-64 Details
gamspy_base-54.6.0-py3-none-manylinux_2_28_x86_64.whl Python 3 none Linux glibc 2.28+ x86-64 Details
gamspy_base-54.6.0-py3-none-manylinux_2_28_aarch64.whl Python 3 none Linux glibc 2.28+ ARM64 Details
gamspy_base-54.6.0-py3-none-macosx_13_0_x86_64.whl Python 3 none macOS 13.0+ x86-64 Details
gamspy_base-54.6.0-py3-none-macosx_13_0_arm64.whl Python 3 none macOS 13.0+ ARM64 Details

Total release size: 171.7 MB

Release files / gamspy_base-54.6.0-py3-none-win_amd64.whl

Download URL gamspy_base-54.6.0-py3-none-win_amd64.whl
Size 38.6 MB
Tags Python 3 Windows x86-64
SHA-256 checksum
How to use checksums
6a6129513ca579d654ee50a8ddddd83ac5d86f600965a73fd0f4e3b3310baf45
BLAKE2b-256 checksum
How to use checksums
e434721379a9dd3508164962706d5a131ba371302c32bd903174ac62f9ef646f
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Release files / gamspy_base-54.6.0-py3-none-manylinux_2_28_x86_64.whl

Download URL gamspy_base-54.6.0-py3-none-manylinux_2_28_x86_64.whl
Size 36.3 MB
Tags Linux glibc 2.28+ x86-64 Python 3
SHA-256 checksum
How to use checksums
fd48586de88fcb7fdb34d88977a10b59aede867afd2ce35b08c34db1a9e9159e
BLAKE2b-256 checksum
How to use checksums
69986187828a6678121e4efaa6645bbc2317ac8be892da149ee7b493c2a48480
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Release files / gamspy_base-54.6.0-py3-none-manylinux_2_28_aarch64.whl

Download URL gamspy_base-54.6.0-py3-none-manylinux_2_28_aarch64.whl
Size 31.8 MB
Tags Linux glibc 2.28+ ARM64 Python 3
SHA-256 checksum
How to use checksums
4b250dd7777212d25ad8b97d0bdffe9fbde7df3e6adb07940955a1f00e29f037
BLAKE2b-256 checksum
How to use checksums
5c664d6baebb63eef22ff91dff0e65ba0bbdfb8157bf5c405799a7573fceb0e0
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Release files / gamspy_base-54.6.0-py3-none-macosx_13_0_x86_64.whl

Download URL gamspy_base-54.6.0-py3-none-macosx_13_0_x86_64.whl
Size 36.2 MB
Tags Python 3 macOS 13.0+ x86-64
SHA-256 checksum
How to use checksums
a1a0aa316ff8a5c63e024ac802b6991fe9c5e53717116cb08862c1a015109f33
BLAKE2b-256 checksum
How to use checksums
b09cbc2e846a14c4735241a86a442c9b1e404df534e27c51b5944ea80747d2de
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15

Release files / gamspy_base-54.6.0-py3-none-macosx_13_0_arm64.whl

Download URL gamspy_base-54.6.0-py3-none-macosx_13_0_arm64.whl
Size 28.8 MB
Tags Python 3 macOS 13.0+ ARM64
SHA-256 checksum
How to use checksums
bdb13465ae8e9e528ca0d66eb853f67d5ff37885f14f88957a61dc3b7c30fd4b
BLAKE2b-256 checksum
How to use checksums
ea1966f0c92c560d48e2976fa27064e3c2bac89a5c082876c31ab7ad7c2ada76
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/7.0.0 CPython/3.12.15
Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page