Skip to main content

Morpho Design Explorer - GA Client

This is the GA Client Component of the Morpho Design Explorer Project. This client provides the GASearch class interface to connect to a MorphoDesignExplorer backend, load project schemas and existing generated models, and generate new children with custom fitness functions.

Sample usage is as follows:

# Import the search interface class
from morpho_ga import GASearch

# Define the server location URL and the project identifier for the project to operate on
SERVER_URL, project_id = "server_url_here", "project_id here"

# build the search interface and load generated models from SERVER_URL
search_object = GASearch(SERVER_URL, project_id)

# generate a child with the following fitness function: 2 <= step < 7
print(search_object.generate_child((Q.step >= 2) & (Q.step < 7)))

# get auth token from the server; will trigger a CLI prompt for a username, password and OTP
search_object.get_token()

# dump all generated models to the server in bulk
search_object.put_records()

The generate_child() method generates one child at a time. This offers great flexibility in generating a varying number of children with different fitness functions. An example is given below to demonstrate the same:

iterations = 0
unique = 0
while True:
    if unique == 10:
        break
    if unique < 5:
        # generate 5 children with random genes, from the pool with `step` > 0
        child = search_object.generate_child(Q.step > 0, parent_count=0)
    elif unique >= 5:
        # generate 5 more random chilren with genes crossed over from 2 parents, with 2 <= step < 7
        child = search_object.generate_child((Q.step >= 2) & (Q.step < 7), parent_count=0)
    if child is not None:
        # bump unique if child is not a duplicate
        unique += 1
    iterations += 1

search_object.put_records()

Todo

  • Don't upload the entire set of records on generation of each child; only upload new children.
  • Fetch username and password from a file and Fetch OTP from the CLI or through a CLI option.
  • Detect and report malformed Server URLs passed.

References

  1. Paragen System Reference: https://www.ingentaconnect.com/content/iass/jiass/2012/00000053/00000004/art00010

Release files for morpho-ga 1.0.0

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

Source distribution (sdist)

Source distribution for morpho-ga 1.0.0
File Size Uploaded
morpho_ga-1.0.0.tar.gz 5.9 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for morpho-ga 1.0.0
File Interpreter ABI Platform
morpho_ga-1.0.0-py3-none-any.whl Python 3 none any Details

Total release size: 12.7 kB

Release files / morpho_ga-1.0.0.tar.gz

Download URL morpho_ga-1.0.0.tar.gz
Size 5.9 kB
Tags Source
SHA-256 checksum
How to use checksums
16aab4048c3b6f96df7e390c0faf519e81e458e7e62b27f02a9b7f40f19db3c9
BLAKE2b-256 checksum
How to use checksums
cb1d740b5d1d66a49ffcf8111a50fa5c49724d72a892b315416cc526e90bd254
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.11.7

Release files / morpho_ga-1.0.0-py3-none-any.whl

Download URL morpho_ga-1.0.0-py3-none-any.whl
Size 6.8 kB
Tags Python 3
SHA-256 checksum
How to use checksums
d0aeba88824838c787117ae1c31b663528fd181c13daed3fe377f868b01d4f48
BLAKE2b-256 checksum
How to use checksums
6cd2352da27feacb593394fd23141648848ca8d2f09fff1b3f3070d61aefad35
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/5.0.0 CPython/3.11.7

Release history Release notifications | RSS feed

This release

1.0.0 This release

2 release files

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