maestro-economics
CLI and SDK for the RA Data platform — datasets, compute, and experiments.
pip install maestro-economics
mecon --help
mecon resources
mecon submit . --resource cpu-4c-16gb
CPU runs support two modes:
# Lower-cost default; may restart, so long jobs must resume from durable progress.
mecon submit . --resource cpu-16c-32gb --mode standard
# Fewer infrastructure interruptions; CPU only, billed at the Stable rate.
mecon submit . --resource cpu-16c-64gb --mode stable
For CPU timeouts above four hours, save progress during the run, load it at startup, and confirm the contract at submission:
def run(ctx):
state = ctx.load_checkpoint() or {"step": 0}
for step in range(int(state["step"]), 100):
# compute one restart-safe unit
ctx.save_checkpoint(step=step + 1)
return {"completed_steps": 100}
mecon submit . --resource cpu-16c-32gb --timeout 21600 --durable-resume
ctx.output_dir is also durable. Stable CPU reduces interruptions but does not
replace checkpoint/resume logic for long jobs.
1 maintainer
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Filter files by name, interpreter, ABI, and platform.
If you're not sure about the file name format, learn more about wheel file names.
Copy a direct link to the current filters
File details
Details for the file maestro_economics-0.8.2.tar.gz.
File metadata
- Download URL: maestro_economics-0.8.2.tar.gz
- Upload date:
- Size: 40.4 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
48d7644502c6a0e57d243a2a19fc2d977f2ca1bc4818ccf5170efe31543c0e89
|
|
| MD5 |
75bf80de1c6d42d36167468393dfa1a0
|
|
| BLAKE2b-256 |
af692e22fd924aaeca535605a365cd194459f8846659a252b5d22672d9ac44cb
|
File details
Details for the file maestro_economics-0.8.2-py3-none-any.whl.
File metadata
- Download URL: maestro_economics-0.8.2-py3-none-any.whl
- Upload date:
- Size: 41.7 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via:
twine/6.2.0 CPython/3.11.14
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 |
9f73e247097765f7df0a617cef5ad22d5041cb253f430d48146bd81d3d583100
|
|
| MD5 |
067707958458c0fbc3cedc7616b2a384
|
|
| BLAKE2b-256 |
302554196132d1bbc6e460d4fc1480066ae5eebb47c17f23c189129415166b81
|
