anima-py
anima 의 py CLI 를 pip 로 배포하는 채널 — hexa 툴체인 불필요. 엔진 측정/직렬화/코퍼스 경로가 numpy 하나만으로 돈다 (pi5 등 hexa-less 호스트용).
단일진입 보존(
a_cli_single_entry):anima-py콘솔 명령 =cli/anima.py:main디스패처의 pip 바인딩. hexa 채널anima(hx install anima) 와 동일 디스패처, 설치 채널만 2개 — 2nd entry 아님. 이름을anima-py로 둔 이유 = hexaanima와 PATH 충돌 회피.
설치
PyPI 발행 후 (권장):
pip install anima-python # base — numpy 만 (evaluate · corpus · chat-stub)
pip install "anima-python[train]" # +torch +datasets (serialize · train · sweep)
⏳ PyPI 발행 대기 중: 위 명령은
anima-py가 PyPI 에 발행된 뒤 동작한다. 발행은release.yml의pypi-publishjob(OIDC trusted-publishing)이v*태그에서 자동 수행하며, 오너의 1회 설정이 선결(① pypi.org 에 anima-python pending-publisher 등록: Owner=dancinlab·Repo=anima·Workflow=release.yml·Env=pypi ② repo 변수PYPI_PUBLISH=true). 그 전까지는 아래 소스 설치를 쓴다.
소스에서 바로 설치 (PyPI 없이 지금 가능):
pip install "git+https://github.com/dancinlab/anima.git" # base
pip install "anima-python[train] @ git+https://github.com/dancinlab/anima.git" # +torch
# 또는 레포 클론 후: pip install . / pip install ".[train]"
명령 매트릭스
| 동사 | 티어 | torch 없이 동작 | 비고 |
|---|---|---|---|
anima-py evaluate <clm> [--corpus …] [--gen N] |
base | ✅ numpy | py 2-production 측정 = ρ·AXON reach / 구 G0-G6. terminal-eligible (a_eval_py_canonical) |
anima-py corpus <derivtrace|flat> --out F … |
base | ✅ 순수 stdlib | 절차적 학습-코퍼스 생성 (data-format 레버) |
anima-py chat <clm> |
base | ✅ (stub) | 의식 A⇄G 루프는 hexa-native → hexa 진입 포인터 출력 |
anima-py serialize <pt> <clm> |
[train] |
❌ torch | .pt unpickle 에 torch 필요 (+ held-out DESCENT 게이트) |
anima-py sweep --arms … --objectives … |
[train] |
❌ | 셀마다 train.py spawn → torch 필요 |
anima-py train <args> |
[train] |
❌ torch+datasets | production Lane-P 학습 |
verdict 규율
anima-py evaluate <clm> = py 2-production numpy 측정 경로 — hexa det-eval 과 동일 frozen bars·byte-parity 라 terminal 자격 동일(a_eval_py_canonical, 2nd-class 미러 아님). 큰 ckpt(303M+)는 mini 금지 · pool(summer/aiden)에서 측정.
1 maintainer
Metadata
1 maintainer
Release files for anima-python 0.20.245
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| anima_python-0.20.245.tar.gz | 1.2 MB | Without provenance | Details for anima_python-0.20.245.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| anima_python-0.20.245-py3-none-any.whl | Python 3 | none | any | Details for anima_python-0.20.245-py3-none-any.whl |
Total release size: 2.4 MB
Release files / anima_python-0.20.245.tar.gz
| Download URL | anima_python-0.20.245.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
f7ac74bcd731a09040a10f8e506311c6e8f4331c6ac8e15906914b01d1b5a31d
|
|
BLAKE2b-256 checksum How to use checksums |
cc71efb573e5401a2051b747b8e495bc2a1f934d5373af986f923edd5439a845
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
Release files / anima_python-0.20.245-py3-none-any.whl
| Download URL | anima_python-0.20.245-py3-none-any.whl |
|---|---|
| Size | 1.2 MB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3ebcbb5e35b9ed60d5e3280827ad2c7bf228d7642cedc0aff7cb0566b406416e
|
|
BLAKE2b-256 checksum How to use checksums |
682b6aca41a1ca6b7a9fe54b10027e9fc44c16ae686baf2c72de6e0623fe5f8c
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/6.1.0 CPython/3.13.14
|
Security for anima-python 0.20.245
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
