codecraftai-analysis-statistical
Patterns for authoring and porting statistical analysis jobs to Python whose results are directly comparable to the equivalent SAS jobs. Built around a reference SAS DATA-step execution model (the correctness oracle), an IR front end for inspectable user logic, a hybrid columnar / sequential executor for speed, and database source readers that follow the SAS/ACCESS-engine pattern.
Public namespace: ccai.analysis.statistical.
Documentation
Quick example
from ccai.analysis.statistical import (ObservationEngine, SetReader)
sales = [{"region": "East", "customer": "A", "amount": 10},
{"region": "East", "customer": "A", "amount": 15},
{"region": "East", "customer": "B", "amount": 7}]
def accumulate(pdv):
if pdv.first["customer"] is True:
pdv["total"] = 0
pdv["total"] = pdv["total"] + pdv["amount"]
if pdv.last["customer"] is True:
pdv.output()
return
rows = list(ObservationEngine(
reader=SetReader(source=sales, by=["region", "customer"]),
logic=accumulate, by=["region", "customer"],
retain={"total": 0}))Tests
This package uses testbase exclusively. After rehome-repository and setup-environment complete:
source .venv/bin/activate
testbase testing run --root source/testroots/ccai \
--includes=ccai.tests.singlehost --output=./.output
1 maintainer
Metadata
1 maintainer
Release files for codecraftai-analysis-statistical 1.2.0
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 | |
|---|---|---|---|---|
| codecraftai_analysis_statistical-1.2.0.tar.gz | 48.1 kB | With provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| codecraftai_analysis_statistical-1.2.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 134.6 kB
Release files / codecraftai_analysis_statistical-1.2.0.tar.gz
| Download URL | codecraftai_analysis_statistical-1.2.0.tar.gz |
|---|---|
| Size | 48.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
49c3e8f8f3cd26f90989b630efc15e3453750609313ba267f8154039aefa0795
|
|
BLAKE2b-256 checksum How to use checksums |
e368fee6bf95170a2d67d5d239c888675c4e6ad7a1f5593a3d630c56eb8eaf7f
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.
Transparency logRelease files / codecraftai_analysis_statistical-1.2.0-py3-none-any.whl
| Download URL | codecraftai_analysis_statistical-1.2.0-py3-none-any.whl |
|---|---|
| Size | 86.5 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
8e7ea6b4a98d095a26f6ad80ca66ef8dba46c56dc1a97805ec5ace41e1869396
|
|
BLAKE2b-256 checksum How to use checksums |
986e5db6c7ccfc55f3dd49dd32b1ccebef24cbb418a343df3c55a4ce24641161
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
Yes |
| Uploaded via |
twine/7.0.0 CPython/3.13.14
|
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.
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.
Transparency logSecurity for codecraftai-analysis-statistical 1.2.0
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.
Full provenance
All 2 files in this release have been uploaded with provenance metadata.
Attestation for codecraftai_analysis_statistical-1.2.0.tar.gz
PyPI Publish Attestation
PyPI verified that this artifact, at this checksum, originated from the publisher listed below.
Signed by GitHub Actions, verified by PyPI on Oct 19, 2026.
Transparency logA 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.
