chore(repo): initialize reproducible research workspace

2026-09-20 05:17:11 +12:00
commit 1e7cc2a71b
36 changed files with 9169 additions and 0 deletions
@@ -0,0 +1,48 @@
+# 研究环境使用说明
+
+## 激活
+
+在项目根目录的 PowerShell 中运行：
+
+```powershell
+. .\research\environment\activate-research.ps1
+```
+
+该脚本会激活 `.venv-research`，设置项目内 R、R library、CUDA 13.4，并把 uv、renv、PyTensor、Numba、Matplotlib、Skrub、Hugging Face 与 Torch 缓存定向到项目目录。
+
+## 验收
+
+```powershell
+python .\research\environment\smoke_test.py
+Rscript .\research\environment\r-smoke-test.R
+cmd.exe /d /c .\research\environment\cuda-smoke-build.cmd
+```
+
+期望结果：Python JSON 中所有 imports/tests 为 `passed`；R JSON 中所有 imports/tests 为 `passed` 且 mirt `converged=true`；CUDA 输出 `cuda_smoke_result=42`。
+
+## Python 恢复
+
+Python 版本固定为 3.12 系列，完整包版本见 `python-requirements.lock.txt`。Torch 使用 PyTorch 官方 CUDA 13.0 索引：
+
+```powershell
+uv python install 3.12 --install-dir .python --no-registry --no-bin --cache-dir .uv-cache
+uv venv .venv-research --python .python\cpython-3.12.14-windows-x86_64-none\python.exe --seed --no-project --cache-dir .uv-cache
+uv pip install --python .venv-research\Scripts\python.exe --requirements research\environment\python-requirements.lock.txt --index https://download.pytorch.org/whl/cu130 --index-strategy unsafe-best-match --cache-dir .uv-cache
+```
+
+若 3.12 补丁版本更新，第二条命令应使用实际安装目录，不要硬编码旧补丁版本。
+
+## R 恢复
+
+R 版本为 4.6.1。顶层包安装入口为 `install-r-packages.R`；完整依赖恢复使用 `renv.lock`。先激活环境，再运行：
+
+```powershell
+Rscript -e "renv::restore(lockfile='research/environment/renv.lock', library='.r-library/4.6', prompt=FALSE)"
+```
+
+## 约束
+
+- 正式分析只使用上述项目环境；不要把系统 Python 3.13 的包状态当作项目依赖。
+- `smoke-test-result.json` 的短链 PyMC 采样只用于环境验收。
+- `cuda-smoke.exe` 是可重建产物；源码和构建脚本才是复现入口。
+- 嵌入模型权重尚未冻结，下载前仍须执行模型许可与版本审计。
@@ -0,0 +1,25 @@
+$ProjectRoot = (Resolve-Path (Join-Path $PSScriptRoot "..\..")).Path
+$CacheRoot = Join-Path $ProjectRoot ".cache"
+
+$env:LOCALAPPDATA = Join-Path $CacheRoot "localappdata"
+$env:MPLCONFIGDIR = Join-Path $CacheRoot "matplotlib"
+$env:NUMBA_CACHE_DIR = Join-Path $CacheRoot "numba"
+$env:SKB_DATA_DIRECTORY = Join-Path $CacheRoot "skrub"
+$env:HF_HOME = Join-Path $CacheRoot "huggingface"
+$env:TORCH_HOME = Join-Path $CacheRoot "torch"
+$env:XDG_CACHE_HOME = $CacheRoot
+$env:UV_CACHE_DIR = Join-Path $ProjectRoot ".uv-cache"
+$env:RENV_PATHS_ROOT = Join-Path $CacheRoot "renv"
+$env:PYTENSOR_FLAGS = "base_compiledir=$(Join-Path $CacheRoot 'pytensor')"
+
+$env:R_HOME = Join-Path $ProjectRoot ".tools\R-4.6.1"
+$env:R_LIBS_USER = Join-Path $ProjectRoot ".r-library\4.6"
+$env:CUDA_PATH = "C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4"
+$env:Path = "$(Join-Path $env:R_HOME 'bin');$(Join-Path $env:CUDA_PATH 'bin');$env:Path"
+
+# Windows R uses UCRT/UTF-8 and does not recognize the POSIX locale name C.UTF-8.
+Remove-Item Env:LANG -ErrorAction SilentlyContinue
+Remove-Item Env:LC_ALL -ErrorAction SilentlyContinue
+Remove-Item Env:LC_CTYPE -ErrorAction SilentlyContinue
+
+& (Join-Path $ProjectRoot ".venv-research\Scripts\Activate.ps1")
@@ -0,0 +1,9 @@
+@echo off
+call "C:\Program Files\Microsoft Visual Studio\2022\Community\VC\Auxiliary\Build\vcvars64.bat" >nul
+if errorlevel 1 exit /b %errorlevel%
+
+"C:\Program Files\NVIDIA GPU Computing Toolkit\CUDA\v13.4\bin\nvcc.exe" -arch=sm_120 -Xcompiler=/wd4819 "E:\Model\research\environment\cuda-smoke.cu" -o "E:\Model\research\environment\cuda-smoke.exe"
+if errorlevel 1 exit /b %errorlevel%
+
+"E:\Model\research\environment\cuda-smoke.exe"
+exit /b %errorlevel%
@@ -0,0 +1,34 @@
+#include <cuda_runtime.h>
+
+#include <cstdio>
+
+__global__ void increment(int* value) {
+    *value += 1;
+}
+
+int main() {
+    int host_value = 41;
+    int* device_value = nullptr;
+
+    if (cudaMalloc(&device_value, sizeof(int)) != cudaSuccess) {
+        return 1;
+    }
+    if (cudaMemcpy(device_value, &host_value, sizeof(int), cudaMemcpyHostToDevice) != cudaSuccess) {
+        cudaFree(device_value);
+        return 2;
+    }
+
+    increment<<<1, 1>>>(device_value);
+    if (cudaDeviceSynchronize() != cudaSuccess) {
+        cudaFree(device_value);
+        return 3;
+    }
+    if (cudaMemcpy(&host_value, device_value, sizeof(int), cudaMemcpyDeviceToHost) != cudaSuccess) {
+        cudaFree(device_value);
+        return 4;
+    }
+
+    cudaFree(device_value);
+    std::printf("cuda_smoke_result=%d\n", host_value);
+    return host_value == 42 ? 0 : 5;
+}
@@ -0,0 +1,48 @@
+command_args <- commandArgs(trailingOnly = FALSE)
+script_path <- sub("^--file=", "", grep("^--file=", command_args, value = TRUE)[1])
+script_dir <- dirname(normalizePath(script_path, winslash = "/"))
+project_root <- normalizePath(file.path(script_dir, "..", ".."), winslash = "/")
+library_path <- file.path(project_root, ".r-library", "4.6")
+dir.create(library_path, recursive = TRUE, showWarnings = FALSE)
+.libPaths(c(library_path, .libPaths()))
+
+required_packages <- c(
+  "survey", "srvyr",
+  "mirt",
+  "lavaan", "semTools", "psych",
+  "data.table", "jsonlite", "arrow", "haven", "readr",
+  "dplyr", "tidyr", "purrr", "stringr",
+  "digest", "renv", "targets", "withr"
+)
+
+installed <- rownames(installed.packages(lib.loc = .libPaths()))
+missing <- setdiff(required_packages, installed)
+
+if (length(missing) > 0L) {
+  install.packages(
+    missing,
+    lib = library_path,
+    repos = c(CRAN = "https://cloud.r-project.org"),
+    dependencies = c("Depends", "Imports", "LinkingTo"),
+    type = "binary",
+    Ncpus = max(1L, parallel::detectCores(logical = TRUE) - 2L)
+  )
+}
+
+installed_after <- rownames(installed.packages(lib.loc = .libPaths()))
+still_missing <- setdiff(required_packages, installed_after)
+if (length(still_missing) > 0L) {
+  stop("Missing R packages after installation: ", paste(still_missing, collapse = ", "))
+}
+
+versions <- vapply(
+  required_packages,
+  function(package) as.character(packageVersion(package, lib.loc = library_path)),
+  character(1)
+)
+writeLines(
+  jsonlite::toJSON(as.list(versions), pretty = TRUE, auto_unbox = TRUE),
+  file.path(script_dir, "r-package-versions.json"),
+  useBytes = TRUE
+)
+cat("Installed and verified", length(required_packages), "required R packages.\n")
@@ -0,0 +1,40 @@
+# Core data and statistical stack
+numpy
+scipy
+pandas
+polars
+pyarrow
+duckdb
+openpyxl
+networkx
+scikit-learn==1.6.1
+statsmodels
+patsy
+pyreadstat
+
+# Bayesian modeling and diagnostics
+pymc[nutpie]
+numpyro
+blackjax
+bambi
+
+# Psychometrics and measurement modeling
+semopy
+factor-analyzer
+pingouin
+girth
+
+# Reproducible analysis and visualization
+matplotlib
+seaborn
+plotly
+jupyterlab
+ipykernel
+
+# NLP, embeddings, and tabular baselines
+torch==2.14.0
+torchvision==0.29.0
+transformers
+sentence-transformers
+xgboost
+tabpfn
@@ -0,0 +1,195 @@
+absl-py==2.5.0
+annotated-doc==0.0.5
+annotated-types==0.8.0
+anyio==4.15.1
+argon2-cffi==25.1.0
+argon2-cffi-bindings==26.1.0
+arro3-core==0.8.3
+arrow==1.4.0
+arviz==1.3.0
+arviz-base==1.3.0
+arviz-plots==1.3.1
+arviz-stats==1.3.2
+asttokens==3.0.2
+async-lru==2.3.0
+attrs==26.1.0
+babel==2.18.0
+bambi==0.21.0
+beautifulsoup4==4.15.0
+blackjax==1.6.2
+bleach==6.4.0
+cachetools==6.2.6
+certifi==2026.7.22
+cffi==2.1.1
+charset-normalizer==3.5.1
+click==8.5.0
+cloudpickle==3.1.2
+colorama==0.4.6
+comm==0.2.3
+contourpy==1.4.0
+cycler==0.12.1
+debugpy==1.8.22
+defusedxml==0.7.1
+donfig==0.8.1.post1
+duckdb==1.5.5
+einops==0.8.2
+et-xmlfile==2.0.0
+executing==2.2.1
+factor-analyzer==0.5.1
+fastjsonschema==2.22.2
+filelock==4.0.1
+fonttools==4.65.0
+formulae==0.6.2
+formulaic==1.2.2
+fqdn==1.5.1
+fsspec==2026.9.0
+girth==0.8.0
+google-crc32c==1.8.0
+graphviz==0.21
+h11==0.16.0
+hf-xet==1.6.0
+httpcore==1.0.9
+httpx==0.28.1
+huggingface-hub==1.32.0
+idna==3.20
+interface-meta==2.0.1
+ipykernel==7.3.0
+ipython==9.17.1
+ipython-pygments-lexers==1.1.1
+isoduration==20.11.0
+jax==0.11.2
+jaxlib==0.11.2
+jedi==0.20.0
+jinja2==3.1.6
+joblib==1.6.0
+json5==0.15.0
+jsonpointer==3.1.1
+jsonschema==4.26.0
+jsonschema-specifications==2025.9.1
+jupyter-builder==1.2.3
+jupyter-client==8.10.0
+jupyter-core==5.9.1
+jupyter-events==0.12.1
+jupyter-lsp==2.3.1
+jupyter-server==2.21.1
+jupyter-server-terminals==0.5.4
+jupyterlab==4.6.3
+jupyterlab-pygments==0.3.0
+jupyterlab-server==2.28.1
+kiwisolver==1.5.1
+lark==1.3.1
+lazy-loader==0.5
+lightgbm==4.7.0
+llvmlite==0.49.0
+markdown-it-py==4.2.0
+markupsafe==3.0.3
+matplotlib==3.11.2
+matplotlib-inline==0.2.2
+mdurl==0.1.2
+mistune==3.3.4
+ml-dtypes==0.6.0
+mpmath==1.3.0
+msgspec==0.21.1
+multipledispatch==1.0.0
+narwhals==2.26.0
+nbclient==0.11.0
+nbconvert==7.17.1
+nbformat==5.11.1
+nest-asyncio2==1.7.2
+networkx==3.6.1
+notebook-shim==0.2.4
+numba==0.67.0
+numcodecs==0.17.0
+numdifftools==0.11.1
+numpy==2.5.3
+numpyro==0.22.0
+nutpie==0.16.11
+obstore==0.11.1
+openpyxl==3.1.5
+opt-einsum==3.4.0
+optax==0.2.8
+packaging==26.3
+pandas==3.0.6
+pandas-flavor==0.8.1
+pandocfilters==1.5.1
+parso==0.8.7
+patsy==1.0.3
+pillow==12.3.0
+pingouin==0.6.1
+pip==26.2.1
+platformdirs==4.11.11
+plotly==7.1.0
+polars==1.44.2
+polars-runtime-32==1.44.2
+prometheus-client==0.26.0
+prompt-toolkit==3.0.53
+psutil==7.2.2
+pure-eval==0.2.4
+pyarrow==25.0.1
+pycparser==3.0
+pydantic==2.13.5
+pydantic-core==2.46.5
+pydantic-settings==2.15.0
+pydot==4.0.1
+pygments==2.21.0
+pymc==6.3.2
+pyparsing==3.3.2
+pyreadstat==1.3.6
+pytensor==3.3.2
+python-dateutil==2.9.0.post0
+python-dotenv==1.2.3
+python-json-logger==4.2.0
+pywinpty==3.0.5
+pyyaml==6.0.3
+pyzmq==27.2.0
+referencing==0.37.0
+regex==2026.9.10
+requests==2.34.2
+rfc3339-validator==0.1.4
+rfc3986-validator==0.1.1
+rfc3987-syntax==1.1.0
+rich==15.0.0
+rpds-py==2026.6.3
+safetensors==0.8.0
+scikit-learn==1.6.1
+scipy==1.18.1
+seaborn==0.13.2
+semopy==2.3.11
+send2trash==2.1.0
+sentence-transformers==6.1.0
+setuptools==84.0.0
+shellingham==1.5.4
+six==1.17.0
+skrub==0.10.1
+soupsieve==2.9.2
+sparse==0.17.0
+stack-data==0.6.3
+statsmodels==0.15.0
+sympy==1.14.0
+tabpfn==9.0.0
+tabulate==0.10.0
+terminado==0.18.1
+threadpoolctl==3.7.0
+tinycss2==1.5.1
+tokenizers==0.23.2
+torch==2.14.0+cu130
+torchvision==0.29.0+cu130
+tornado==6.5.10
+tqdm==4.70.1
+traitlets==5.16.1
+transformers==5.17.0
+typer==0.27.2
+typing-extensions==4.16.0
+typing-inspection==0.4.4
+tzdata==2026.4
+uri-template==1.3.0
+urllib3==2.8.0
+wcwidth==0.8.4
+webcolors==25.10.0
+webencodings==0.6.1
+websocket-client==1.9.2
+wrapt==2.4.1
+xarray==2026.7.0
+xarray-einstats==0.11.0
+xgboost==3.4.1
+zarr==3.4.0
@@ -0,0 +1,135 @@
+"Package","Version","LibPath","Priority","Built"
+"arrow","25.0.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 03:03:57 UTC; windows"
+"assertthat","0.2.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:04 UTC; windows"
+"audio","0.1-12","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-08-19 11:48:59 UTC; windows"
+"backports","1.5.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-08-19 11:46:10 UTC; windows"
+"base64url","1.4","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:57:33 UTC; windows"
+"beepr","2.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:57:28 UTC; windows"
+"bit","4.6.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:04 UTC; windows"
+"bit64","4.8.6","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 01:55:57 UTC; windows"
+"brio","1.1.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:04 UTC; windows"
+"callr","3.8.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:20:58 UTC; windows"
+"cli","3.6.6","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:02 UTC; windows"
+"clipr","0.8.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:13 UTC; windows"
+"cpp11","0.5.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:02 UTC; windows"
+"crayon","1.5.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:16 UTC; windows"
+"data.table","1.18.6.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:07 UTC; windows"
+"DBI","1.3.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:06 UTC; windows"
+"dcurver","0.9.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-02 02:55:45 UTC; windows"
+"Deriv","4.3.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-03 23:51:16 UTC; windows"
+"desc","1.4.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:55:57 UTC; windows"
+"diffobj","0.3.9","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-15 21:05:06 UTC; windows"
+"digest","0.6.39","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:04 UTC; windows"
+"dplyr","1.2.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-02 04:00:08 UTC; windows"
+"e1071","1.7-17","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-02 02:33:28 UTC; windows"
+"evaluate","1.0.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:28 UTC; windows"
+"forcats","1.0.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 03:20:06 UTC; windows"
+"fs","2.1.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:04 UTC; windows"
+"future","1.75.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:55:59 UTC; windows"
+"future.apply","1.20.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:21:02 UTC; windows"
+"generics","0.1.4","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:01 UTC; windows"
+"globals","0.19.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-08-19 12:58:27 UTC; windows"
+"glue","1.8.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:02 UTC; windows"
+"GPArotation","2026.8-2","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-08-22 23:07:47 UTC; windows"
+"gridExtra","2.3.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:40:22 UTC; windows"
+"gtable","0.3.6","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:20:45 UTC; windows"
+"haven","2.5.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 04:12:04 UTC; windows"
+"highr","0.12","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:55:56 UTC; windows"
+"hms","1.1.4","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:20:54 UTC; windows"
+"igraph","2.3.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 02:21:13 UTC; windows"
+"jsonlite","2.0.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:04 UTC; windows"
+"knitr","1.52","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:20:57 UTC; windows"
+"lavaan","0.7-2","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:57:27 UTC; windows"
+"lifecycle","1.0.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:55:53 UTC; windows"
+"listenv","1.0.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:41 UTC; windows"
+"magrittr","2.0.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:02 UTC; windows"
+"minqa","1.2.8","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 01:55:53 UTC; windows"
+"mirt","1.47","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 03:40:33 UTC; windows"
+"mitools","2.7","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:55:02 UTC; windows"
+"mnormt","2.1.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-08-19 11:46:51 UTC; windows"
+"numDeriv","2016.8-1.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-08-19 11:46:08 UTC; windows"
+"otel","0.2.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:04 UTC; windows"
+"parallelly","1.48.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:41 UTC; windows"
+"pbapply","1.7-5","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:39 UTC; windows"
+"pbivnorm","0.6.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-08-19 11:47:43 UTC; windows"
+"permute","0.9-10","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:41 UTC; windows"
+"pillar","1.11.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:40:23 UTC; windows"
+"pkgbuild","1.4.8","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:40:26 UTC; windows"
+"pkgconfig","2.0.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:02 UTC; windows"
+"pkgload","1.5.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 03:03:44 UTC; windows"
+"praise","1.0.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:38 UTC; windows"
+"prettyunits","1.2.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:20 UTC; windows"
+"processx","3.9.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 01:55:58 UTC; windows"
+"progress","1.2.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:40:25 UTC; windows"
+"progressr","1.0.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:41 UTC; windows"
+"proxy","0.4-29","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:04 UTC; windows"
+"ps","1.9.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:50 UTC; windows"
+"psych","2.6.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:56:45 UTC; windows"
+"purrr","1.2.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-02 03:15:05 UTC; windows"
+"qs2","0.3.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 02:22:01 UTC; windows"
+"quadprog","1.5-8","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-08-19 11:46:37 UTC; windows"
+"R.methodsS3","1.8.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-08-19 11:46:20 UTC; windows"
+"R.oo","1.27.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-08-19 12:58:27 UTC; windows"
+"R.utils","2.13.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:55:10 UTC; windows"
+"R6","2.6.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:01 UTC; windows"
+"Rcpp","1.1.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:07 UTC; windows"
+"RcppArmadillo","15.6.0-1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 01:55:59 UTC; windows"
+"RcppParallel","6.2.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:53 UTC; windows"
+"readr","2.2.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 03:39:20 UTC; windows"
+"renv","1.2.4","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:56:08 UTC; windows"
+"rlang","1.3.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:04 UTC; windows"
+"rprojroot","2.1.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:04 UTC; windows"
+"secretbase","1.3.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-08-19 12:17:50 UTC; windows"
+"semTools","0.5-9","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:01:34 UTC; windows"
+"sessioninfo","1.2.4","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:55:58 UTC; windows"
+"SimDesign","2.27","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 03:23:09 UTC; windows"
+"splines2","0.5.4","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 01:58:08 UTC; windows"
+"srvyr","1.3.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 03:43:24 UTC; windows"
+"stringfish","0.19.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 01:56:23 UTC; windows"
+"stringi","1.8.9","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-08-19 11:46:22 UTC; windows"
+"stringr","1.6.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:40:23 UTC; windows"
+"survey","4.5","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 02:21:06 UTC; windows"
+"targets","1.12.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 03:05:11 UTC; windows"
+"testthat","3.3.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 03:20:10 UTC; windows"
+"tibble","3.3.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 03:03:39 UTC; windows"
+"tidyr","1.3.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 03:39:19 UTC; windows"
+"tidyselect","1.2.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 02:40:22 UTC; windows"
+"tzdb","0.5.0","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:18 UTC; windows"
+"utf8","1.2.6","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:02 UTC; windows"
+"vctrs","0.7.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-02 02:52:27 UTC; windows"
+"vegan","2.7-6","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 02:40:30 UTC; windows"
+"vroom","1.7.1","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 03:20:06 UTC; windows"
+"waldo","0.6.2","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 01:55:56 UTC; windows"
+"withr","3.0.3","E:/Model/.r-library/4.6",NA,"R 4.6.1; ; 2026-09-09 00:54:02 UTC; windows"
+"xfun","0.60","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:30 UTC; windows"
+"yaml","2.3.12","E:/Model/.r-library/4.6",NA,"R 4.6.1; x86_64-w64-mingw32; 2026-09-09 00:54:31 UTC; windows"
+"base","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; ; 2026-06-24 08:20:51 UTC; windows"
+"boot","1.3-32","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; ; 2026-06-24 08:32:04 UTC; windows"
+"class","7.3-23","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:33:04 UTC; windows"
+"cluster","2.1.8.2","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:32:11 UTC; windows"
+"codetools","0.2-20","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; ; 2026-06-24 08:32:25 UTC; windows"
+"compiler","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; ; 2026-06-24 08:14:21 UTC; windows"
+"datasets","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; ; 2026-06-24 08:19:02 UTC; windows"
+"foreign","0.8-91","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:32:28 UTC; windows"
+"graphics","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:16:56 UTC; windows"
+"grDevices","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:16:14 UTC; windows"
+"grid","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:19:46 UTC; windows"
+"KernSmooth","2.23-26","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:32:40 UTC; windows"
+"lattice","0.22-9","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:23:40 UTC; windows"
+"MASS","7.3-65","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:23:25 UTC; windows"
+"Matrix","1.7-5","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:23:58 UTC; windows"
+"methods","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:19:12 UTC; windows"
+"mgcv","1.9-4","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:33:21 UTC; windows"
+"nlme","3.1-169","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:30:23 UTC; windows"
+"nnet","7.3-20","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:33:09 UTC; windows"
+"parallel","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:20:30 UTC; windows"
+"rpart","4.1.27","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:32:48 UTC; windows"
+"spatial","7.3-18","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:33:14 UTC; windows"
+"splines","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:20:12 UTC; windows"
+"stats","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:17:23 UTC; windows"
+"stats4","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; ; 2026-06-24 08:20:17 UTC; windows"
+"survival","3.8-6","E:/Model/.tools/R-4.6.1/library","recommended","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:30:55 UTC; windows"
+"tcltk","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:20:20 UTC; windows"
+"tools","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:14:19 UTC; windows"
+"translations","4.6.1","E:/Model/.tools/R-4.6.1/library",NA,"R 4.6.1; ; 2026-06-24 08:20:37 UTC; windows"
+"utils","4.6.1","E:/Model/.tools/R-4.6.1/library","base","R 4.6.1; x86_64-w64-mingw32; 2026-06-24 08:15:23 UTC; windows"
@@ -0,0 +1,21 @@
+{
+  "survey": "4.5",
+  "srvyr": "1.3.1",
+  "mirt": "1.47",
+  "lavaan": "0.7.2",
+  "semTools": "0.5.9",
+  "psych": "2.6.5",
+  "data.table": "1.18.6.1",
+  "jsonlite": "2.0.0",
+  "arrow": "25.0.1",
+  "haven": "2.5.5",
+  "readr": "2.2.0",
+  "dplyr": "1.2.1",
+  "tidyr": "1.3.2",
+  "purrr": "1.2.2",
+  "stringr": "1.6.0",
+  "digest": "0.6.39",
+  "renv": "1.2.4",
+  "targets": "1.12.0",
+  "withr": "3.0.3"
+}
@@ -0,0 +1,22 @@
+R version 4.6.1 (2026-06-24 ucrt)
+Platform: x86_64-w64-mingw32/x64
+Running under: Windows 11 x64 (build 26100)
+
+Matrix products: default
+  LAPACK version 3.12.1
+
+locale:
+[1] LC_COLLATE=Chinese (Simplified)_China.utf8 
+[2] LC_CTYPE=Chinese (Simplified)_China.utf8   
+[3] LC_MONETARY=Chinese (Simplified)_China.utf8
+[4] LC_NUMERIC=C                               
+[5] LC_TIME=Chinese (Simplified)_China.utf8    
+
+time zone: Pacific/Auckland
+tzcode source: internal
+
+attached base packages:
+[1] stats     graphics  grDevices utils     datasets  methods   base     
+
+loaded via a namespace (and not attached):
+[1] compiler_4.6.1 tools_4.6.1    renv_1.2.4    
@@ -0,0 +1,112 @@
+{
+  "r_version": "R version 4.6.1 (2026-06-24 ucrt)",
+  "library_path": "E:/Model/.r-library/4.6",
+  "imports": {
+    "survey": {
+      "status": "passed",
+      "version": "4.5"
+    },
+    "srvyr": {
+      "status": "passed",
+      "version": "1.3.1"
+    },
+    "mirt": {
+      "status": "passed",
+      "version": "1.47"
+    },
+    "lavaan": {
+      "status": "passed",
+      "version": "0.7.2"
+    },
+    "semTools": {
+      "status": "passed",
+      "version": "0.5.9"
+    },
+    "psych": {
+      "status": "passed",
+      "version": "2.6.5"
+    },
+    "data.table": {
+      "status": "passed",
+      "version": "1.18.6.1"
+    },
+    "jsonlite": {
+      "status": "passed",
+      "version": "2.0.0"
+    },
+    "arrow": {
+      "status": "passed",
+      "version": "25.0.1"
+    },
+    "haven": {
+      "status": "passed",
+      "version": "2.5.5"
+    },
+    "readr": {
+      "status": "passed",
+      "version": "2.2.0"
+    },
+    "dplyr": {
+      "status": "passed",
+      "version": "1.2.1"
+    },
+    "tidyr": {
+      "status": "passed",
+      "version": "1.3.2"
+    },
+    "purrr": {
+      "status": "passed",
+      "version": "1.2.2"
+    },
+    "stringr": {
+      "status": "passed",
+      "version": "1.6.0"
+    },
+    "digest": {
+      "status": "passed",
+      "version": "0.6.39"
+    },
+    "renv": {
+      "status": "passed",
+      "version": "1.2.4"
+    },
+    "targets": {
+      "status": "passed",
+      "version": "1.12.0"
+    },
+    "withr": {
+      "status": "passed",
+      "version": "3.0.3"
+    }
+  },
+  "tests": {
+    "survey_weighted_mean": {
+      "status": "passed",
+      "detail": {
+        "estimate": 3.6667,
+        "finite": true
+      }
+    },
+    "lavaan_cfa": {
+      "status": "passed",
+      "detail": {
+        "converged": true
+      }
+    },
+    "mirt_2pl": {
+      "status": "passed",
+      "detail": {
+        "converged": true,
+        "items": 8,
+        "respondents": 500
+      }
+    },
+    "arrow_parquet": {
+      "status": "passed",
+      "detail": {
+        "rows": 3,
+        "columns": 2
+      }
+    }
+  }
+}
@@ -0,0 +1,113 @@
+command_args <- commandArgs(trailingOnly = FALSE)
+script_path <- sub("^--file=", "", grep("^--file=", command_args, value = TRUE)[1])
+script_dir <- dirname(normalizePath(script_path, winslash = "/"))
+project_root <- normalizePath(file.path(script_dir, "..", ".."), winslash = "/")
+library_path <- file.path(project_root, ".r-library", "4.6")
+.libPaths(c(library_path, .libPaths()))
+
+results <- list(
+  r_version = R.version.string,
+  library_path = library_path,
+  imports = list(),
+  tests = list()
+)
+
+packages <- c(
+  "survey", "srvyr", "mirt", "lavaan", "semTools", "psych",
+  "data.table", "jsonlite", "arrow", "haven", "readr", "dplyr",
+  "tidyr", "purrr", "stringr", "digest", "renv", "targets", "withr"
+)
+
+for (package in packages) {
+  status <- tryCatch({
+    loadNamespace(package)
+    list(status = "passed", version = as.character(packageVersion(package)))
+  }, error = function(error) {
+    list(status = "failed", detail = conditionMessage(error))
+  })
+  results$imports[[package]] <- status
+}
+
+run_test <- function(name, expression) {
+  results$tests[[name]] <<- tryCatch({
+    detail <- force(expression)
+    list(status = "passed", detail = detail)
+  }, error = function(error) {
+    list(status = "failed", detail = conditionMessage(error))
+  })
+}
+
+run_test("survey_weighted_mean", {
+  frame <- data.frame(
+    value = c(1, 2, 3, 4, 5, 6),
+    strata = c(1, 1, 1, 2, 2, 2),
+    psu = c(1, 2, 3, 4, 5, 6),
+    weight = c(1, 2, 1, 2, 1, 2)
+  )
+  design <- survey::svydesign(~psu, strata = ~strata, weights = ~weight, data = frame)
+  estimate <- unname(coef(survey::svymean(~value, design))[[1]])
+  list(estimate = estimate, finite = is.finite(estimate))
+})
+
+run_test("lavaan_cfa", {
+  set.seed(20260920)
+  latent <- rnorm(180)
+  frame <- data.frame(
+    x1 = 0.8 * latent + rnorm(180, sd = 0.4),
+    x2 = 0.7 * latent + rnorm(180, sd = 0.5),
+    x3 = 0.9 * latent + rnorm(180, sd = 0.3)
+  )
+  fit <- lavaan::cfa("factor =~ x1 + x2 + x3", data = frame)
+  list(converged = lavaan::lavInspect(fit, "converged"))
+})
+
+run_test("mirt_2pl", {
+  set.seed(20260920)
+  sample_size <- 500
+  item_count <- 8
+  theta <- rnorm(sample_size)
+  discrimination <- seq(0.8, 1.5, length.out = item_count)
+  difficulty <- seq(-1.2, 1.2, length.out = item_count)
+  probabilities <- vapply(
+    seq_len(item_count),
+    function(index) plogis(discrimination[index] * (theta - difficulty[index])),
+    numeric(sample_size)
+  )
+  responses <- matrix(
+    rbinom(length(probabilities), 1, as.vector(probabilities)),
+    nrow = sample_size,
+    ncol = item_count
+  )
+  colnames(responses) <- paste0("item", seq_len(ncol(responses)))
+  fit <- mirt::mirt(
+    responses,
+    1,
+    itemtype = "2PL",
+    verbose = FALSE,
+    technical = list(NCYCLES = 1000)
+  )
+  converged <- isTRUE(fit@OptimInfo$converged)
+  if (!converged) stop("mirt 2PL fit did not converge")
+  list(converged = converged, items = ncol(responses), respondents = nrow(responses))
+})
+
+run_test("arrow_parquet", {
+  cache_dir <- file.path(project_root, ".cache", "r-smoke")
+  dir.create(cache_dir, recursive = TRUE, showWarnings = FALSE)
+  path <- file.path(cache_dir, "arrow-smoke.parquet")
+  arrow::write_parquet(data.frame(id = 1:3, value = c("a", "b", "c")), path)
+  restored <- arrow::read_parquet(path)
+  list(rows = nrow(restored), columns = ncol(restored))
+})
+
+output_path <- file.path(script_dir, "r-smoke-test-result.json")
+writeLines(
+  jsonlite::toJSON(results, pretty = TRUE, auto_unbox = TRUE, null = "null"),
+  output_path,
+  useBytes = TRUE
+)
+cat(readLines(output_path, warn = FALSE), sep = "\n")
+
+failed_imports <- names(Filter(function(item) item$status != "passed", results$imports))
+failed_tests <- names(Filter(function(item) item$status != "passed", results$tests))
+quit(status = if (length(failed_imports) || length(failed_tests)) 1L else 0L)
@@ -0,0 +1,140 @@
+{
+  "python": "3.12.14 (main, Aug 14 2026, 15:40:22) [MSC v.1944 64 bit (AMD64)]",
+  "imports": {
+    "numpy": {
+      "status": "passed",
+      "version": "2.5.3"
+    },
+    "scipy": {
+      "status": "passed",
+      "version": "1.18.1"
+    },
+    "pandas": {
+      "status": "passed",
+      "version": "3.0.6"
+    },
+    "polars": {
+      "status": "passed",
+      "version": "1.44.2"
+    },
+    "pyarrow": {
+      "status": "passed",
+      "version": "25.0.1"
+    },
+    "duckdb": {
+      "status": "passed",
+      "version": "1.5.5"
+    },
+    "statsmodels": {
+      "status": "passed",
+      "version": "0.15.0"
+    },
+    "pymc": {
+      "status": "passed",
+      "version": "6.3.2"
+    },
+    "pytensor": {
+      "status": "passed",
+      "version": "3.3.2"
+    },
+    "arviz": {
+      "status": "passed",
+      "version": "1.3.0"
+    },
+    "nutpie": {
+      "status": "passed",
+      "version": "0.16.11"
+    },
+    "jax": {
+      "status": "passed",
+      "version": "0.11.2"
+    },
+    "numpyro": {
+      "status": "passed",
+      "version": "0.22.0"
+    },
+    "blackjax": {
+      "status": "passed",
+      "version": "1.6.2"
+    },
+    "bambi": {
+      "status": "passed",
+      "version": "0.21.0"
+    },
+    "semopy": {
+      "status": "passed",
+      "version": "2.3.11"
+    },
+    "factor_analyzer": {
+      "status": "passed",
+      "version": "unknown"
+    },
+    "pingouin": {
+      "status": "passed",
+      "version": "0.6.1"
+    },
+    "girth": {
+      "status": "passed",
+      "version": "unknown"
+    },
+    "torch": {
+      "status": "passed",
+      "version": "2.14.0+cu130"
+    },
+    "torchvision": {
+      "status": "passed",
+      "version": "0.29.0+cu130"
+    },
+    "transformers": {
+      "status": "passed",
+      "version": "5.17.0"
+    },
+    "sentence_transformers": {
+      "status": "passed",
+      "version": "6.1.0"
+    },
+    "xgboost": {
+      "status": "passed",
+      "version": "3.4.1"
+    },
+    "tabpfn": {
+      "status": "passed",
+      "version": "9.0.0"
+    }
+  },
+  "tests": {
+    "pymc_sampling": {
+      "status": "passed",
+      "detail": {
+        "posterior_mean": 0.15326990867173734,
+        "draws": 50,
+        "chains": 1
+      }
+    },
+    "semopy_cfa": {
+      "status": "passed",
+      "detail": {
+        "success": true,
+        "objective": 8.346892954591567e-08
+      }
+    },
+    "factor_analyzer": {
+      "status": "passed",
+      "detail": {
+        "loading_shape": [
+          4,
+          1
+        ]
+      }
+    },
+    "torch_cuda": {
+      "status": "passed",
+      "detail": {
+        "torch": "2.14.0+cu130",
+        "cuda_runtime": "13.0",
+        "device": "NVIDIA GeForce RTX 5060 Ti",
+        "finite": true
+      }
+    }
+  }
+}
@@ -0,0 +1,145 @@
+import importlib
+import json
+import os
+from pathlib import Path
+import sys
+import traceback
+
+
+PROJECT_ROOT = Path(__file__).resolve().parents[2]
+CACHE_ROOT = PROJECT_ROOT / ".cache"
+cache_settings = {
+    "LOCALAPPDATA": CACHE_ROOT / "localappdata",
+    "MPLCONFIGDIR": CACHE_ROOT / "matplotlib",
+    "NUMBA_CACHE_DIR": CACHE_ROOT / "numba",
+    "SKB_DATA_DIRECTORY": CACHE_ROOT / "skrub",
+    "HF_HOME": CACHE_ROOT / "huggingface",
+    "TORCH_HOME": CACHE_ROOT / "torch",
+    "XDG_CACHE_HOME": CACHE_ROOT,
+}
+for key, path in cache_settings.items():
+    path.mkdir(parents=True, exist_ok=True)
+    os.environ[key] = str(path)
+os.environ["PYTENSOR_FLAGS"] = f"base_compiledir={CACHE_ROOT / 'pytensor'}"
+
+import numpy as np
+
+
+results = {"python": sys.version, "imports": {}, "tests": {}}
+
+
+def record(name, fn):
+    try:
+        value = fn()
+        results["tests"][name] = {"status": "passed", "detail": value}
+    except Exception as exc:
+        results["tests"][name] = {
+            "status": "failed",
+            "detail": f"{type(exc).__name__}: {exc}",
+            "traceback": traceback.format_exc(),
+        }
+
+
+for module_name in [
+    "numpy", "scipy", "pandas", "polars", "pyarrow", "duckdb",
+    "statsmodels", "pymc", "pytensor", "arviz", "nutpie",
+    "jax", "numpyro", "blackjax", "bambi", "semopy",
+    "factor_analyzer", "pingouin", "girth", "torch", "torchvision",
+    "transformers", "sentence_transformers", "xgboost",
+    "tabpfn",
+]:
+    try:
+        module = importlib.import_module(module_name)
+        results["imports"][module_name] = {
+            "status": "passed",
+            "version": getattr(module, "__version__", "unknown"),
+        }
+    except Exception as exc:
+        results["imports"][module_name] = {
+            "status": "failed",
+            "detail": f"{type(exc).__name__}: {exc}",
+        }
+
+
+def pymc_test():
+    import pymc as pm
+
+    rng = np.random.default_rng(20260920)
+    observed = rng.normal(0.35, 1.0, size=40)
+    with pm.Model():
+        mu = pm.Normal("mu", 0.0, 1.0)
+        pm.Normal("y", mu, 1.0, observed=observed)
+        inference = pm.sample(
+            draws=50,
+            tune=50,
+            chains=1,
+            cores=1,
+            random_seed=20260920,
+            progressbar=False,
+            compute_convergence_checks=False,
+        )
+    posterior_mean = float(inference.posterior["mu"].mean())
+    return {"posterior_mean": posterior_mean, "draws": 50, "chains": 1}
+
+
+def sem_test():
+    import pandas as pd
+    import semopy
+
+    rng = np.random.default_rng(20260920)
+    latent = rng.normal(size=160)
+    frame = pd.DataFrame(
+        {
+            "x1": 0.8 * latent + rng.normal(scale=0.4, size=160),
+            "x2": 0.7 * latent + rng.normal(scale=0.5, size=160),
+            "x3": 0.9 * latent + rng.normal(scale=0.3, size=160),
+        }
+    )
+    model = semopy.Model("factor =~ x1 + x2 + x3")
+    fit = model.fit(frame)
+    return {"success": bool(fit.success), "objective": float(fit.fun)}
+
+
+def factor_test():
+    from factor_analyzer import FactorAnalyzer
+
+    rng = np.random.default_rng(20260920)
+    latent = rng.normal(size=(180, 1))
+    data = latent @ np.array([[0.8, 0.7, 0.9, 0.6]]) + rng.normal(
+        scale=0.45, size=(180, 4)
+    )
+    fitted = FactorAnalyzer(n_factors=1, rotation=None).fit(data)
+    return {"loading_shape": list(fitted.loadings_.shape)}
+
+
+def torch_test():
+    import torch
+
+    if not torch.cuda.is_available():
+        raise RuntimeError("torch.cuda.is_available() is false")
+    left = torch.randn((256, 256), device="cuda")
+    right = torch.randn((256, 256), device="cuda")
+    result = left @ right
+    torch.cuda.synchronize()
+    return {
+        "torch": torch.__version__,
+        "cuda_runtime": torch.version.cuda,
+        "device": torch.cuda.get_device_name(0),
+        "finite": bool(torch.isfinite(result).all().item()),
+    }
+
+
+record("pymc_sampling", pymc_test)
+record("semopy_cfa", sem_test)
+record("factor_analyzer", factor_test)
+record("torch_cuda", torch_test)
+
+serialized = json.dumps(results, ensure_ascii=False, indent=2)
+(Path(__file__).parent / "smoke-test-result.json").write_text(
+    serialized, encoding="utf-8"
+)
+print(serialized)
+
+failed_imports = [k for k, v in results["imports"].items() if v["status"] != "passed"]
+failed_tests = [k for k, v in results["tests"].items() if v["status"] != "passed"]
+raise SystemExit(1 if failed_imports or failed_tests else 0)