diff --git a/scripts/README.md b/scripts/README.md new file mode 100644 index 0000000000000000000000000000000000000000..1454ae9457ea358f2125b5e573d7923bd4776582 --- /dev/null +++ b/scripts/README.md @@ -0,0 +1,67 @@ +# Exp/data/scripts/ — 仿真数据处理脚本 + +## 目录结构 + +``` +scripts/ +├── 核心流水线 +│ ├── gen_init_conditions.py ← LHS 采样生成初始条件（3 case × N trajectories） +│ ├── postprocess_to_hdf5.py ← OpenFOAM 场文件 → HDF5（U, p_rgh, alpha.water） +│ └── run_robust.sh ← 批量运行 210 cases（3 类型 × 70），并行+FPE 处理 +│ +├── 运行组件 +│ ├── run_case.sh ← 单案例运行（blockMesh → decomposePar → interFoam） +│ ├── run_parallel.sh ← 并行运行器（job slot 管理） +│ └── run_remaining_final.sh ← 恢复中断的批量运行 +│ +├── 验证 & 检查 +│ ├── validate_init.sh ← 验证所有初始条件（alpha 非零、尺寸正确） +│ ├── check_ic.py ← 详细检查 alpha.water（位置、形状、范围） +│ ├── inspect_h5.py ← 检查 HDF5 数据（shape, dtype, min/max） +│ └── master_test_run.sh ← 集成测试：3 案例端到端（gen → mesh → solve → post） +│ +├── 可视化 +│ ├── visualize_6cases.py ← 直接读 OpenFOAM 场文件可视化（支持 ASCII + binary） +│ └── test_run_6cases.sh ← 集成测试：6 案例运行 + 可视化 +│ +├── 工具 +│ ├── foam_env.sh ← OpenFOAM 环境变量（source 使用） +│ ├── cleanup.sh ← 清理临时文件 +│ ├── convert_to_ascii.sh ← OpenFOAM binary → ASCII 格式转换 +│ └── detached_train.py ← 后台启动训练（DETACHED_PROCESS） +│ +└── data_trans/ + └── openfoam_dataload.py ← Dataset/DataLoader（OpenFOAM → tensor，NN 训练用） +``` + +## 典型工作流 + +```bash +# 1. 生成初始条件 +python3 gen_init_conditions.py --templates Exp/data/templates --output Exp/data/raw --num-trajs 70 + +# 2. 验证初始条件 +bash validate_init.sh Exp/data/raw + +# 3. 批量运行（远程 WSL） +bash run_robust.sh + +# 4. 恢复未完成的案例 +bash run_remaining_final.sh Exp/data/raw + +# 5. 后处理 → HDF5 +python3 postprocess_to_hdf5.py --input Exp/data/raw --output Exp/data/processed + +# 6. 检查 HDF5 +python3 inspect_h5.py Exp/data/processed/dam_break_t00.h5 + +# 7. 可视化 +python3 visualize_6cases.py Exp/data/raw +``` + +## 约定 + +- 所有路径基于 `Exp/data/` 根目录 +- 远程 WSL 路径：`/mnt/f/agent-workspace/paper2/Exp/data/` +- 本地路径：`X:\0Agents-workspace\scholarship\paper2\Exp\data\` +- 可视化输出统一存放在 `Exp/data/visualizations/` diff --git a/scripts/batch_nohup.log b/scripts/batch_nohup.log new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/scripts/batch_run.sh b/scripts/batch_run.sh new file mode 100644 index 0000000000000000000000000000000000000000..39ba1e4b873c3b8eabe19652432e99c21fb23c3c --- /dev/null +++ b/scripts/batch_run.sh @@ -0,0 +1,330 @@ +#!/bin/bash +# ============================================================ +# batch_run.sh — 批量运行所有 OpenFOAM interFoam case +# +# 功能: +# 遍历指定 case 类型和轨迹索引，执行完整仿真流程: +# blockMesh → [setFields] → decomposePar → mpirun interFoam → reconstructPar +# +# 用法: +# bash batch_run.sh [选项] +# bash batch_run.sh --case-types dam_break rising_bubble --start 0 --end 9 +# bash batch_run.sh --ncpu 8 --skip-existing --clean-processors +# nohup bash batch_run.sh > batch_run.log 2>&1 & +# +# 注意: +# - 运行环境: Ubuntu WSL + OpenFOAM v1906 (apt 包安装) +# - 不使用 Allrun 脚本（RunFunctions 在 apt 包中不存在），直接调用各命令 +# - stokes_wave 需额外执行 setFields（blockMesh 后、decomposePar 前） +# ============================================================ + +set -o pipefail +echo "[DEBUG] batch_run.sh started, args: $@" >&2 + +# ---- 默认参数 ---- +DATA_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw" +CASE_TYPES="dam_break rising_bubble droplet_impact stokes_wave" +START_IDX=0 +END_IDX=69 +NCPU=16 +SKIP_EXISTING=false +CLEAN_PROCESSORS=false + +# ---- 解析命令行参数 ---- +usage() { + cat <<'USAGE' +用法: bash batch_run.sh [选项] + +选项: + --data-dir DIR 基础数据目录 + (默认: /mnt/f/agent-workspace/paper2/Exp/data/raw) + --case-types TYPE... 空格分隔的 case 类型 + (默认: dam_break rising_bubble droplet_impact stokes_wave) + --start N 起始轨迹索引 (默认: 0) + --end N 结束轨迹索引 (默认: 69) + --ncpu N decomposePar/interFoam 并行进程数 (默认: 16) + --skip-existing 跳过 log.interFoam 含 "End" 的已完成 case + --clean-processors reconstructPar 后删除 processor* 目录 + -h, --help 显示此帮助 + +示例: + # 全量运行 + bash batch_run.sh + + # 仅运行前 10 个 dam_break 和 rising_bubble + bash batch_run.sh --case-types dam_break rising_bubble --end 9 + + # 后台运行，跳过已完成 + nohup bash batch_run.sh --skip-existing --clean-processors > batch_run.log 2>&1 & +USAGE + exit 0 +} + +while [ $# -gt 0 ]; do + case "$1" in + --data-dir) DATA_DIR="$2"; shift 2 ;; + --case-types) + shift + CASE_TYPES="" + while [ $# -gt 0 ] && [[ ! "$1" =~ ^-- ]]; do + CASE_TYPES="${CASE_TYPES:+$CASE_TYPES }$1" + shift + done + ;; + --start) START_IDX="$2"; shift 2 ;; + --end) END_IDX="$2"; shift 2 ;; + --ncpu) NCPU="$2"; shift 2 ;; + --skip-existing) SKIP_EXISTING=true; shift ;; + --clean-processors) CLEAN_PROCESSORS=true; shift ;; + -h|--help) usage ;; + *) + echo "[ERROR] 未知参数: $1" >&2 + usage + ;; + esac +done + +echo "[DEBUG] 参数解析完成: CASE_TYPES=$CASE_TYPES START=$START_IDX END=$END_IDX" >&2 + +# ---- OpenFOAM 环境 ---- +# 优先使用官方 bashrc（apt 包安装路径），失败则回退到手动设置 +if [ -f /usr/share/openfoam/etc/bashrc ]; then + source /usr/share/openfoam/etc/bashrc 2>/dev/null +fi +echo "[DEBUG] OpenFOAM bashrc 已加载" >&2 + +# 兜底: 手动设置关键路径（apt 包安装可能不设置所有变量） +export WM_PROJECT_DIR="${WM_PROJECT_DIR:-/usr/share/openfoam}" +export FOAM_APPBIN="${FOAM_APPBIN:-/usr/bin}" +export FOAM_LIBBIN="${FOAM_LIBBIN:-/usr/lib/openfoam}" +export FOAM_ETC="${FOAM_ETC:-/usr/share/openfoam/etc}" +export FOAM_SRC="${FOAM_SRC:-/usr/share/openfoam/src}" +export FOAM_APP="${FOAM_APP:-/usr/share/openfoam/applications}" +export PATH="${FOAM_APPBIN}:${PATH}" +export LD_LIBRARY_PATH="${FOAM_LIBBIN}${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}" + +# 验证关键可执行文件 +for cmd in blockMesh decomposePar interFoam reconstructPar; do + if ! command -v "$cmd" &>/dev/null; then + echo "[ERROR] 找不到 $cmd，请确认 OpenFOAM v1906 已安装" >&2 + exit 1 + fi +done +echo "[INFO] OpenFOAM 环境就绪: WM_PROJECT_DIR=${WM_PROJECT_DIR}" + +# ---- 初始化 ---- +SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" +BATCH_LOG="${SCRIPT_DIR}/batch_run_$(date +%Y%m%dT%H%M%S).log" +echo "[DEBUG] BATCH_LOG=$BATCH_LOG" >&2 + +GLOBAL_START=$(date +%s) +TOTAL_CASES=0 +TOTAL_SUCCESS=0 +TOTAL_FAILED=0 +TOTAL_SKIPPED=0 +FAILED_LIST="" + +# ---- 日志辅助函数 ---- +log() { + local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*" + echo "$msg" + echo "$msg" >> "$BATCH_LOG" +} + +# 检查 case 是否已完成（log.interFoam 末尾含 "End"） +check_completed() { + local log_file="$1/log.interFoam" + [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End" +} + +# ---- 主循环 ---- +log "=========================================" +log " OpenFOAM 批量运行" +log "=========================================" +log " 数据目录: $DATA_DIR" +log " Case 类型: $CASE_TYPES" +log " 轨迹范围: t$(printf '%02d' "$START_IDX") — t$(printf '%02d' "$END_IDX")" +log " MPI 进程数: $NCPU" +log " 跳过已完成: $SKIP_EXISTING" +log " 清理 processor 目录: $CLEAN_PROCESSORS" +log " 日志文件: $BATCH_LOG" +log "=========================================" + +# 确认数据目录存在 +if [ ! -d "$DATA_DIR" ]; then + log "[ERROR] 数据目录不存在: $DATA_DIR" + exit 1 +fi + +for CASE_TYPE in $CASE_TYPES; do + TYPE_DIR="$DATA_DIR/$CASE_TYPE" + + if [ ! -d "$TYPE_DIR" ]; then + log "[WARN] 目录不存在，跳过: $TYPE_DIR" + continue + fi + + log "" + log "=========================================================" + log " Case 类型: $CASE_TYPE" + log "=========================================================" + + TYPE_SUCCESS=0 + TYPE_FAILED=0 + TYPE_SKIPPED=0 + TYPE_START=$(date +%s) + + IDX="$START_IDX" + while [ "$IDX" -le "$END_IDX" ]; do + CASE_NAME="t$(printf '%02d' "$IDX")" + CASE_DIR="$TYPE_DIR/$CASE_NAME" + TOTAL_CASES=$((TOTAL_CASES + 1)) + + # ---- 检查 case 目录是否存在 ---- + if [ ! -d "$CASE_DIR" ]; then + log "[WARN] $CASE_TYPE/$CASE_NAME — 目录不存在，跳过" + IDX=$((IDX + 1)) + continue + fi + + # ---- 检查是否已完成 ---- + if [ "$SKIP_EXISTING" = true ] && check_completed "$CASE_DIR"; then + log "[SKIP] $CASE_TYPE/$CASE_NAME — 已完成" + TOTAL_SKIPPED=$((TOTAL_SKIPPED + 1)) + TYPE_SKIPPED=$((TYPE_SKIPPED + 1)) + IDX=$((IDX + 1)) + continue + fi + + # ---- 开始运行 ---- + CASE_START=$(date +%s) + log "[START] $CASE_TYPE/$CASE_NAME" + + # 函数: 运行单个 case 的全部步骤 + # 返回 0=成功, 1=失败 + # 注意: cd 在子 shell 中执行，不影响外层 + ( + cd "$CASE_DIR" || exit 1 + + # 1) blockMesh + blockMesh > log.blockMesh 2>&1 + if [ $? -ne 0 ]; then + echo "[ERROR] blockMesh 失败" + exit 1 + fi + + # 2) stokes_wave 需在 decomposePar 前执行 setFields + if [ "$CASE_TYPE" = "stokes_wave" ]; then + setFields > log.setFields 2>&1 + if [ $? -ne 0 ]; then + echo "[ERROR] setFields 失败" + exit 1 + fi + fi + + # 3) 更新 decomposeParDict 以匹配 NCPU，然后 decomposePar + # 2D case: Z 方向始终为 1，X*Y = NCPU + # 计算合适的分解比例（尽量接近正方形） + NX=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print(n if n*n==$NCPU else $NCPU)") + NY=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print($NCPU//n)") + sed -i "s/numberOfSubdomains [0-9]*/numberOfSubdomains $NCPU/" system/decomposeParDict + sed -i "s/n\s*( *[0-9]* *[0-9]* *[0-9]*)/n ($NX $NY 1)/" system/decomposeParDict + decomposePar -force > log.decomposePar 2>&1 + if [ $? -ne 0 ]; then + echo "[ERROR] decomposePar 失败" + exit 1 + fi + + # 4) mpirun interFoam 并行求解 + mpirun --oversubscribe -np "$NCPU" interFoam -parallel > log.interFoam 2>&1 + if [ $? -ne 0 ]; then + echo "[ERROR] interFoam 失败" + exit 1 + fi + + # 5) reconstructPar（合并并行结果） + reconstructPar -latestTime > log.reconstructPar 2>&1 + if [ $? -ne 0 ]; then + echo "[WARNING] reconstructPar 失败（非致命）" + fi + + # 6) 可选: 清理 processor* 目录 + if [ "$CLEAN_PROCESSORS" = true ]; then + rm -rf processor* + fi + + exit 0 + ) + CASE_EXIT=$? + + # ---- 记录结果 ---- + CASE_END=$(date +%s) + CASE_ELAPSED=$((CASE_END - CASE_START)) + CASE_MINS=$((CASE_ELAPSED / 60)) + CASE_SECS=$((CASE_ELAPSED % 60)) + + if [ "$CASE_EXIT" -eq 0 ]; then + # 验证 log.interFoam 末尾含 "End" + if check_completed "$CASE_DIR"; then + log "[DONE] $CASE_TYPE/$CASE_NAME (${CASE_MINS}m${CASE_SECS}s)" + TOTAL_SUCCESS=$((TOTAL_SUCCESS + 1)) + TYPE_SUCCESS=$((TYPE_SUCCESS + 1)) + else + log "[FAIL] $CASE_TYPE/$CASE_NAME — interFoam 完成但无 End 标记 (${CASE_MINS}m${CASE_SECS}s)" + TOTAL_FAILED=$((TOTAL_FAILED + 1)) + TYPE_FAILED=$((TYPE_FAILED + 1)) + FAILED_LIST="${FAILED_LIST}\n $CASE_TYPE/$CASE_NAME (无 End 标记)" + fi + else + # 提取最后一条 ERROR 信息 + ERR_MSG="exit=$CASE_EXIT" + for logf in log.blockMesh log.setFields log.decomposePar log.interFoam; do + if [ -f "$CASE_DIR/$logf" ] && grep -q "ERROR\|error\|FOAM FATAL" "$CASE_DIR/$logf" 2>/dev/null; then + ERR_MSG="$logf: $(grep -m1 'ERROR\|error\|FOAM FATAL' "$CASE_DIR/$logf")" + break + fi + done + log "[FAIL] $CASE_TYPE/$CASE_NAME — $ERR_MSG (${CASE_MINS}m${CASE_SECS}s)" + TOTAL_FAILED=$((TOTAL_FAILED + 1)) + TYPE_FAILED=$((TYPE_FAILED + 1)) + FAILED_LIST="${FAILED_LIST}\n $CASE_TYPE/$CASE_NAME ($ERR_MSG)" + fi + + IDX=$((IDX + 1)) + done + + # ---- Case 类型汇总 ---- + TYPE_END=$(date +%s) + TYPE_ELAPSED=$((TYPE_END - TYPE_START)) + TYPE_MINS=$((TYPE_ELAPSED / 60)) + + log "" + log "--- $CASE_TYPE 完成 ---" + log " 成功: $TYPE_SUCCESS | 失败: $TYPE_FAILED | 跳过: $TYPE_SKIPPED" + log " 耗时: ${TYPE_MINS} 分钟" +done + +# ---- 全局汇总 ---- +GLOBAL_END=$(date +%s) +GLOBAL_ELAPSED=$((GLOBAL_END - GLOBAL_START)) +GLOBAL_MINS=$((GLOBAL_ELAPSED / 60)) +GLOBAL_HOURS=$((GLOBAL_ELAPSED / 3600)) + +log "" +log "=========================================================" +log " 批量运行完成" +log "=========================================================" +log " 总计 case: $TOTAL_CASES" +log " 成功: $TOTAL_SUCCESS" +log " 失败: $TOTAL_FAILED" +log " 跳过: $TOTAL_SKIPPED" +log " 总耗时: ${GLOBAL_MINS} 分钟 (~${GLOBAL_HOURS} 小时)" +log " 结束时间: $(date)" +log " 日志文件: $BATCH_LOG" +log "=========================================================" + +if [ "$TOTAL_FAILED" -gt 0 ]; then + log "" + log "失败 case 列表:" + log "$(echo -e "$FAILED_LIST")" +fi diff --git a/scripts/batch_run_20260628T233247.log b/scripts/batch_run_20260628T233247.log new file mode 100644 index 0000000000000000000000000000000000000000..fb89ca2fbd4d5316eb5a9c5daa1e8f2eceb5491a --- /dev/null +++ b/scripts/batch_run_20260628T233247.log @@ -0,0 +1,33 @@ +[2026-06-28 23:32:47] ========================================= +[2026-06-28 23:32:47] OpenFOAM 批量运行 +[2026-06-28 23:32:47] ========================================= +[2026-06-28 23:32:47] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-28 23:32:47] Case 类型: droplet_impact +[2026-06-28 23:32:47] 轨迹范围: t00 — t00 +[2026-06-28 23:32:47] MPI 进程数: 4 +[2026-06-28 23:32:47] 跳过已完成: false +[2026-06-28 23:32:47] 清理 processor 目录: true +[2026-06-28 23:32:47] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260628T233247.log +[2026-06-28 23:32:47] ========================================= +[2026-06-28 23:32:47] +[2026-06-28 23:32:47] ========================================================= +[2026-06-28 23:32:47] Case 类型: droplet_impact +[2026-06-28 23:32:47] ========================================================= +[2026-06-28 23:32:47] [START] droplet_impact/t00 +[2026-06-29 01:16:26] [DONE] droplet_impact/t00 (103m39s) +[2026-06-29 01:16:26] +[2026-06-29 01:16:26] --- droplet_impact 完成 --- +[2026-06-29 01:16:26] 成功: 1 | 失败: 0 | 跳过: 0 +[2026-06-29 01:16:26] 耗时: 103 分钟 +[2026-06-29 01:16:26] +[2026-06-29 01:16:26] ========================================================= +[2026-06-29 01:16:26] 批量运行完成 +[2026-06-29 01:16:26] ========================================================= +[2026-06-29 01:16:26] 总计 case: 1 +[2026-06-29 01:16:26] 成功: 1 +[2026-06-29 01:16:26] 失败: 0 +[2026-06-29 01:16:26] 跳过: 0 +[2026-06-29 01:16:26] 总耗时: 103 分钟 (~1 小时) +[2026-06-29 01:16:26] 结束时间: Mon Jun 29 01:16:26 CST 2026 +[2026-06-29 01:16:26] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260628T233247.log +[2026-06-29 01:16:26] ========================================================= diff --git a/scripts/batch_run_20260628T233516.log b/scripts/batch_run_20260628T233516.log new file mode 100644 index 0000000000000000000000000000000000000000..9e08db17d60fa349253f8ae3bd51d495afd6af56 --- /dev/null +++ b/scripts/batch_run_20260628T233516.log @@ -0,0 +1,30 @@ +[2026-06-28 23:35:16] ========================================= +[2026-06-28 23:35:16] OpenFOAM 批量运行 +[2026-06-28 23:35:16] ========================================= +[2026-06-28 23:35:16] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-28 23:35:16] Case 类型: dam_break rising_bubble stokes_wave +[2026-06-28 23:35:16] 轨迹范围: t01 — t49 +[2026-06-28 23:35:16] MPI 进程数: 16 +[2026-06-28 23:35:16] 跳过已完成: true +[2026-06-28 23:35:16] 清理 processor 目录: true +[2026-06-28 23:35:16] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260628T233516.log +[2026-06-28 23:35:16] ========================================= +[2026-06-28 23:35:16] +[2026-06-28 23:35:16] ========================================================= +[2026-06-28 23:35:16] Case 类型: dam_break +[2026-06-28 23:35:16] ========================================================= +[2026-06-28 23:35:16] [START] dam_break/t01 +[2026-06-29 00:07:04] [DONE] dam_break/t01 (31m48s) +[2026-06-29 00:07:04] [START] dam_break/t02 +[2026-06-29 01:21:14] [DONE] dam_break/t02 (74m10s) +[2026-06-29 01:21:14] [START] dam_break/t03 +[2026-06-29 01:33:49] [DONE] dam_break/t03 (12m35s) +[2026-06-29 01:33:49] [START] dam_break/t04 +[2026-06-29 01:56:37] [DONE] dam_break/t04 (22m48s) +[2026-06-29 01:56:37] [START] dam_break/t05 +[2026-06-29 02:18:00] [DONE] dam_break/t05 (21m23s) +[2026-06-29 02:18:00] [START] dam_break/t06 +[2026-06-29 02:31:30] [DONE] dam_break/t06 (13m30s) +[2026-06-29 02:31:30] [START] dam_break/t07 +[2026-06-29 02:52:55] [DONE] dam_break/t07 (21m25s) +[2026-06-29 02:52:55] [START] dam_break/t08 diff --git a/scripts/batch_run_20260629T025633.log b/scripts/batch_run_20260629T025633.log new file mode 100644 index 0000000000000000000000000000000000000000..b5fbfcde51537e38654e732822f6b4ac515739b9 --- /dev/null +++ b/scripts/batch_run_20260629T025633.log @@ -0,0 +1,23 @@ +[2026-06-29 02:56:33] ========================================= +[2026-06-29 02:56:33] OpenFOAM 批量运行 +[2026-06-29 02:56:33] ========================================= +[2026-06-29 02:56:33] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-29 02:56:33] Case 类型: dam_break rising_bubble stokes_wave +[2026-06-29 02:56:33] 轨迹范围: t01 — t49 +[2026-06-29 02:56:33] MPI 进程数: 16 +[2026-06-29 02:56:33] 跳过已完成: true +[2026-06-29 02:56:33] 清理 processor 目录: true +[2026-06-29 02:56:33] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260629T025633.log +[2026-06-29 02:56:33] ========================================= +[2026-06-29 02:56:33] +[2026-06-29 02:56:33] ========================================================= +[2026-06-29 02:56:33] Case 类型: dam_break +[2026-06-29 02:56:33] ========================================================= +[2026-06-29 02:56:33] [SKIP] dam_break/t01 — 已完成 +[2026-06-29 02:56:33] [SKIP] dam_break/t02 — 已完成 +[2026-06-29 02:56:34] [SKIP] dam_break/t03 — 已完成 +[2026-06-29 02:56:34] [SKIP] dam_break/t04 — 已完成 +[2026-06-29 02:56:34] [SKIP] dam_break/t05 — 已完成 +[2026-06-29 02:56:34] [SKIP] dam_break/t06 — 已完成 +[2026-06-29 02:56:34] [SKIP] dam_break/t07 — 已完成 +[2026-06-29 02:56:34] [START] dam_break/t08 diff --git a/scripts/batch_run_20260629T050355.log b/scripts/batch_run_20260629T050355.log new file mode 100644 index 0000000000000000000000000000000000000000..aa7e6a5807605898591170e67d86c08386b5e58d --- /dev/null +++ b/scripts/batch_run_20260629T050355.log @@ -0,0 +1,35 @@ +[2026-06-29 05:03:55] ========================================= +[2026-06-29 05:03:55] OpenFOAM 批量运行 +[2026-06-29 05:03:55] ========================================= +[2026-06-29 05:03:55] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-29 05:03:55] Case 类型: dam_break rising_bubble stokes_wave +[2026-06-29 05:03:55] 轨迹范围: t01 — t49 +[2026-06-29 05:03:55] MPI 进程数: 16 +[2026-06-29 05:03:55] 跳过已完成: true +[2026-06-29 05:03:55] 清理 processor 目录: true +[2026-06-29 05:03:55] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260629T050355.log +[2026-06-29 05:03:55] ========================================= +[2026-06-29 05:03:55] +[2026-06-29 05:03:55] ========================================================= +[2026-06-29 05:03:55] Case 类型: dam_break +[2026-06-29 05:03:55] ========================================================= +[2026-06-29 05:03:56] [SKIP] dam_break/t01 — 已完成 +[2026-06-29 05:03:56] [SKIP] dam_break/t02 — 已完成 +[2026-06-29 05:03:56] [SKIP] dam_break/t03 — 已完成 +[2026-06-29 05:03:56] [SKIP] dam_break/t04 — 已完成 +[2026-06-29 05:03:56] [SKIP] dam_break/t05 — 已完成 +[2026-06-29 05:03:56] [SKIP] dam_break/t06 — 已完成 +[2026-06-29 05:03:56] [SKIP] dam_break/t07 — 已完成 +[2026-06-29 05:03:56] [START] dam_break/t08 +[2026-06-29 05:41:16] [DONE] dam_break/t08 (37m20s) +[2026-06-29 05:41:16] [START] dam_break/t09 +[2026-06-29 05:52:04] [DONE] dam_break/t09 (10m48s) +[2026-06-29 05:52:04] [START] dam_break/t10 +[2026-06-29 06:04:32] [DONE] dam_break/t10 (12m28s) +[2026-06-29 06:04:32] [START] dam_break/t11 +[2026-06-29 06:16:51] [DONE] dam_break/t11 (12m19s) +[2026-06-29 06:16:51] [START] dam_break/t12 +[2026-06-29 06:27:52] [DONE] dam_break/t12 (11m1s) +[2026-06-29 06:27:52] [START] dam_break/t13 +[2026-06-29 06:42:07] [DONE] dam_break/t13 (14m15s) +[2026-06-29 06:42:07] [START] dam_break/t14 diff --git a/scripts/batch_run_20260629T091132.log b/scripts/batch_run_20260629T091132.log new file mode 100644 index 0000000000000000000000000000000000000000..13ff8d20eb65ddf0d4acd540220573575022bfd2 --- /dev/null +++ b/scripts/batch_run_20260629T091132.log @@ -0,0 +1,37 @@ +[2026-06-29 09:11:32] ========================================= +[2026-06-29 09:11:32] OpenFOAM 批量运行 +[2026-06-29 09:11:32] ========================================= +[2026-06-29 09:11:32] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-29 09:11:32] Case 类型: dam_break rising_bubble stokes_wave +[2026-06-29 09:11:32] 轨迹范围: t01 — t49 +[2026-06-29 09:11:32] MPI 进程数: 16 +[2026-06-29 09:11:32] 跳过已完成: true +[2026-06-29 09:11:32] 清理 processor 目录: true +[2026-06-29 09:11:32] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260629T091132.log +[2026-06-29 09:11:32] ========================================= +[2026-06-29 09:11:32] +[2026-06-29 09:11:32] ========================================================= +[2026-06-29 09:11:32] Case 类型: dam_break +[2026-06-29 09:11:32] ========================================================= +[2026-06-29 09:11:32] [SKIP] dam_break/t01 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t02 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t03 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t04 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t05 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t06 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t07 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t08 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t09 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t10 — 已完成 +[2026-06-29 09:11:32] [SKIP] dam_break/t11 — 已完成 +[2026-06-29 09:11:33] [SKIP] dam_break/t12 — 已完成 +[2026-06-29 09:11:33] [SKIP] dam_break/t13 — 已完成 +[2026-06-29 09:11:33] [START] dam_break/t14 +[2026-06-29 09:43:30] [DONE] dam_break/t14 (31m57s) +[2026-06-29 09:43:30] [START] dam_break/t15 +[2026-06-29 09:59:01] [DONE] dam_break/t15 (15m31s) +[2026-06-29 09:59:01] [START] dam_break/t16 +[2026-06-29 10:11:35] [DONE] dam_break/t16 (12m34s) +[2026-06-29 10:11:35] [START] dam_break/t17 +[2026-06-29 10:24:58] [DONE] dam_break/t17 (13m23s) +[2026-06-29 10:24:58] [START] dam_break/t18 diff --git a/scripts/batch_run_20260629T121436.log b/scripts/batch_run_20260629T121436.log new file mode 100644 index 0000000000000000000000000000000000000000..7f3cebaa6059b4f152fd3f96b19abbb9175cbbc9 --- /dev/null +++ b/scripts/batch_run_20260629T121436.log @@ -0,0 +1,55 @@ +[2026-06-29 12:14:36] ========================================= +[2026-06-29 12:14:36] OpenFOAM 批量运行 +[2026-06-29 12:14:36] ========================================= +[2026-06-29 12:14:36] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-29 12:14:36] Case 类型: dam_break rising_bubble stokes_wave droplet_impact +[2026-06-29 12:14:36] 轨迹范围: t01 — t49 +[2026-06-29 12:14:36] MPI 进程数: 16 +[2026-06-29 12:14:36] 跳过已完成: true +[2026-06-29 12:14:36] 清理 processor 目录: true +[2026-06-29 12:14:36] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260629T121436.log +[2026-06-29 12:14:36] ========================================= +[2026-06-29 12:14:36] +[2026-06-29 12:14:36] ========================================================= +[2026-06-29 12:14:36] Case 类型: dam_break +[2026-06-29 12:14:37] ========================================================= +[2026-06-29 12:14:37] [SKIP] dam_break/t01 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t02 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t03 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t04 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t05 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t06 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t07 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t08 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t09 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t10 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t11 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t12 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t13 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t14 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t15 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t16 — 已完成 +[2026-06-29 12:14:37] [SKIP] dam_break/t17 — 已完成 +[2026-06-29 12:14:37] [START] dam_break/t18 +[2026-06-29 12:41:51] [DONE] dam_break/t18 (27m14s) +[2026-06-29 12:41:51] [START] dam_break/t19 +[2026-06-29 12:51:26] [DONE] dam_break/t19 (9m35s) +[2026-06-29 12:51:26] [START] dam_break/t20 +[2026-06-29 13:04:28] [DONE] dam_break/t20 (13m2s) +[2026-06-29 13:04:28] [START] dam_break/t21 +[2026-06-29 13:25:49] [DONE] dam_break/t21 (21m21s) +[2026-06-29 13:25:49] [START] dam_break/t22 +[2026-06-29 13:43:29] [DONE] dam_break/t22 (17m40s) +[2026-06-29 13:43:29] [START] dam_break/t23 +[2026-06-29 14:11:32] [DONE] dam_break/t23 (28m3s) +[2026-06-29 14:11:32] [START] dam_break/t24 +[2026-06-29 14:25:10] [DONE] dam_break/t24 (13m38s) +[2026-06-29 14:25:10] [START] dam_break/t25 +[2026-06-29 14:40:50] [DONE] dam_break/t25 (15m40s) +[2026-06-29 14:40:50] [START] dam_break/t26 +[2026-06-29 14:51:08] [DONE] dam_break/t26 (10m18s) +[2026-06-29 14:51:08] [START] dam_break/t27 +[2026-06-29 14:59:32] [DONE] dam_break/t27 (8m24s) +[2026-06-29 14:59:32] [START] dam_break/t28 +[2026-06-29 15:18:16] [DONE] dam_break/t28 (18m44s) +[2026-06-29 15:18:16] [START] dam_break/t29 diff --git a/scripts/batch_run_20260629T174908.log b/scripts/batch_run_20260629T174908.log new file mode 100644 index 0000000000000000000000000000000000000000..9bddb0773aaf0f3cb72f1064eaae6b94a2719140 --- /dev/null +++ b/scripts/batch_run_20260629T174908.log @@ -0,0 +1,209 @@ +[2026-06-29 17:49:08] ========================================= +[2026-06-29 17:49:08] OpenFOAM 批量运行 +[2026-06-29 17:49:08] ========================================= +[2026-06-29 17:49:08] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-29 17:49:08] Case 类型: dam_break rising_bubble stokes_wave droplet_impact +[2026-06-29 17:49:08] 轨迹范围: t01 — t49 +[2026-06-29 17:49:08] MPI 进程数: 16 +[2026-06-29 17:49:08] 跳过已完成: true +[2026-06-29 17:49:08] 清理 processor 目录: true +[2026-06-29 17:49:08] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260629T174908.log +[2026-06-29 17:49:08] ========================================= +[2026-06-29 17:49:08] +[2026-06-29 17:49:08] ========================================================= +[2026-06-29 17:49:08] Case 类型: dam_break +[2026-06-29 17:49:08] ========================================================= +[2026-06-29 17:49:08] [SKIP] dam_break/t01 — 已完成 +[2026-06-29 17:49:08] [SKIP] dam_break/t02 — 已完成 +[2026-06-29 17:49:08] [SKIP] dam_break/t03 — 已完成 +[2026-06-29 17:49:08] [SKIP] dam_break/t04 — 已完成 +[2026-06-29 17:49:08] [SKIP] dam_break/t05 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t06 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t07 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t08 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t09 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t10 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t11 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t12 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t13 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t14 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t15 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t16 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t17 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t18 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t19 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t20 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t21 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t22 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t23 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t24 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t25 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t26 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t27 — 已完成 +[2026-06-29 17:49:09] [SKIP] dam_break/t28 — 已完成 +[2026-06-29 17:49:10] [START] dam_break/t29 +[2026-06-29 18:37:15] [DONE] dam_break/t29 (48m5s) +[2026-06-29 18:37:15] [START] dam_break/t30 +[2026-06-29 18:51:09] [DONE] dam_break/t30 (13m54s) +[2026-06-29 18:51:09] [START] dam_break/t31 +[2026-06-29 19:07:44] [DONE] dam_break/t31 (16m35s) +[2026-06-29 19:07:44] [START] dam_break/t32 +[2026-06-29 19:22:55] [DONE] dam_break/t32 (15m11s) +[2026-06-29 19:22:55] [START] dam_break/t33 +[2026-06-29 19:34:03] [DONE] dam_break/t33 (11m8s) +[2026-06-29 19:34:03] [START] dam_break/t34 +[2026-06-29 19:50:59] [DONE] dam_break/t34 (16m56s) +[2026-06-29 19:50:59] [START] dam_break/t35 +[2026-06-29 20:21:38] [DONE] dam_break/t35 (30m39s) +[2026-06-29 20:21:38] [START] dam_break/t36 +[2026-06-29 20:41:48] [DONE] dam_break/t36 (20m10s) +[2026-06-29 20:41:48] [START] dam_break/t37 +[2026-06-29 20:54:10] [DONE] dam_break/t37 (12m22s) +[2026-06-29 20:54:10] [START] dam_break/t38 +[2026-06-29 21:10:00] [DONE] dam_break/t38 (15m50s) +[2026-06-29 21:10:00] [START] dam_break/t39 +[2026-06-29 21:28:36] [DONE] dam_break/t39 (18m36s) +[2026-06-29 21:28:36] [START] dam_break/t40 +[2026-06-29 22:04:41] [DONE] dam_break/t40 (36m5s) +[2026-06-29 22:04:41] [START] dam_break/t41 +[2026-06-29 22:13:52] [DONE] dam_break/t41 (9m11s) +[2026-06-29 22:13:52] [START] dam_break/t42 +[2026-06-29 22:31:12] [DONE] dam_break/t42 (17m20s) +[2026-06-29 22:31:12] [START] dam_break/t43 +[2026-06-29 22:45:53] [DONE] dam_break/t43 (14m41s) +[2026-06-29 22:45:53] [START] dam_break/t44 +[2026-06-29 22:57:40] [DONE] dam_break/t44 (11m47s) +[2026-06-29 22:57:40] [START] dam_break/t45 +[2026-06-29 23:18:32] [DONE] dam_break/t45 (20m52s) +[2026-06-29 23:18:32] [START] dam_break/t46 +[2026-06-29 23:34:57] [DONE] dam_break/t46 (16m25s) +[2026-06-29 23:34:57] [START] dam_break/t47 +[2026-06-29 23:53:22] [DONE] dam_break/t47 (18m25s) +[2026-06-29 23:53:22] [START] dam_break/t48 +[2026-06-30 00:02:43] [DONE] dam_break/t48 (9m21s) +[2026-06-30 00:02:43] [START] dam_break/t49 +[2026-06-30 00:14:20] [DONE] dam_break/t49 (11m37s) +[2026-06-30 00:14:20] +[2026-06-30 00:14:20] --- dam_break 完成 --- +[2026-06-30 00:14:20] 成功: 21 | 失败: 0 | 跳过: 28 +[2026-06-30 00:14:20] 耗时: 385 分钟 +[2026-06-30 00:14:20] +[2026-06-30 00:14:20] ========================================================= +[2026-06-30 00:14:20] Case 类型: rising_bubble +[2026-06-30 00:14:20] ========================================================= +[2026-06-30 00:14:20] [SKIP] rising_bubble/t01 — 已完成 +[2026-06-30 00:14:20] [START] rising_bubble/t02 +[2026-06-30 00:24:47] [DONE] rising_bubble/t02 (10m27s) +[2026-06-30 00:24:47] [START] rising_bubble/t03 +[2026-06-30 00:35:32] [DONE] rising_bubble/t03 (10m45s) +[2026-06-30 00:35:32] [START] rising_bubble/t04 +[2026-06-30 00:45:57] [DONE] rising_bubble/t04 (10m25s) +[2026-06-30 00:45:57] [START] rising_bubble/t05 +[2026-06-30 00:56:33] [DONE] rising_bubble/t05 (10m36s) +[2026-06-30 00:56:33] [START] rising_bubble/t06 +[2026-06-30 01:07:02] [DONE] rising_bubble/t06 (10m29s) +[2026-06-30 01:07:02] [START] rising_bubble/t07 +[2026-06-30 01:17:24] [DONE] rising_bubble/t07 (10m22s) +[2026-06-30 01:17:24] [START] rising_bubble/t08 +[2026-06-30 01:27:51] [DONE] rising_bubble/t08 (10m27s) +[2026-06-30 01:27:51] [START] rising_bubble/t09 +[2026-06-30 01:38:19] [DONE] rising_bubble/t09 (10m28s) +[2026-06-30 01:38:19] [START] rising_bubble/t10 +[2026-06-30 01:48:55] [DONE] rising_bubble/t10 (10m36s) +[2026-06-30 01:48:55] [START] rising_bubble/t11 +[2026-06-30 01:59:16] [DONE] rising_bubble/t11 (10m21s) +[2026-06-30 01:59:16] [START] rising_bubble/t12 +[2026-06-30 02:10:24] [DONE] rising_bubble/t12 (11m7s) +[2026-06-30 02:10:24] [START] rising_bubble/t13 +[2026-06-30 02:20:51] [DONE] rising_bubble/t13 (10m27s) +[2026-06-30 02:20:51] [START] rising_bubble/t14 +[2026-06-30 02:31:07] [DONE] rising_bubble/t14 (10m16s) +[2026-06-30 02:31:07] [START] rising_bubble/t15 +[2026-06-30 02:41:35] [DONE] rising_bubble/t15 (10m28s) +[2026-06-30 02:41:35] [START] rising_bubble/t16 +[2026-06-30 02:52:06] [DONE] rising_bubble/t16 (10m31s) +[2026-06-30 02:52:06] [START] rising_bubble/t17 +[2026-06-30 03:02:27] [DONE] rising_bubble/t17 (10m21s) +[2026-06-30 03:02:27] [START] rising_bubble/t18 +[2026-06-30 03:13:01] [DONE] rising_bubble/t18 (10m34s) +[2026-06-30 03:13:01] [START] rising_bubble/t19 +[2026-06-30 03:23:16] [DONE] rising_bubble/t19 (10m15s) +[2026-06-30 03:23:16] [START] rising_bubble/t20 +[2026-06-30 03:33:55] [DONE] rising_bubble/t20 (10m39s) +[2026-06-30 03:33:56] [START] rising_bubble/t21 +[2026-06-30 03:44:23] [DONE] rising_bubble/t21 (10m27s) +[2026-06-30 03:44:23] [START] rising_bubble/t22 +[2026-06-30 03:54:52] [DONE] rising_bubble/t22 (10m29s) +[2026-06-30 03:54:52] [START] rising_bubble/t23 +[2026-06-30 04:05:25] [DONE] rising_bubble/t23 (10m33s) +[2026-06-30 04:05:25] [START] rising_bubble/t24 +[2026-06-30 04:15:55] [DONE] rising_bubble/t24 (10m30s) +[2026-06-30 04:15:55] [START] rising_bubble/t25 +[2026-06-30 04:26:24] [DONE] rising_bubble/t25 (10m29s) +[2026-06-30 04:26:24] [START] rising_bubble/t26 +[2026-06-30 04:36:55] [DONE] rising_bubble/t26 (10m31s) +[2026-06-30 04:36:55] [START] rising_bubble/t27 +[2026-06-30 04:47:30] [DONE] rising_bubble/t27 (10m35s) +[2026-06-30 04:47:30] [START] rising_bubble/t28 +[2026-06-30 04:58:01] [DONE] rising_bubble/t28 (10m31s) +[2026-06-30 04:58:01] [START] rising_bubble/t29 +[2026-06-30 05:08:35] [DONE] rising_bubble/t29 (10m34s) +[2026-06-30 05:08:35] [START] rising_bubble/t30 +[2026-06-30 05:19:04] [DONE] rising_bubble/t30 (10m29s) +[2026-06-30 05:19:04] [START] rising_bubble/t31 +[2026-06-30 05:29:44] [DONE] rising_bubble/t31 (10m40s) +[2026-06-30 05:29:44] [START] rising_bubble/t32 +[2026-06-30 05:40:17] [DONE] rising_bubble/t32 (10m33s) +[2026-06-30 05:40:17] [START] rising_bubble/t33 +[2026-06-30 05:51:30] [DONE] rising_bubble/t33 (11m13s) +[2026-06-30 05:51:30] [START] rising_bubble/t34 +[2026-06-30 06:02:01] [DONE] rising_bubble/t34 (10m31s) +[2026-06-30 06:02:01] [START] rising_bubble/t35 +[2026-06-30 06:12:33] [DONE] rising_bubble/t35 (10m31s) +[2026-06-30 06:12:33] [START] rising_bubble/t36 +[2026-06-30 06:22:54] [DONE] rising_bubble/t36 (10m21s) +[2026-06-30 06:22:54] [START] rising_bubble/t37 +[2026-06-30 06:33:23] [DONE] rising_bubble/t37 (10m29s) +[2026-06-30 06:33:23] [START] rising_bubble/t38 +[2026-06-30 06:43:44] [DONE] rising_bubble/t38 (10m21s) +[2026-06-30 06:43:44] [START] rising_bubble/t39 +[2026-06-30 06:54:23] [DONE] rising_bubble/t39 (10m39s) +[2026-06-30 06:54:23] [START] rising_bubble/t40 +[2026-06-30 07:05:01] [DONE] rising_bubble/t40 (10m38s) +[2026-06-30 07:05:01] [START] rising_bubble/t41 +[2026-06-30 07:15:35] [DONE] rising_bubble/t41 (10m34s) +[2026-06-30 07:15:35] [START] rising_bubble/t42 +[2026-06-30 07:26:00] [DONE] rising_bubble/t42 (10m25s) +[2026-06-30 07:26:00] [START] rising_bubble/t43 +[2026-06-30 07:36:28] [DONE] rising_bubble/t43 (10m28s) +[2026-06-30 07:36:28] [START] rising_bubble/t44 +[2026-06-30 07:46:56] [DONE] rising_bubble/t44 (10m28s) +[2026-06-30 07:46:56] [START] rising_bubble/t45 +[2026-06-30 07:57:39] [DONE] rising_bubble/t45 (10m43s) +[2026-06-30 07:57:39] [START] rising_bubble/t46 +[2026-06-30 08:08:08] [DONE] rising_bubble/t46 (10m29s) +[2026-06-30 08:08:08] [START] rising_bubble/t47 +[2026-06-30 08:18:53] [DONE] rising_bubble/t47 (10m45s) +[2026-06-30 08:18:53] [START] rising_bubble/t48 +[2026-06-30 08:29:31] [DONE] rising_bubble/t48 (10m38s) +[2026-06-30 08:29:31] [START] rising_bubble/t49 +[2026-06-30 08:40:00] [DONE] rising_bubble/t49 (10m29s) +[2026-06-30 08:40:00] +[2026-06-30 08:40:00] --- rising_bubble 完成 --- +[2026-06-30 08:40:00] 成功: 48 | 失败: 0 | 跳过: 1 +[2026-06-30 08:40:00] 耗时: 505 分钟 +[2026-06-30 08:40:00] +[2026-06-30 08:40:00] ========================================================= +[2026-06-30 08:40:00] Case 类型: stokes_wave +[2026-06-30 08:40:00] ========================================================= +[2026-06-30 08:40:01] [START] stokes_wave/t01 +[2026-06-30 09:52:52] [DONE] stokes_wave/t01 (72m51s) +[2026-06-30 09:52:52] [START] stokes_wave/t02 +[2026-06-30 11:09:43] [DONE] stokes_wave/t02 (76m50s) +[2026-06-30 11:09:43] [START] stokes_wave/t03 +[2026-06-30 12:27:49] [DONE] stokes_wave/t03 (78m6s) +[2026-06-30 12:27:49] [START] stokes_wave/t04 +[2026-06-30 14:06:00] [DONE] stokes_wave/t04 (98m11s) +[2026-06-30 14:06:00] [START] stokes_wave/t05 +[2026-06-30 15:54:00] [DONE] stokes_wave/t05 (108m0s) +[2026-06-30 15:54:00] [START] stokes_wave/t06 diff --git a/scripts/batch_run_20260630T172804.log b/scripts/batch_run_20260630T172804.log new file mode 100644 index 0000000000000000000000000000000000000000..81e2a86b8573dad0aadfbc4aa450f76973c5eae1 --- /dev/null +++ b/scripts/batch_run_20260630T172804.log @@ -0,0 +1,136 @@ +[2026-06-30 17:28:04] ========================================= +[2026-06-30 17:28:04] OpenFOAM 批量运行 +[2026-06-30 17:28:04] ========================================= +[2026-06-30 17:28:04] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-30 17:28:04] Case 类型: dam_break rising_bubble stokes_wave droplet_impact +[2026-06-30 17:28:04] 轨迹范围: t01 — t49 +[2026-06-30 17:28:04] MPI 进程数: 16 +[2026-06-30 17:28:04] 跳过已完成: true +[2026-06-30 17:28:04] 清理 processor 目录: true +[2026-06-30 17:28:04] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260630T172804.log +[2026-06-30 17:28:04] ========================================= +[2026-06-30 17:28:04] +[2026-06-30 17:28:04] ========================================================= +[2026-06-30 17:28:04] Case 类型: dam_break +[2026-06-30 17:28:04] ========================================================= +[2026-06-30 17:28:04] [SKIP] dam_break/t01 — 已完成 +[2026-06-30 17:28:04] [SKIP] dam_break/t02 — 已完成 +[2026-06-30 17:28:04] [SKIP] dam_break/t03 — 已完成 +[2026-06-30 17:28:04] [SKIP] dam_break/t04 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t05 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t06 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t07 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t08 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t09 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t10 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t11 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t12 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t13 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t14 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t15 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t16 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t17 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t18 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t19 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t20 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t21 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t22 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t23 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t24 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t25 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t26 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t27 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t28 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t29 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t30 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t31 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t32 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t33 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t34 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t35 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t36 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t37 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t38 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t39 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t40 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t41 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t42 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t43 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t44 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t45 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t46 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t47 — 已完成 +[2026-06-30 17:28:07] [SKIP] dam_break/t48 — 已完成 +[2026-06-30 17:28:07] [SKIP] dam_break/t49 — 已完成 +[2026-06-30 17:28:07] +[2026-06-30 17:28:07] --- dam_break 完成 --- +[2026-06-30 17:28:07] 成功: 0 | 失败: 0 | 跳过: 49 +[2026-06-30 17:28:07] 耗时: 0 分钟 +[2026-06-30 17:28:07] +[2026-06-30 17:28:07] ========================================================= +[2026-06-30 17:28:07] Case 类型: rising_bubble +[2026-06-30 17:28:07] ========================================================= +[2026-06-30 17:28:07] [SKIP] rising_bubble/t01 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t02 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t03 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t04 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t05 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t06 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t07 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t08 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t09 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t10 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t11 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t12 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t13 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t14 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t15 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t16 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t17 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t18 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t19 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t20 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t21 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t22 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t23 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t24 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t25 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t26 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t27 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t28 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t29 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t30 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t31 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t32 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t33 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t34 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t35 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t36 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t37 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t38 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t39 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t40 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t41 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t42 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t43 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t44 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t45 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t46 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t47 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t48 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t49 — 已完成 +[2026-06-30 17:28:09] +[2026-06-30 17:28:09] --- rising_bubble 完成 --- +[2026-06-30 17:28:09] 成功: 0 | 失败: 0 | 跳过: 49 +[2026-06-30 17:28:09] 耗时: 0 分钟 +[2026-06-30 17:28:09] +[2026-06-30 17:28:09] ========================================================= +[2026-06-30 17:28:09] Case 类型: stokes_wave +[2026-06-30 17:28:09] ========================================================= +[2026-06-30 17:28:09] [SKIP] stokes_wave/t01 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t02 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t03 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t04 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t05 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t06 — 已完成 +[2026-06-30 17:28:09] [START] stokes_wave/t07 diff --git a/scripts/batch_screen.log b/scripts/batch_screen.log new file mode 100644 index 0000000000000000000000000000000000000000..d3596fa8157956baf4d57def2aa9c67d6dbb46f2 --- /dev/null +++ b/scripts/batch_screen.log @@ -0,0 +1,141 @@ +[DEBUG] batch_run.sh started, args: --case-types dam_break rising_bubble stokes_wave droplet_impact --start 1 --end 49 --ncpu 16 --skip-existing --clean-processors +[DEBUG] 参数解析完成: CASE_TYPES=dam_break rising_bubble stokes_wave droplet_impact START=1 END=49 +[DEBUG] OpenFOAM bashrc 已加载 +[INFO] OpenFOAM 环境就绪: WM_PROJECT_DIR=/usr/share/openfoam +[DEBUG] BATCH_LOG=/mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260630T172804.log +[2026-06-30 17:28:04] ========================================= +[2026-06-30 17:28:04] OpenFOAM 批量运行 +[2026-06-30 17:28:04] ========================================= +[2026-06-30 17:28:04] 数据目录: /mnt/f/agent-workspace/paper2/Exp/data/raw +[2026-06-30 17:28:04] Case 类型: dam_break rising_bubble stokes_wave droplet_impact +[2026-06-30 17:28:04] 轨迹范围: t01 — t49 +[2026-06-30 17:28:04] MPI 进程数: 16 +[2026-06-30 17:28:04] 跳过已完成: true +[2026-06-30 17:28:04] 清理 processor 目录: true +[2026-06-30 17:28:04] 日志文件: /mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_20260630T172804.log +[2026-06-30 17:28:04] ========================================= +[2026-06-30 17:28:04] +[2026-06-30 17:28:04] ========================================================= +[2026-06-30 17:28:04] Case 类型: dam_break +[2026-06-30 17:28:04] ========================================================= +[2026-06-30 17:28:04] [SKIP] dam_break/t01 — 已完成 +[2026-06-30 17:28:04] [SKIP] dam_break/t02 — 已完成 +[2026-06-30 17:28:04] [SKIP] dam_break/t03 — 已完成 +[2026-06-30 17:28:04] [SKIP] dam_break/t04 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t05 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t06 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t07 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t08 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t09 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t10 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t11 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t12 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t13 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t14 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t15 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t16 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t17 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t18 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t19 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t20 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t21 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t22 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t23 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t24 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t25 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t26 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t27 — 已完成 +[2026-06-30 17:28:05] [SKIP] dam_break/t28 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t29 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t30 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t31 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t32 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t33 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t34 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t35 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t36 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t37 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t38 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t39 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t40 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t41 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t42 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t43 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t44 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t45 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t46 — 已完成 +[2026-06-30 17:28:06] [SKIP] dam_break/t47 — 已完成 +[2026-06-30 17:28:07] [SKIP] dam_break/t48 — 已完成 +[2026-06-30 17:28:07] [SKIP] dam_break/t49 — 已完成 +[2026-06-30 17:28:07] +[2026-06-30 17:28:07] --- dam_break 完成 --- +[2026-06-30 17:28:07] 成功: 0 | 失败: 0 | 跳过: 49 +[2026-06-30 17:28:07] 耗时: 0 分钟 +[2026-06-30 17:28:07] +[2026-06-30 17:28:07] ========================================================= +[2026-06-30 17:28:07] Case 类型: rising_bubble +[2026-06-30 17:28:07] ========================================================= +[2026-06-30 17:28:07] [SKIP] rising_bubble/t01 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t02 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t03 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t04 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t05 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t06 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t07 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t08 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t09 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t10 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t11 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t12 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t13 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t14 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t15 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t16 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t17 — 已完成 +[2026-06-30 17:28:07] [SKIP] rising_bubble/t18 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t19 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t20 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t21 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t22 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t23 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t24 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t25 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t26 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t27 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t28 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t29 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t30 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t31 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t32 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t33 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t34 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t35 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t36 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t37 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t38 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t39 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t40 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t41 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t42 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t43 — 已完成 +[2026-06-30 17:28:08] [SKIP] rising_bubble/t44 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t45 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t46 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t47 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t48 — 已完成 +[2026-06-30 17:28:09] [SKIP] rising_bubble/t49 — 已完成 +[2026-06-30 17:28:09] +[2026-06-30 17:28:09] --- rising_bubble 完成 --- +[2026-06-30 17:28:09] 成功: 0 | 失败: 0 | 跳过: 49 +[2026-06-30 17:28:09] 耗时: 0 分钟 +[2026-06-30 17:28:09] +[2026-06-30 17:28:09] ========================================================= +[2026-06-30 17:28:09] Case 类型: stokes_wave +[2026-06-30 17:28:09] ========================================================= +[2026-06-30 17:28:09] [SKIP] stokes_wave/t01 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t02 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t03 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t04 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t05 — 已完成 +[2026-06-30 17:28:09] [SKIP] stokes_wave/t06 — 已完成 +[2026-06-30 17:28:09] [START] stokes_wave/t07 diff --git a/scripts/check_ic.py b/scripts/check_ic.py new file mode 100644 index 0000000000000000000000000000000000000000..bca2b8f6e153b6a9b8debda734caf5d04fb53349 --- /dev/null +++ b/scripts/check_ic.py @@ -0,0 +1,59 @@ +import re, numpy as np + +def read_foam_scalar(path): + with open(path) as f: + content = f.read() + m = re.search(r'List\s+(\d+)', content) + if not m: return None, 0 + n = int(m.group(1)) + start = content.find('(', m.end()) + 1 + end = content.find(')', start) + vals = np.array([float(x) for x in content[start:end].split()]) + return vals, n + +cases = [ + ("rising_bubble", "t00", 128, 256, 1.0, 2.0), + ("droplet_impact", "t00", 256, 256, 0.025, 0.025), + ("dam_break", "t00", 128, 128, 0.584, 0.584), +] + +for case, t, nx, ny, Lx, Ly in cases: + path = f"/home/alanz/openfoam-workspace/output/data/{case}/{t}/0/alpha.water" + vals, n = read_foam_scalar(path) + if vals is None: + print(f"{case}: FAILED to read") + continue + # OpenFOAM x-fastest: idx = i + j*nx, so reshape to (ny, nx) + # np.where returns (row_idx, col_idx) = (y_idx, x_idx) + arr = vals.reshape(ny, nx) + + if case == "rising_bubble": + region = arr < 0.5 # bubble is alpha=0 + label = "bubble" + elif case == "droplet_impact": + region = arr > 0.5 # droplet is alpha=1 + label = "droplet" + else: + region = arr > 0.5 # water column is alpha=1 + label = "water" + + if region.sum() > 0: + y_idx, x_idx = np.where(region) + r_eq = np.sqrt(region.sum() / np.pi) + dx = Lx / nx + dy = Ly / ny + # Cell center coordinates (0.5 offset for center of cell) + cx_phys = (x_idx.mean() + 0.5) * dx + cy_phys = (y_idx.mean() + 0.5) * dy + r_phys = r_eq * dx # isotropic: dx == dy for these cases + print(f"{case}: {label}") + print(f" cells={region.sum()}, r_eq={r_eq:.1f} cells ({r_phys*1000:.2f}mm)") + print(f" center=({cx_phys*1000:.2f}mm, {cy_phys*1000:.2f}mm)") + print(f" domain={Lx*1000:.1f}x{Ly*1000:.1f}mm, dx=dy={dx*1000:.4f}mm") + print(f" x_cells=[{x_idx.min()},{x_idx.max()}], y_cells=[{y_idx.min()},{y_idx.max()}]") + # Shape aspect ratio + span_x = (x_idx.max() - x_idx.min() + 1) + span_y = (y_idx.max() - y_idx.min() + 1) + print(f" span=({span_x},{span_y}) cells, aspect={span_x/span_y:.2f}") + else: + print(f"{case}: NO {label} region found") diff --git a/scripts/clean_raw.py b/scripts/clean_raw.py new file mode 100644 index 0000000000000000000000000000000000000000..13663680cb32679421ee92db2c30a8eb06b1a98d --- /dev/null +++ b/scripts/clean_raw.py @@ -0,0 +1,31 @@ +#!/usr/bin/env python3 +"""清理 raw/ 下所有 case 的中间时间步、log、processor、postProcessing， +只保留 0/ constant/ system/ Allrun Allclean（初始条件和配置）""" +import os, shutil + +raw = '/mnt/f/agent-workspace/paper2/Exp/data/raw' +keep = {'0', 'constant', 'system', 'Allrun', 'Allclean'} +total_removed = 0 + +for ct in sorted(os.listdir(raw)): + ct_dir = os.path.join(raw, ct) + if not os.path.isdir(ct_dir): + continue + for case in sorted(os.listdir(ct_dir)): + case_dir = os.path.join(ct_dir, case) + if not os.path.isdir(case_dir): + continue + for entry in os.listdir(case_dir): + if entry in keep: + continue + path = os.path.join(case_dir, entry) + try: + if os.path.isdir(path): + shutil.rmtree(path) + else: + os.remove(path) + total_removed += 1 + except Exception as e: + print(f' WARN: {path}: {e}') + +print(f'Cleaned {total_removed} entries from {raw}') diff --git a/scripts/clean_stokes.py b/scripts/clean_stokes.py new file mode 100644 index 0000000000000000000000000000000000000000..e7fee5496d443c12512d3b7cc136d5374ec8b535 --- /dev/null +++ b/scripts/clean_stokes.py @@ -0,0 +1,27 @@ +#!/usr/bin/env python3 +"""清理 stokes_wave 的 processor 目录和旧时间步""" +import os, shutil, subprocess + +raw = '/mnt/f/agent-workspace/paper2/Exp/data/raw/stokes_wave' +for d in sorted(os.listdir(raw)): + if not d.startswith('t'): + continue + case_dir = os.path.join(raw, d) + # 清理 processor 目录 + for e in os.listdir(case_dir): + if e.startswith('processor'): + path = os.path.join(case_dir, e) + subprocess.run(['rm', '-rf', path], check=False) + # 清理非0时间步 + for e in os.listdir(case_dir): + if e.replace('.', '').isdigit() and e != '0': + path = os.path.join(case_dir, e) + if os.path.isdir(path): + shutil.rmtree(path, ignore_errors=True) + else: + os.remove(path) + # 清空 log + log = os.path.join(case_dir, 'log.interFoam') + if os.path.isfile(log): + open(log, 'w').write('') +print('Cleaned stokes_wave cases') diff --git a/scripts/cleanup.log b/scripts/cleanup.log new file mode 100644 index 0000000000000000000000000000000000000000..aed89ae913f8a3f0e9267ec71e378645a5c56a6d --- /dev/null +++ b/scripts/cleanup.log @@ -0,0 +1,119 @@ +[2026-07-01 21:17:41] ========================================= +[2026-07-01 21:17:41] 清理 stokes_wave processor 目录 +[2026-07-01 21:17:41] ========================================= +[2026-07-01 21:17:41] [CLEAN] t00 — 删除 processor* +[2026-07-01 21:51:52] [DONE] t00 +[2026-07-01 21:51:52] [SKIP] t01 — 无 processor 目录 +[2026-07-01 21:51:52] [SKIP] t02 — 无 processor 目录 +[2026-07-01 21:51:52] [SKIP] t03 — 无 processor 目录 +[2026-07-01 21:51:52] [SKIP] t04 — 无 processor 目录 +[2026-07-01 21:51:52] [SKIP] t05 — 无 processor 目录 +[2026-07-01 21:51:52] [SKIP] t06 — 无 processor 目录 +[2026-07-01 21:51:52] [SKIP] t07 — 无 processor 目录 +[2026-07-01 21:51:52] [SKIP] t08 — 无 processor 目录 +[2026-07-01 21:51:52] [CLEAN] t09 — 删除 processor* +[2026-07-01 22:44:55] [DONE] t09 +[2026-07-01 22:44:55] [CLEAN] t10 — 删除 processor* +[2026-07-01 23:38:02] [DONE] t10 +[2026-07-01 23:38:02] [CLEAN] t11 — 删除 processor* +[2026-07-02 00:27:29] [DONE] t11 +[2026-07-02 00:27:29] [CLEAN] t12 — 删除 processor* +[2026-07-02 01:17:25] [DONE] t12 +[2026-07-02 01:17:25] [CLEAN] t13 — 删除 processor* +[2026-07-02 02:03:04] [DONE] t13 +[2026-07-02 02:03:04] [CLEAN] t14 — 删除 processor* +[2026-07-02 02:52:20] [DONE] t14 +[2026-07-02 02:52:22] [CLEAN] t15 — 删除 processor* +[2026-07-02 03:36:54] [DONE] t15 +[2026-07-02 03:36:54] [CLEAN] t16 — 删除 processor* +[2026-07-02 04:26:32] [DONE] t16 +[2026-07-02 04:26:32] [CLEAN] t17 — 删除 processor* +[2026-07-02 05:11:24] [DONE] t17 +[2026-07-02 05:11:25] [CLEAN] t18 — 删除 processor* +[2026-07-02 05:57:21] [DONE] t18 +[2026-07-02 05:57:22] [CLEAN] t19 — 删除 processor* +[2026-07-02 06:42:12] [DONE] t19 +[2026-07-02 06:42:13] [CLEAN] t20 — 删除 processor* +[2026-07-02 07:24:29] [DONE] t20 +[2026-07-02 07:24:29] [CLEAN] t21 — 删除 processor* +[2026-07-02 08:13:16] [DONE] t21 +[2026-07-02 08:13:17] [CLEAN] t22 — 删除 processor* +[2026-07-02 08:58:13] [DONE] t22 +[2026-07-02 08:58:13] [CLEAN] t23 — 删除 processor* +[2026-07-02 09:43:57] [DONE] t23 +[2026-07-02 09:43:57] [CLEAN] t24 — 删除 processor* +[2026-07-02 10:38:29] [DONE] t24 +[2026-07-02 10:38:32] [CLEAN] t25 — 删除 processor* +[2026-07-02 11:33:45] [DONE] t25 +[2026-07-02 11:33:45] [CLEAN] t26 — 删除 processor* +[2026-07-02 12:18:23] [DONE] t26 +[2026-07-02 12:18:23] [CLEAN] t27 — 删除 processor* +[2026-07-02 12:18:25] [DONE] t27 +[2026-07-02 12:18:25] [CLEAN] t28 — 删除 processor* +[2026-07-02 12:18:27] [DONE] t28 +[2026-07-02 12:18:27] [CLEAN] t29 — 删除 processor* +[2026-07-02 13:41:29] ========================================= +[2026-07-02 13:41:29] 清理 stokes_wave processor 目录 +[2026-07-02 13:41:29] ========================================= +[2026-07-02 13:41:30] [SKIP] t00 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t01 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t02 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t03 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t04 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t05 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t06 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t07 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t08 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t09 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t10 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t11 — 无 processor 目录 +[2026-07-02 13:41:30] [SKIP] t12 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t13 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t14 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t15 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t16 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t17 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t18 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t19 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t20 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t21 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t22 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t23 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t24 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t25 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t26 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t27 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t28 — 无 processor 目录 +[2026-07-02 13:41:31] [SKIP] t29 — 无 processor 目录 +[2026-07-02 13:41:32] [CLEAN] t30 — 删除 processor* +[2026-07-02 14:25:45] [DONE] t30 +[2026-07-02 14:25:45] [CLEAN] t31 — 删除 processor* +[2026-07-02 15:08:58] [DONE] t31 +[2026-07-02 15:08:58] [CLEAN] t32 — 删除 processor* +[2026-07-02 15:51:39] [DONE] t32 +[2026-07-02 15:51:39] [CLEAN] t33 — 删除 processor* +[2026-07-02 16:47:43] [DONE] t33 +[2026-07-02 16:47:44] [CLEAN] t34 — 删除 processor* +[2026-07-02 17:31:13] [DONE] t34 +[2026-07-02 17:31:13] [CLEAN] t35 — 删除 processor* +[2026-07-02 17:52:22] [DONE] t35 +[2026-07-02 17:52:22] [SKIP] t36 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t37 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t38 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t39 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t40 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t41 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t42 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t43 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t44 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t45 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t46 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t47 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t48 — 无 processor 目录 +[2026-07-02 17:52:22] [SKIP] t49 — 无 processor 目录 +[2026-07-02 17:52:22] ========================================= +[2026-07-02 17:52:22] 清理完成 +[2026-07-02 17:52:22] ========================================= +[2026-07-02 17:52:22] 磁盘使用: +Filesystem Size Used Avail Use% Mounted on +F:\ 3.7T 3.3T 385G 90% /mnt/f diff --git a/scripts/data_trans/openfoam_dataload.py b/scripts/data_trans/openfoam_dataload.py new file mode 100644 index 0000000000000000000000000000000000000000..ee7b5d68296b233bbf01551ffa5f8e5204d58f7a --- /dev/null +++ b/scripts/data_trans/openfoam_dataload.py @@ -0,0 +1,1960 @@ +""" +OpenFOAM 数据加载模块 +---------------------- +实现 Dataset 和 DataLoader 类，用于将 OpenFOAM 仿真数据转换为结构化张量，供神经网络训练使用。（另有可视化静态方法） + +DATASET 输出 (单个样本) + fields_list = [field_dict_t0, field_dict_t1, ..., field_dict_t{S-1}] # S = number_of_steps_to_get + field_dict_tk = { + 'Ux' : (Ny, Nx) + 'Uy' : (Ny, Nx) + 'p' : (Ny, Nx) + 'xGrid': (Ny, Nx) + 'yGrid': (Ny, Nx) + 'mask' : (Ny, Nx) + } + infos_list = [info_dict_t0, info_dict_t1, ..., info_dict_t{S-1}] + info_dict_tk = { + 'dt' : float + 'dt_simulation': float + 'time' : float + 'fluid' : { 'rho': float, 'mu': float, 'nu': float, 'Re': float } + 'geometry' : { 'structure_length_y': float, + 'structure_length_x': float, + 'bbox': (4,) } + 'solid_velocity': (vector_dim,) + 'boundary' : dict + } + +DataLoader 批次输出（同名变量） + fields_seq = [batch_field_dict_t0, batch_field_dict_t1, ..., batch_field_dict_t{S-1}] + batch_field_dict_tk = { + key: torch.Tensor (B, C, Ny, Nx) # C=1 for scalar fields + } # 张量位于 Dataset 指定的 device，上层代码可直接送入 CNN + infos_seq = [batch_info_dict_t0, batch_info_dict_t1, ..., batch_info_dict_t{S-1}] + batch_info_dict_tk = { + 'dt' : torch.Tensor (B, 1) 设备 = Dataset 指定 device + 'dt_simulation': torch.Tensor (B, 1) 设备 = CPU + 'time' : torch.Tensor (B, 1) 设备 = CPU + 'fluid' : { 同名键 -> torch.Tensor (B, 1) 设备 = CPU } + 'geometry' : { 'bbox': torch.Tensor (B, 4), + 其它键 -> torch.Tensor (B, 1) 设备 = CPU } + 'solid_velocity': torch.Tensor (B, vector_dim) 设备 = CPU + 'boundary' : list[dict] (dict 保留 Dataset 一致的原始结构) + } + +NOTE + 场的张量的维度：(B, C, H or Ny, W or Nx) + dataloader/dataset给的是一个列表，每个元素是一个时间步的数据（所需的时间步数由属性self._number_of_steps_to_get控制） + 场的张量数据的i方向(H)和j方向(W)分别对应物理场的-y和x方向 + bbox的格式为(xmin,ymin,xmax,ymax) + Re = rho*v*d/mu = v*d/nu + 注意p在OpenFOAM场文件中的单位是m^2/s^2(即此处实则为p/rho) + 推荐使用: create_dataloader_cat (ConcatDatasetsWrapper), 可以同时加载多个数据集并作为一个整体进行训练 + +TODO + 流线图获取方法（参考phiflow库的stream lines绘制，如from phi.vis import plot） + +""" + +import os +import re +import shutil +import numpy as np +import warnings +import random +from collections.abc import Sequence +try: + import torch + from torch.utils.data import Dataset, DataLoader + HAVE_TORCH = True +except Exception: + torch = None + HAVE_TORCH = False + # minimal stand-ins so class definition still works when torch absent + class Dataset(object): + pass + class DataLoader(object): + pass +import matplotlib.pyplot as plt +from matplotlib.collections import LineCollection +from matplotlib.colors import Normalize +import subprocess +try: + from scipy.interpolate import RegularGridInterpolator + HAVE_SCIPY_INTERP = True +except Exception: + RegularGridInterpolator = None + HAVE_SCIPY_INTERP = False + + +def _to_numpy(array): + if HAVE_TORCH and isinstance(array, torch.Tensor): + return array.detach().cpu().numpy() + return np.asarray(array) + + +class OpenfoamDataset(Dataset): + def __init__(self, root_dir, number_of_steps_to_get=2, + vector_field='U', scalar_field='p', + vector_dim=2, vector_keep_dims=None, + device='cpu', # ✅ NOTE 建议使用cpu模式(在训练循环中手动to(device)), 因为 dataloader 启用 pin-memory 时要求 CPU tensor + dtype=None, coord_digits=8): + """ + root_dir: OpenFOAM case 目录（包含 0, 1, 2... 等时间步文件夹） + number_of_steps_to_get: 每个样本连续采样的时间步数量（默认 2） + vector_field: 速度场名（如 'U'） + scalar_field: 压力场名（如 'p'） + vector_dim: 速度场维度（2 或 3） + vector_keep_dims: 需要保留的速度分量索引列表，例如 ``[0, 1]`` 表示仅取 x/y 分量，``None`` 时默认取 ``range(min(2, vector_dim))`` + device: torch 设备 + dtype: torch 数据类型 + coord_digits: 构建结构化网格时对坐标取 round 的小数位数，避免由浮点误差导致的索引错配 + """ + # 流体网格点数量与时间步数量（会在实例化时更新） + self.n_fluid_points = 0 + self.n_time_steps = 0 + + self.root_dir = root_dir + self._number_of_steps_to_get = number_of_steps_to_get + self.vector_field = vector_field + self.scalar_field = scalar_field + self.vector_dim = vector_dim + # vector_keep_dims: which components to keep from vector fields (e.g. [0,1] -> x,y) + if vector_keep_dims is None: + self.vector_keep_dims = list(range(min(2, vector_dim))) + else: + self.vector_keep_dims = list(vector_keep_dims) + self.device = device + # dtype 决定在 runtime，如果 torch 可用则默认 torch.float32 + if HAVE_TORCH: + self.dtype = dtype if dtype is not None else torch.float32 + else: + self.dtype = None + # 坐标舍入精度（用于索引匹配） + self.coord_digits = coord_digits + self.time_dirs = self._find_time_dirs() + self.fluid_info = self._load_fluid_info() + # 以第一个时间步的C文件为网格中心 + self.grid_points, self.Nx, self.Ny, self.xs, self.ys = self._load_structured_grid() + # 更新类属性（实例级信息）: n_fluid_points = Nx * Ny, n_time_steps = len(time_dirs) + try: + self.n_fluid_points = int(self.Nx * self.Ny) + except Exception: + self.n_fluid_points = 0 + self.n_time_steps = len(self.time_dirs) + + # check len + if self._number_of_steps_to_get <= 0: + raise ValueError('number_of_steps_to_get must be a positive integer.') + if self.__len__() <= 0: + raise ValueError('Dataset is empty, or number_of_steps_to_get is larger than available time steps.') + + def _find_time_dirs(self): + # 查找所有时间步文件夹（数字命名），若当前目录本身就是时间步（如0/1/2），则返回['.'] + dirs = [d for d in os.listdir(self.root_dir) if d.isdigit()] + if not dirs: + # 当前目录本身就是单一时间步 + return ['.'] + dirs = sorted(dirs, key=lambda x: float(x)) + return dirs + + def _load_structured_grid(self): + # 用C文件（网格中心）定义结构化网格 + first_time = self._find_time_dirs()[0] + if first_time == '.': + c_path = os.path.join(self.root_dir, 'C') + else: + c_path = os.path.join(self.root_dir, first_time, 'C') + # 读取 C 文件为 point list (n, n_dim) + # 先尝试读取 header 中声明的数量并保存到类属性 + declared_n = self._parse_internal_list_count(c_path) or 0 + if declared_n > 0: + self.n_fluid_points = int(declared_n) + c_arr = np.array(self._read_field(c_path, vector=True)) + # 保证只取 x,y 或者用户指定的分量 + if c_arr.ndim == 1: + c_arr = c_arr.reshape(-1, 1) + if c_arr.shape[1] >= max(self.vector_keep_dims) + 1: + c_arr = c_arr[:, self.vector_keep_dims] + # 只保留前两列作为 x,y（如果用户只保留了一维也兼容） + if c_arr.shape[1] >= 2: + c_arr = c_arr[:, :2] + xs = np.unique(np.round(c_arr[:,0], self.coord_digits)) + ys = np.unique(np.round(c_arr[:,1], self.coord_digits)) + # 我们的张量约定：i 方向对应 -y（从上到下），j 方向对应 x（从左到右） + # 因此让 i 对应于 ys 的降序索引 + ys_desc = ys[::-1] + Nx = len(ys_desc) # number of i (rows) + Ny = len(xs) # number of j (cols) + # 生成结构化网格点 (Nx, Ny, 2) + grid_points = np.zeros((Nx, Ny, 2)) + for i, y in enumerate(ys_desc): + for j, x in enumerate(xs): + grid_points[i, j, 0] = x + grid_points[i, j, 1] = y + # 返回时仍然给出原始 xs, ys（xs 升序，ys 升序）以便上层使用 + return grid_points, Nx, Ny, xs, ys + + def _parse_internal_list_count(self, path): + # 从文件中解析 nonuniform List<...> 后面的数量（用于 uniform 时推断点数） + if not os.path.exists(path): + return None + with open(path, 'r') as f: + txt = f.read() + m = re.search(r'internalField\s+nonuniform\s+List<[^>]+>\s+(\d+)', txt) + if m: + return int(m.group(1)) + return None + + def _read_field(self, path, vector=True): + """ + 解析 OpenFOAM 字段文件的 internalField 区块。 + 支持 nonuniform List 和 uniform(...) + 返回 numpy 数组：vector -> (N, k), scalar -> (N,) + 若 header 中声明的数量与实际解析行数不一致，会抛出 RuntimeError。 + """ + if not os.path.exists(path): + raise FileNotFoundError(f"未找到字段文件: {path}") + with open(path, 'r') as f: + content = f.read() + + # nonuniform List 区块优先：header 可能是两行（类型/数量换行），随后是括号包裹的列表 + m_head = re.search(r'internalField\s+nonuniform\s+List<(vector|scalar)>\s*(\d+)', content) + if m_head: + ftype = m_head.group(1) + n_decl = int(m_head.group(2)) + # 更稳健地提取括号块：匹配单独一行的 '(' 和相应的 ')'（DOTALL + MULTILINE） + # 首先尝试匹配 ( ... ) ; 这种情况，确保 ) 后面紧跟 ; 或随后的换行再是 ; + m_block = re.search(r"\(\s*\n(.*?)\n\s*\)\s*;", content[m_head.end():], re.DOTALL | re.MULTILINE) + if not m_block: + # 回退到查找从 '(' 到紧接着的 ')' 并可能后接 ';' 的区域 + start_pos = content.find('(', m_head.end()) + if start_pos == -1: + raise ValueError(f"无法解析 nonuniform List 块（缺失 '('）: {path}") + # 找到第一个单独的行起始的 ')' 后面跟着可选空白与 ';' + # 为保险，查找 pattern '\n)\s*;' + rel = content[m_head.end():] + m_end = re.search(r"\n\s*\)\s*;", rel) + if m_end: + end_pos = m_head.end() + m_end.start() + block = content[start_pos+1:end_pos].strip() + else: + # 最后回退到最近的 ')' 之前 + end_pos = content.rfind(')') + if end_pos == -1: + raise ValueError(f"无法解析 nonuniform List 块（缺失 ')'）: {path}") + block = content[start_pos+1:end_pos].strip() + else: + block = m_block.group(1).strip() + lines = [ln.strip() for ln in block.splitlines() if ln.strip()] + if len(lines) != n_decl: + # 这里仍旧发出警告，但我们将使用 header 中的 n_decl 作为 n_fluid_points + warnings.warn(f"文件 {os.path.basename(path)} 声明 {n_decl} 个 internalField 条目，但解析到 {len(lines)} 行。将以解析到的 {len(lines)} 行为准。", RuntimeWarning) + if ftype == 'vector': + arr = [] + for ln in lines: + nums = re.findall(r'[-+]?\d*\.?\d+(?:[eE][-+]?\d+)?', ln) + arr.append([float(x) for x in nums]) + arr = np.array(arr) + # 截取用户指定分量 + if arr.ndim == 2 and len(self.vector_keep_dims) > 0: + max_idx = max(self.vector_keep_dims) + if arr.shape[1] > max_idx: + arr = arr[:, self.vector_keep_dims] + # 当这是 C 文件（vector 且对象名为 C）时，我们希望记录 header 中的点数作为 n_fluid_points + return arr + else: + vals = [] + for ln in lines: + m = re.search(r'[-+]?\d*\.?\d+(?:[eE][-+]?\d+)?', ln) + vals.append(float(m.group(0)) if m else 0.0) + return np.array(vals) + + # uniform 情形：匹配 internalField uniform ... ;（值可以是 0 或者 (a b c)） + m_uni = re.search(r'internalField\s+uniform\s*(.*?);', content, re.DOTALL) + if m_uni: + token = m_uni.group(1).strip() + # token 可能是 '0' 或者 '(0)' 或 '(0 0 0)' + if token.startswith('(') and token.endswith(')'): + inner = token[1:-1].strip() + items = inner.split() + else: + items = token.split() + nums = [] + for it in items: + try: + nums.append(float(it)) + except Exception: + # 如果无法转换，跳过 + pass + # 尝试从 C 文件推断点数 + first_time = self.time_dirs[0] + if first_time == '.': + c_path = os.path.join(self.root_dir, 'C') + else: + c_path = os.path.join(self.root_dir, first_time, 'C') + npts = self._parse_internal_list_count(c_path) or 1 + if vector: + vec = np.array(nums) + if vec.size == 0: + vec = np.zeros((1,)) + # 截取感兴趣分量 + if len(vec) > 0 and len(self.vector_keep_dims) > 0: + max_idx = max(self.vector_keep_dims) + if vec.size > max_idx: + vec = vec[self.vector_keep_dims] + arr = np.tile(vec.reshape(1, -1), (npts, 1)) + return arr + else: + val = nums[0] if len(nums) > 0 else 0.0 + return np.full((npts,), val) + + raise ValueError(f"无法解析 internalField: {path}") + + def _load_fluid_info(self): + # 从 system/transportProperties 文件中提取物性参数或其他标识（例如 rho, mu, nu, Re） + # 默认 rho = 1.0（若文件中未找到则使用默认） + rho, mu, nu = 1.0, None, None + Re_val = None + # search both constant/ and system/ directories (transportProperties often lives in constant/) + files = [] + for dname in ['constant', 'system', '']: + dpath = os.path.join(self.root_dir, dname) if dname else self.root_dir + if os.path.exists(dpath) and os.path.isdir(dpath): + tp = os.path.join(dpath, 'transportProperties') + if os.path.exists(tp) and os.path.isfile(tp): + files.append(tp) + # also scan other files in this dir for Re-like comments/values + for fname in os.listdir(dpath): + p = os.path.join(dpath, fname) + if os.path.isfile(p) and p not in files: + files.append(p) + + for p in files: + try: + txt = open(p, 'r', encoding='utf-8', errors='ignore').read() + except Exception: + continue + # 查找 Re 或 Re_blockage（注释里也可能出现） + m_re = re.search(r'\bRe_blockage\b\s*(?:=|:)\s*([0-9eE+\-.]+)', txt) + if not m_re: + m_re = re.search(r'\bRe\b\s*(?:=|:)\s*([0-9eE+\-.]+)', txt) + if m_re: + try: + Re_val = float(m_re.group(1)) + except Exception: + Re_val = None + # 查找 nu，兼容 transportProperties 中的形式：nu [units] 5e-3; 或 nu 5e-3; + m_nu = re.search(r'\bnu\b\s*(?:\[.*?\])?\s*([0-9eE+\-.]+)', txt) + if not m_nu: + m_nu = re.search(r'kinematicViscosity\s*([0-9eE+\-.]+)', txt) + if m_nu: + try: + nu = float(m_nu.group(1)) + except Exception: + nu = None + # mu, rho：transportProperties 中可能以 mu 或 rho 名义出现 + m_mu = re.search(r'\bmu\b\s*(?:[\[\(].*?[\]\)])?\s*([0-9eE+\-.]+)', txt) + if m_mu: + try: + mu = float(m_mu.group(1)) + except Exception: + pass + m_rho = re.search(r'\brho\b\s*(?:[\[\(].*?[\]\)])?\s*([0-9eE+\-.]+)', txt) + if m_rho: + try: + rho = float(m_rho.group(1)) + except Exception: + pass + # 如果未找到，则尝试计算，实在无数据，则使用默认 1.0 填充 + if rho is None: + rho = 1.0 + if mu is None: + # 尝试用 rho*nu 计算 + try: + mu = float(rho) * float(nu) + except Exception: + mu = 1.0 + if nu is None: + # 尝试用 mu/rho 计算 + try: + nu = float(mu) / float(rho) if rho != 0 else 1.0 + except Exception: + nu = 1.0 + + info = {'rho': rho, 'mu': mu, 'nu': nu} + # 统一使用 'Re' 键；如果在文件中找到 Re 或 Re_blockage，则写入 + if Re_val is not None: + try: + info['Re'] = float(Re_val) + except Exception: + info['Re'] = None + else: + info['Re'] = None + return info + + def parse_solid_velocity(self, *args, **kwargs): + """占位函数：未来用于解析固体速度，目前返回全零（自适应维度）。""" + return tuple([0.0] * self.vector_dim) + + def _parse_inlet_velocity(self, u_path): + """尝试从 U 文件的 boundaryField 中解析 inlet 的 value（向量）。返回 None 或长度为 self.vector_dim 的 tuple。""" + if not os.path.exists(u_path): + return None + try: + txt = open(u_path, 'r', encoding='utf-8', errors='ignore').read() + except Exception: + return None + # 更稳健地提取 boundaryField 块（处理嵌套花括号） + def _extract_brace_block(s, start_idx): + # start_idx 指向 '{' + depth = 0 + for i in range(start_idx, len(s)): + if s[i] == '{': + depth += 1 + elif s[i] == '}': + depth -= 1 + if depth == 0: + return s[start_idx+1:i], i + return None, None + + m_bf = re.search(r'boundaryField\s*\{', txt) + if not m_bf: + return None + bf_start = m_bf.end() - 1 + bf_block, bf_end = _extract_brace_block(txt, bf_start) + if bf_block is None: + return None + + # 在 boundaryField 块中寻找以 'inlet' 为 patch 名或包含 'inlet' 的块，提取其 value 字段 + # 更简单的做法：在 bf_block 中按块级别查找包含 'inlet' 关键字的子块并使用其 value + inlet_block = None + for m in re.finditer(r'([A-Za-z0-9_\-]+)\s*\{', bf_block): + name = m.group(1) + # 如果名字包含 inlet（更宽松匹配），提取该块 + if 'inlet' in name.lower(): + global_pos = bf_start + 1 + m.start() + brace_pos = txt.find('{', global_pos) + if brace_pos != -1: + blk, _ = _extract_brace_block(txt, brace_pos) + inlet_block = blk + break + if inlet_block is None: + # 无明确 patch 名含 inlet，则在 boundaryField 中寻找第一个包含 value 且类型为 fixedValue 的 patch + m_any = re.search(r'([A-Za-z0-9_\-]+)\s*\{', bf_block) + if m_any: + global_pos = bf_start + 1 + m_any.start() + brace_pos = txt.find('{', global_pos) + if brace_pos != -1: + blk, _ = _extract_brace_block(txt, brace_pos) + inlet_block = blk + if not inlet_block: + return None + + # 在 inlet_block 中寻找 value 字段 + m_val = re.search(r'value\s+(?:uniform\s*)?\(?\s*([\-+0-9eE\.\s]+)\s*\)?\s*;', inlet_block) + if not m_val: + return None + nums = re.findall(r'[-+]?\d*\.?\d+(?:[eE][-+]?\d+)?', m_val.group(1)) + try: + vals = [float(x) for x in nums] + if len(vals) < self.vector_dim: + vals += [0.0] * (self.vector_dim - len(vals)) + # 返回时只保留 value（不要返回 patch 名称，避免把 outlet 等误识别带入上层） + return {'value': tuple(vals[:self.vector_dim])} + except Exception: + return None + + def _compute_structure_length(self, mask, xGrid, yGrid): + """基于固体掩码计算结构物的纵向长度：掩码中 0 表示固体、1 表示流体。 + 返回沿 y 方向的跨度（也返回 x/y 的 bbox）。若没有固体则返回 0。 + 说明：这里假设 "纵向" 是垂直方向（y）；如需改为流向，请告知。 + """ + try: + arr_mask = np.asarray(mask) + if arr_mask.dtype == bool: + solid_mask = ~arr_mask + else: + solid_mask = arr_mask < 0.5 + + if not np.any(solid_mask): + return 0.0, 0.0, None + + x_coords = np.asarray(xGrid)[solid_mask] + y_coords = np.asarray(yGrid)[solid_mask] + if x_coords.size == 0 or y_coords.size == 0: + return 0.0, 0.0, None + + xmin = float(np.min(x_coords)) + xmax = float(np.max(x_coords)) + ymin = float(np.min(y_coords)) + ymax = float(np.max(y_coords)) + + x_span = float(xmax - xmin) + y_span = float(ymax - ymin) + # return bbox in (xmin, ymin, xmax, ymax) order + bbox = (xmin, ymin, xmax, ymax) + return y_span, x_span, bbox + except Exception: + return 0.0, 0.0, None + + def _get_dt(self, case_dir): + """ + 尝试读取 case 的 system/controlDict 中的 deltaT；若未找到则返回默认 1.0 + """ + # 优先在 root_dir/system/controlDict 查找，再在 case_dir/system/controlDict + candidates = [os.path.join(self.root_dir, 'system', 'controlDict'), + os.path.join(case_dir, 'system', 'controlDict'), + os.path.join(case_dir, 'uniform', 'time'), + os.path.join(case_dir, 'time')] + for p in candidates: + if os.path.exists(p): + try: + with open(p, 'r') as f: + txt = f.read() + m = re.search(r'deltaT\s+([0-9eE+\-.]+)', txt) + if m: + return float(m.group(1)) + except Exception: + pass + return 1.0 + + def _get_write_interval(self, case_dir): + """ + 尝试从 controlDict 中解析 writeInterval 的值；若未找到返回 None + """ + candidates = [os.path.join(self.root_dir, 'system', 'controlDict'), + os.path.join(case_dir, 'system', 'controlDict')] + for p in candidates: + if os.path.exists(p): + try: + with open(p, 'r') as f: + txt = f.read() + m = re.search(r'writeInterval\s+([0-9eE+\-.]+)', txt) + if m: + try: + return float(m.group(1)) + except Exception: + return None + except Exception: + pass + return None + + def _get_time_value(self, case_dir): + """读取当前时间步下的 uniform/time 文件以获取 value（物理时间）。""" + candidates = [os.path.join(case_dir, 'uniform', 'time'), os.path.join(case_dir, 'time'), os.path.join(case_dir, 'uniform', 'timeFile')] + for p in candidates: + if os.path.exists(p): + with open(p, 'r') as f: + txt = f.read() + m = re.search(r'value\s+([0-9eE+\-.]+)', txt) + if m: + try: + return float(m.group(1)) + except Exception: + pass + # fallback: try numeric time_dir name + try: + return float(os.path.basename(case_dir)) + except Exception: + return 0.0 + + def __len__(self): + total_frames = len(self.time_dirs) + window = max(int(self._number_of_steps_to_get), 1) + if total_frames == 0 or window > total_frames: + return 0 + return total_frames - window + 1 + + def _get_one_frame(self, idx): + # 读取 C, U, p 文件，使用统一的解析器 + time_dir = self.time_dirs[idx] + if time_dir == '.': + case_dir = self.root_dir + else: + case_dir = os.path.join(self.root_dir, time_dir) + + c_path = os.path.join(case_dir, 'C') + U_path = os.path.join(case_dir, self.vector_field) + p_path = os.path.join(case_dir, self.scalar_field) + + # 读取点坐标列表 (n, ndim) + point_list = np.array(self._read_field(c_path, vector=True)) + if point_list.ndim == 1: + point_list = point_list.reshape(-1, 1) + # 只保留用户感兴趣的分量作为 x,y + if point_list.shape[1] > max(self.vector_keep_dims): + point_list = point_list[:, self.vector_keep_dims] + if point_list.shape[1] >= 2: + point_list = point_list[:, :2] + + # 读取速度（vector）和压力（scalar） + U = np.array(self._read_field(U_path, vector=True)) + p = np.array(self._read_field(p_path, vector=False)) + + # 校验：U, p 与 C 的点数一致 + n_pts = point_list.shape[0] + # 如果 C 文件声明了 internalField 的点数（nonuniform List<...> 后的整数），使用该声明进行严格校验 + try: + declared_n = self._parse_internal_list_count(c_path) + if declared_n and declared_n > 0: + # 记录为类属性 + self.n_fluid_points = declared_n + if declared_n != n_pts: + raise RuntimeError(f"C 文件声明 {declared_n} 个 internalField 条目，但解析到 {n_pts} 行。请检查解析器或文件格式。") + except FileNotFoundError: + # 若找不到 C 文件则在后续的点匹配处会触发其它错误，继续让原有错误抛出 + pass + if U.shape[0] != n_pts: + raise RuntimeError(f"点数不匹配: C 中 {n_pts} 个点, 但 {self.vector_field} 中 {U.shape[0]} 个点") + if p.shape[0] != n_pts: + raise RuntimeError(f"点数不匹配: C 中 {n_pts} 个点, 但 {self.scalar_field} 中 {p.shape[0]} 个点") + + # 构造结构化网格 (xs, ys) + xs = np.unique(np.round(point_list[:, 0], self.coord_digits)) + ys = np.unique(np.round(point_list[:, 1], self.coord_digits)) + # i 对应 -y（从上到下），因此使用 ys 的降序作为 i 方向 + ys_desc = ys[::-1] + Nx = len(ys_desc) # i dimension (rows) + Ny = len(xs) # j dimension (cols) + # 生成 xGrid/yGrid，使得 xGrid[i,j]=xs[j], yGrid[i,j]=ys_desc[i] + xGrid = np.zeros((Nx, Ny), dtype=float) + yGrid = np.zeros((Nx, Ny), dtype=float) + for i, y in enumerate(ys_desc): + for j, x in enumerate(xs): + xGrid[i, j] = x + yGrid[i, j] = y + + # 建立从坐标到结构化索引的映射（以 round 精确匹配）：注意 i 使用 ys_desc + idx_map = {(round(x, self.coord_digits), round(y, self.coord_digits)): (i, j) + for i, y in enumerate(ys_desc) for j, x in enumerate(xs)} + + # 初始化场与掩码 + Ux = np.zeros((Nx, Ny), dtype=float) + Uy = np.zeros((Nx, Ny), dtype=float) + p_grid = np.zeros((Nx, Ny), dtype=float) + solid_mask = np.zeros((Nx, Ny), dtype=bool) # True=fluid, False=solid（初始化为全固体） + + # 建立映射字典：point index -> (ix,iy) + fluid_points = {} + fluid_grid_to_pt = {} + for k, (x, y) in enumerate(point_list): + key = (round(float(x), self.coord_digits), round(float(y), self.coord_digits)) + if key in idx_map: + i, j = idx_map[key] + fluid_points[k] = (i, j) + fluid_grid_to_pt[(i, j)] = k + # 将值写入结构化网格 + if U.ndim == 1: + Ux[i, j] = float(U[k]) + Uy[i, j] = 0.0 + else: + if U.shape[1] > max(self.vector_keep_dims): + uvals = U[k, self.vector_keep_dims] + else: + uvals = U[k, :len(self.vector_keep_dims)] + Ux[i, j] = float(uvals[0]) + Uy[i, j] = float(uvals[1]) if len(uvals) > 1 else 0.0 + p_grid[i, j] = float(p[k]) + solid_mask[i, j] = True + + # solid_points 列表 (未使用但保留) + solid_points = [tuple(idx) for idx in np.argwhere(~solid_mask)] + + # 对固体区域填充：速度 0，压力用最近流体点插值 + from scipy.spatial import cKDTree + fluid_idx = np.array(list(fluid_grid_to_pt.keys())) if len(fluid_grid_to_pt) > 0 else np.zeros((0, 2), dtype=int) + if fluid_idx.size > 0: + tree = cKDTree(fluid_idx) + solid_idx = np.argwhere(~solid_mask) + for si in solid_idx: + dist, nearest = tree.query(si) + ni, nj = fluid_idx[nearest] + p_grid[si[0], si[1]] = p_grid[ni, nj] + Ux[si[0], si[1]] = 0.0 + Uy[si[0], si[1]] = 0.0 + + # 生成输出：统一把 numpy 数组转换为 contiguous numpy 后用 torch.from_numpy 转为 torch.Tensor + def _to_tensor(arr): + # 将数组转换为 contiguous numpy 并在 Dataset 层转为 torch.Tensor + a = np.ascontiguousarray(np.asarray(arr)) + if HAVE_TORCH: + # 按要求使用 torch.from_numpy(np.ascontiguousarray(np.asarray(v))).float() + t = torch.from_numpy(a).float().to(device=self.device) + return t + else: + return a + + Ux = _to_tensor(Ux) + Uy = _to_tensor(Uy) + p_grid = _to_tensor(p_grid) + xGrid_t = _to_tensor(xGrid) + yGrid_t = _to_tensor(yGrid) + # mask: 保证语义为 1=fluid, 0=solid（solid_mask: True 表示流体） + fluid_mask = solid_mask.astype(np.float32) + mask = _to_tensor(fluid_mask) + + # 将固体速度占位放入 info（自适应维度，默认 0） + solid_velocity = tuple([0.0] * self.vector_dim) + + # 读取 inlet 边界条件，_parse_inlet_velocity 返回 {'patch': name, 'value': (vx,vy)} 或 None + inlet_info = self._parse_inlet_velocity(U_path) + # 只保留 value（如果有），不要把 patch 名传上层 + bc_info = {'inlet': inlet_info} + inlet_side = None + if inlet_info is not None and isinstance(inlet_info, dict): + vals = inlet_info.get('value', None) + # 简单策略：默认 inlet 在 x- 侧（j=0）。如果需要更复杂的匹配，可改进。 + inlet_side = 'x-' + if vals is not None: + # x-: j_idx=0; x+: j_idx=Ny-1; y+: i_idx=0; y-: i_idx=Nx-1 + if inlet_side == 'x-': + j_idx = 0 + for i in range(Nx): + Ux[i, j_idx] = float(vals[0]) if len(vals) > 0 else 0.0 + Uy[i, j_idx] = float(vals[1]) if len(vals) > 1 else 0.0 + elif inlet_side == 'x+': + j_idx = Ny - 1 + for i in range(Nx): + Ux[i, j_idx] = float(vals[0]) if len(vals) > 0 else 0.0 + Uy[i, j_idx] = float(vals[1]) if len(vals) > 1 else 0.0 + elif inlet_side == 'y+': + i_idx = 0 + for j in range(Ny): + Ux[i_idx, j] = float(vals[0]) if len(vals) > 0 else 0.0 + Uy[i_idx, j] = float(vals[1]) if len(vals) > 1 else 0.0 + elif inlet_side == 'y-': + i_idx = Nx - 1 + for j in range(Ny): + Ux[i_idx, j] = float(vals[0]) if len(vals) > 0 else 0.0 + Uy[i_idx, j] = float(vals[1]) if len(vals) > 1 else 0.0 + + # 现在继续 __getitem__ 的后半部分：时间步信息、info 字典填充等 + dt = self._get_dt(case_dir) + write_interval = self._get_write_interval(case_dir) + field = {'Ux': Ux, 'Uy': Uy, 'p': p_grid, 'xGrid': xGrid_t, 'yGrid': yGrid_t, 'mask': mask} + # 使用时间目录下的 uniform/time 或 time 文件中的 value 字段作为物理时间（fallback 为目录名数值） + time_value = self._get_time_value(case_dir) + + mask_np = None + xGrid_np = None + yGrid_np = None + try: + if HAVE_TORCH: + mask_np = mask.detach().cpu().numpy() + xGrid_np = xGrid_t.detach().cpu().numpy() + yGrid_np = yGrid_t.detach().cpu().numpy() + else: + mask_np = np.asarray(mask) + xGrid_np = np.asarray(xGrid_t) + yGrid_np = np.asarray(yGrid_t) + except Exception: + pass + if mask_np is None: + mask_np = np.asarray(mask) + if xGrid_np is None: + xGrid_np = np.asarray(xGrid_t) + if yGrid_np is None: + yGrid_np = np.asarray(yGrid_t) + + try: + length_y, length_x, bbox = self._compute_structure_length(mask_np, xGrid_np, yGrid_np) + except Exception: + length_y, length_x, bbox = 0.0, 0.0, None + + # 保存两个时间尺度：dt_simulation（origin simulation deltaT）和 dt（writeInterval） + fluid_info = dict(self.fluid_info) if isinstance(self.fluid_info, dict) else {} + info_dict = { + 'dt': float(write_interval) if write_interval is not None else float(dt), + 'dt_simulation': float(dt), + 'time': float(time_value), + 'fluid': fluid_info, + 'geometry': None, + 'solid_velocity': solid_velocity, + 'boundary': bc_info + } + + # 如果 fluid['Re'] 未指定，则用入口速度幅值 * 结构物纵向跨度 / nu 计算 Re + try: + if fluid_info.get('Re') is None: + nu = fluid_info.get('nu') + if inlet_info is not None and nu and (length_y is not None) and nu != 0 and length_y > 0: + vals = inlet_info.get('value', (0.0, 0.0)) if isinstance(inlet_info, dict) else (0.0, 0.0) + u_in = float(np.sqrt(sum([float(x)**2 for x in vals[:self.vector_dim]]))) + Re_calc = u_in * float(length_y) / float(nu) + fluid_info['Re'] = float(Re_calc) + except Exception: + pass + + geometry_data = { + 'structure_length_y': float(length_y) if length_y is not None else 0.0, + 'structure_length_x': float(length_x) if length_x is not None else 0.0, + 'bbox': tuple(float(x) for x in bbox) if bbox is not None else None + } + info_dict['geometry'] = geometry_data + + # 记录 inlet side + try: + info_dict['boundary']['inlet']['side'] = inlet_side + except Exception: + try: + if isinstance(inlet_info, dict): + inlet_info['side'] = inlet_side + info_dict['boundary'] = {'inlet': inlet_info} + except Exception: + pass + + return field, info_dict + + def __getitem__(self, idx): + + total_available = len(self.time_dirs) + window = int(self._number_of_steps_to_get) + max_start = total_available - window + if total_available == 0 or idx < 0 or idx > max_start: + raise IndexError('index out of range for the configured number_of_steps_to_get.') + + fields_seq = [] + infos_seq = [] + for offset in range(window): + field, info = self._get_one_frame(idx + offset) + fields_seq.append(field) + infos_seq.append(info) + + return fields_seq, infos_seq + + @staticmethod + def _stack_field(values, *, device, dtype): + if not values: + return values + if not HAVE_TORCH: + arrays = [np.ascontiguousarray(np.asarray(v)) for v in values] + stacked = np.stack(arrays, axis=0) + if stacked.ndim == 3: + stacked = stacked[:, None, ...] + return stacked + + tensors = [] + target_dtype = dtype if dtype is not None else torch.float32 + target_device = device if device is not None else torch.device('cpu') + for value in values: + tensor = value if torch.is_tensor(value) else torch.as_tensor(value, dtype=target_dtype) + tensor = tensor.to(device=target_device, dtype=target_dtype) + if tensor.ndim == 2: + tensor = tensor.unsqueeze(0) + if tensor.ndim != 3: + raise ValueError(f'Expected field tensor with 3 dims per sample (C, Ny, Nx); got {tuple(tensor.shape)}') + tensors.append(tensor.contiguous()) + stacked = torch.stack(tensors, dim=0) + return stacked.contiguous() + + @staticmethod + def _collate_info(infos, *, batch_size, data_device): + if not HAVE_TORCH: + raise RuntimeError('torch is required for collating info dictionaries.') + + cpu_device = torch.device('cpu') + info_list = [dict(info) if isinstance(info, dict) else {} for info in infos] + + def _collect_scalar(key, *, device, default=0.0): + values = [] + for data in info_list: + value = data.get(key, default) + if value is None: + value = default + values.append(float(value)) + tensor = torch.tensor(values, dtype=torch.float32, device=device) + return tensor.view(len(values), 1) + + info_out = { + 'dt': _collect_scalar('dt', device=data_device, default=0.0), + 'dt_simulation': _collect_scalar('dt_simulation', device=cpu_device, default=0.0), + 'time': _collect_scalar('time', device=cpu_device, default=0.0), + 'fluid': {}, + 'geometry': {}, + 'solid_velocity': None, + 'boundary': [] + } + + fluid_keys = set() + for data in info_list: + fluid = data.get('fluid') + if isinstance(fluid, dict): + fluid_keys.update(fluid.keys()) + for key in sorted(fluid_keys): + values = [] + for data in info_list: + fluid = data.get('fluid') if isinstance(data.get('fluid'), dict) else {} + value = fluid.get(key, 0.0) if isinstance(fluid, dict) else 0.0 + if value is None: + value = 0.0 + values.append(float(value)) + tensor = torch.tensor(values, dtype=torch.float32, device=cpu_device) + info_out['fluid'][key] = tensor.view(len(values), 1) + + geometry_keys = set() + for data in info_list: + geometry = data.get('geometry') + if isinstance(geometry, dict): + geometry_keys.update(geometry.keys()) + + for key in sorted(geometry_keys): + if key == 'bbox': + bbox_vals = [] + for data in info_list: + geometry = data.get('geometry') if isinstance(data.get('geometry'), dict) else {} + bbox = geometry.get('bbox') if isinstance(geometry, dict) else None + if bbox is None: + bbox_vals.append([0.0, 0.0, 0.0, 0.0]) + else: + bbox_vals.append([float(x) for x in bbox]) + info_out['geometry']['bbox'] = torch.tensor(bbox_vals, dtype=torch.float32, device=cpu_device) + else: + values = [] + for data in info_list: + geometry = data.get('geometry') if isinstance(data.get('geometry'), dict) else {} + value = geometry.get(key, 0.0) if isinstance(geometry, dict) else 0.0 + if value is None: + value = 0.0 + values.append(float(value)) + tensor = torch.tensor(values, dtype=torch.float32, device=cpu_device) + info_out['geometry'][key] = tensor.view(len(values), 1) + + solid_velocities = [] + max_dim = 0 + for data in info_list: + vel = data.get('solid_velocity', ()) + vel_list = list(vel) if vel is not None else [] + max_dim = max(max_dim, len(vel_list)) + solid_velocities.append([float(x) for x in vel_list]) + if max_dim == 0: + info_out['solid_velocity'] = torch.zeros((batch_size, 0), dtype=torch.float32, device=cpu_device) + else: + padded = [] + for vel in solid_velocities: + vel = vel + [0.0] * (max_dim - len(vel)) + padded.append(vel) + info_out['solid_velocity'] = torch.tensor(padded, dtype=torch.float32, device=cpu_device) + + info_out['boundary'] = [data.get('boundary') for data in info_list] + return info_out + + @staticmethod + def collate_fn(batch): # b, f -> f, b + if not batch: + return [], [] + + field_sequences, info_sequences = zip(*batch) + steps = len(field_sequences[0]) if field_sequences else 0 + + for seq in field_sequences: + if len(seq) != steps: + raise ValueError('All samples must contain the same number of frames.') + for seq in info_sequences: + if len(seq) != steps: + raise ValueError('All samples must contain the same number of frames.') + + collated_fields = [] + collated_infos = [] + + for step_idx in range(steps): + step_fields = [seq[step_idx] for seq in field_sequences] + step_infos = [seq[step_idx] for seq in info_sequences] + + data_device = None + data_dtype = None + if HAVE_TORCH: + for sample in step_fields: + for value in sample.values(): + if torch.is_tensor(value): + data_device = value.device + data_dtype = value.dtype + break + if data_device is not None: + break + + first_field = step_fields[0] + field_dict = {} + for key in first_field.keys(): + values = [sample[key] for sample in step_fields] + field_dict[key] = OpenfoamDataset._stack_field(values, device=data_device, dtype=data_dtype) + + if HAVE_TORCH: + batch_size = len(step_fields) + info_dict = OpenfoamDataset._collate_info(step_infos, batch_size=batch_size, data_device=data_device or torch.device('cpu')) + else: + info_dict = {} + + collated_fields.append(field_dict) + collated_infos.append(info_dict) + + return collated_fields, collated_infos + + @staticmethod + def plot_streamlines(field, + ax=None, + seed_density=0.6, + seeds=None, + step_size=None, + max_steps=2000, + min_speed=1e-5, + color_mode='speed', + cmap='viridis', + linewidth=1.4, + background='velocity', + background_cmap='Greys', + background_alpha=0.35, + add_colorbar=True, + mask_boundary=True, + title=None): + """ + 绘制速度场流线，思路参考 ``phi.vis.plot`` 中针对流线的处理流程（phi.torch.flow）。 + 通过 Runge-Kutta 积分追踪多条流线，支持根据速度着色、掩码约束和背景叠加。 + + 参数: + field: dict，至少包含 ``Ux``、``Uy``、``xGrid``、``yGrid``，可选 ``mask``、``p``。 + ax: Matplotlib Axes，若为 None 会创建新的图像。 + seed_density: 生成种子点的密度（基于网格尺寸，内部会自动限制总数量）。 + seeds: 手动指定种子点 (N,2)，单位与网格坐标一致。给定后忽略 seed_density。 + step_size: 空间步长，None 时自动取网格最小间距的一半。 + max_steps: 每个方向的积分步数上限。 + min_speed: 速度模低于该阈值即停止积分，避免停滞点振荡。 + color_mode: 'speed' 根据速度模着色；'constant' 使用 cmap 作为单一颜色。 + cmap: 着色方案；当 color_mode='constant' 时可为颜色字符串。 + linewidth: 流线宽度。 + background: 背景着色方式，'pressure' | 'velocity' | 'none' | ndarray。 + background_cmap/background_alpha: 背景 colormap 及透明度。 + add_colorbar: 是否为速度着色添加 colorbar。 + mask_boundary: 是否绘制固体边界轮廓。 + title: 可选标题。 + 返回: + Matplotlib LineCollection 或 None。 + """ + if field is None: + raise ValueError('field is required for plot_streamlines().') + if color_mode not in ('speed', 'constant'): + raise ValueError("color_mode must be either 'speed' or 'constant'.") + if max_steps <= 0: + raise ValueError('max_steps 必须为正整数。') + + fig = None + if ax is None: + fig, ax = plt.subplots(figsize=(6, 5)) + else: + fig = ax.figure + + Ux_raw = _to_numpy(field.get('Ux')) if field.get('Ux') is not None else None + Uy_raw = _to_numpy(field.get('Uy')) if field.get('Uy') is not None else None + xGrid_raw = _to_numpy(field.get('xGrid')) if field.get('xGrid') is not None else None + yGrid_raw = _to_numpy(field.get('yGrid')) if field.get('yGrid') is not None else None + if Ux_raw is None or Uy_raw is None or xGrid_raw is None or yGrid_raw is None: + raise ValueError("field must provide 'Ux', 'Uy', 'xGrid', 'yGrid'.") + + mask_raw = _to_numpy(field.get('mask')) if field.get('mask') is not None else np.zeros_like(Ux_raw, dtype=float) + + Ux = np.array(Ux_raw, dtype=float, copy=True) + Uy = np.array(Uy_raw, dtype=float, copy=True) + mask = np.array(mask_raw, dtype=float, copy=True) + xGrid = np.array(xGrid_raw, dtype=float, copy=True) + yGrid = np.array(yGrid_raw, dtype=float, copy=True) + + flip_x = xGrid.shape[1] > 1 and xGrid[0, 0] > xGrid[0, -1] + flip_y = yGrid.shape[0] > 1 and yGrid[0, 0] > yGrid[-1, 0] + if flip_x: + Ux = np.flip(Ux, axis=1) + Uy = np.flip(Uy, axis=1) + mask = np.flip(mask, axis=1) + xGrid = np.flip(xGrid, axis=1) + yGrid = np.flip(yGrid, axis=1) + if flip_y: + Ux = np.flip(Ux, axis=0) + Uy = np.flip(Uy, axis=0) + mask = np.flip(mask, axis=0) + xGrid = np.flip(xGrid, axis=0) + yGrid = np.flip(yGrid, axis=0) + + xs = xGrid[0, :].astype(float) + ys = yGrid[:, 0].astype(float) + if xs.size < 2 or ys.size < 2: + raise ValueError('流线绘制需要至少 2x2 的网格。') + + dx = float(np.median(np.diff(xs))) if xs.size > 1 else 1.0 + dy = float(np.median(np.diff(ys))) if ys.size > 1 else 1.0 + grid_step = min(abs(dx) if dx != 0 else np.inf, abs(dy) if dy != 0 else np.inf) + if not np.isfinite(grid_step) or grid_step == 0: + grid_step = 1.0 + if step_size is None: + step_size = 0.5 * grid_step + + if not HAVE_SCIPY_INTERP: + raise RuntimeError('scipy.interpolate.RegularGridInterpolator 未安装，无法使用高级流线整合。') + + fluid_mask = mask > 0.5 + if not np.any(fluid_mask): + raise ValueError('未检测到流体区域，无法绘制流线。') + + Ux_interp = RegularGridInterpolator((ys, xs), Ux, bounds_error=False, fill_value=np.nan) + Uy_interp = RegularGridInterpolator((ys, xs), Uy, bounds_error=False, fill_value=np.nan) + mask_interp = RegularGridInterpolator((ys, xs), mask, method='nearest', bounds_error=False, fill_value=0.0) + + seed_density = float(seed_density) + if seed_density <= 0: + raise ValueError('seed_density 必须为正。') + + fluid_indices = np.argwhere(fluid_mask) + y_idx_min, x_idx_min = fluid_indices.min(axis=0) + y_idx_max, x_idx_max = fluid_indices.max(axis=0) + domain_x = (xs[x_idx_min], xs[x_idx_max]) + domain_y = (ys[y_idx_min], ys[y_idx_max]) + + if seeds is None: + n_seed_x = max(3, int(len(xs) * seed_density)) + n_seed_y = max(3, int(len(ys) * seed_density)) + max_total_seeds = 600 + while n_seed_x * n_seed_y > max_total_seeds and (n_seed_x > 3 or n_seed_y > 3): + if n_seed_x >= n_seed_y and n_seed_x > 3: + n_seed_x -= 1 + elif n_seed_y > 3: + n_seed_y -= 1 + else: + break + seed_x = np.linspace(domain_x[0], domain_x[1], n_seed_x) + seed_y = np.linspace(domain_y[0], domain_y[1], n_seed_y) + sx, sy = np.meshgrid(seed_x, seed_y) + seeds = np.stack([sx.ravel(), sy.ravel()], axis=-1) + else: + seeds = np.asarray(seeds, dtype=float) + if seeds.ndim != 2 or seeds.shape[1] != 2: + raise ValueError('seeds 需要形状 (N, 2)。') + + def _interp(interpolator, pos): + return interpolator(np.array([[pos[1], pos[0]]], dtype=float))[0] + + def inside(pos): + return xs[0] <= pos[0] <= xs[-1] and ys[0] <= pos[1] <= ys[-1] + + def mask_value(pos): + val = _interp(mask_interp, pos) + return float(val) if np.isfinite(val) else 1.0 + + valid_seed_list = [] + for seed in seeds: + if not inside(seed): + continue + if mask_value(seed) <= 0.5: + continue + valid_seed_list.append(seed.astype(float)) + seeds = np.array(valid_seed_list, dtype=float) + if seeds.size == 0: + warnings.warn('未找到有效的流线起始点。', RuntimeWarning) + return None + + visited = np.zeros_like(fluid_mask, dtype=bool) + + def grid_index(pos): + ix = np.searchsorted(xs, pos[0], side='left') - 1 + iy = np.searchsorted(ys, pos[1], side='left') - 1 + ix = int(np.clip(ix, 0, len(xs) - 1)) + iy = int(np.clip(iy, 0, len(ys) - 1)) + return iy, ix + + def already_covered(pos): + iy, ix = grid_index(pos) + return visited[iy, ix] + + def mark_path(points): + if points.size == 0: + return + ix = np.clip(np.searchsorted(xs, points[:, 0], side='left') - 1, 0, len(xs) - 1).astype(int) + iy = np.clip(np.searchsorted(ys, points[:, 1], side='left') - 1, 0, len(ys) - 1).astype(int) + visited[iy, ix] = True + + def velocity(pos): + if not inside(pos): + return None + if mask_value(pos) <= 0.5: + return None + u = _interp(Ux_interp, pos) + v = _interp(Uy_interp, pos) + if not np.isfinite(u) or not np.isfinite(v): + return None + return np.array([float(u), float(v)], dtype=float) + + def rk4_step(pos, dt): + k1 = velocity(pos) + if k1 is None: + return None, None + k2 = velocity(pos + 0.5 * dt * k1) + if k2 is None: + return None, None + k3 = velocity(pos + 0.5 * dt * k2) + if k3 is None: + return None, None + k4 = velocity(pos + dt * k3) + if k4 is None: + return None, None + vel_avg = (k1 + 2.0 * k2 + 2.0 * k3 + k4) / 6.0 + new_pos = pos + dt * vel_avg + return new_pos, np.linalg.norm(vel_avg) + + def integrate_direction(seed_point, direction): + pos = np.array(seed_point, dtype=float) + path_points = [pos.copy()] + segment_speeds = [] + for _ in range(int(max_steps)): + vel = velocity(pos) + if vel is None: + break + speed = np.linalg.norm(vel) + if not np.isfinite(speed) or speed < min_speed: + break + dt = direction * (step_size / max(speed, min_speed)) + new_pos, avg_speed = rk4_step(pos, dt) + if new_pos is None or not inside(new_pos): + break + if mask_value(new_pos) <= 0.5: + break + path_points.append(new_pos) + segment_speeds.append(float(avg_speed if avg_speed is not None else speed)) + pos = new_pos + return np.array(path_points, dtype=float), np.array(segment_speeds, dtype=float) + + def trace(seed_point): + forward_pts, forward_speeds = integrate_direction(seed_point, 1.0) + backward_pts, backward_speeds = integrate_direction(seed_point, -1.0) + if forward_pts.shape[0] < 2 and backward_pts.shape[0] < 2: + return None + if backward_pts.shape[0] > 1: + back_pts = backward_pts[::-1] + back_speeds = backward_speeds[::-1] + pts = np.vstack((back_pts[:-1], forward_pts)) + speeds = np.concatenate((back_speeds, forward_speeds)) + else: + pts = forward_pts + speeds = forward_speeds + return pts, speeds + + segments = [] + segment_values = [] + + rng = np.random.default_rng(42) + rng.shuffle(seeds) + + for seed in seeds: + if already_covered(seed): + continue + traced = trace(seed) + if traced is None: + continue + pts, speeds = traced + if pts.shape[0] < 2: + continue + segments.append(np.stack([pts[:-1], pts[1:]], axis=1)) + if color_mode == 'speed': + if speeds.size == 0: + speeds = np.zeros(pts.shape[0] - 1, dtype=float) + segment_values.append(speeds) + mark_path(pts) + + background_data = None + if isinstance(background, str): + key = background.lower() + if key in ('pressure', 'p') and field.get('p') is not None: + background_data = _to_numpy(field.get('p')) + elif key in ('velocity', 'speed', 'magnitude'): + background_data = np.sqrt(Ux ** 2 + Uy ** 2) + elif background is not None: + background_data = np.asarray(background, dtype=float) + + if background_data is not None: + background_arr = np.array(background_data, dtype=float, copy=True) + if background_arr.shape != Ux.shape: + if background_arr.size == 1: + background_arr = np.full(Ux.shape, float(background_arr.ravel()[0]), dtype=float) + else: + background_arr = None + if background_arr is not None: + if flip_x: + background_arr = np.flip(background_arr, axis=1) + if flip_y: + background_arr = np.flip(background_arr, axis=0) + background_masked = np.ma.array(background_arr, mask=mask <= 0.5) + try: + ax.pcolormesh(xGrid, yGrid, background_masked, shading='auto', cmap=background_cmap, alpha=background_alpha) + except Exception: + ax.imshow(background_masked.T, origin='lower', cmap=background_cmap, alpha=background_alpha) + + if mask_boundary: + try: + ax.contour(xGrid, yGrid, mask, levels=[0.5], colors='k', linewidths=0.5, alpha=0.6) + except Exception: + pass + + line_collection = None + if segments: + seg_array = np.concatenate(segments, axis=0) + if color_mode == 'speed' and segment_values: + values = np.concatenate(segment_values, axis=0) + if not np.isfinite(values).any(): + values = np.zeros(seg_array.shape[0], dtype=float) + vmin = float(np.nanmin(values)) + vmax = float(np.nanmax(values)) + if not np.isfinite(vmin): + vmin = 0.0 + if not np.isfinite(vmax): + vmax = 1.0 + if abs(vmax - vmin) < 1e-12: + vmax = vmin + 1e-12 + norm = Normalize(vmin=vmin, vmax=vmax) + line_collection = LineCollection(seg_array, linewidths=linewidth, cmap=cmap, norm=norm) + line_collection.set_array(values) + ax.add_collection(line_collection) + if add_colorbar and fig is not None: + fig.colorbar(line_collection, ax=ax, fraction=0.046, pad=0.04, label='|u|') + else: + color_value = cmap if isinstance(cmap, str) else 'k' + line_collection = LineCollection(seg_array, linewidths=linewidth, colors=color_value) + ax.add_collection(line_collection) + + ax.set_xlim(xs[0], xs[-1]) + ax.set_ylim(ys[0], ys[-1]) + if flip_y: + ax.invert_yaxis() + ax.set_aspect('equal', adjustable='box') + ax.set_xlabel('x') + ax.set_ylabel('y') + if title: + ax.set_title(title) + + if not segments: + warnings.warn('未生成有效流线，已仅绘制背景。', RuntimeWarning) + return line_collection + + @staticmethod + def visualize(dataset, indices=None, mask_mode='nan', save_dir=None, + to_video=False, video_name='out.mp4', fps=10, + cmap='viridis', pressure_cmap='plasma', show=False, + clip_percentile=99, add_contours=False, contour_levels=10, + add_streamlines=False, stream_density=1.0, ffmpeg_path='./', + stream_kwargs=None): + """ + 静态可视化方法：接受一个 dataset 实例（或任何具有 __getitem__ 的对象）和若干时间步索引， + 将每一帧绘制为基于坐标的伪彩图（使用 pcolormesh），并可选择保存每帧到磁盘并用 ffmpeg 合成视频。 + + 参数： + - dataset: OpenfoamDataset 实例或兼容接口 + - indices: None 或索引列表（None 表示全部时间步） + - mask_mode: 固体区域掩码处理方式，支持 'nan'（默认）或 'zero' + - save_dir: 若指定则保存逐帧 PNG 到该目录 + - to_video: 若 True 则在保存完帧后调用 ffmpeg 合成视频 (需要系统安装 ffmpeg) + - video_name: 生成的视频文件名（位于 save_dir） + - fps: 视频帧率 + - cmap / pressure_cmap: 颜色映射 + - show: 是否在每帧显示窗口（会阻塞，适用于交互） + - ffmpeg_path: ffmpeg/bin 的路径（用于添加环境变量，确保ffmpeg命令可运行） + - stream_kwargs: dict，可选流线绘制参数，透传给 plot_streamlines() + """ + # 处理 indices + if indices is None: + try: + n = len(dataset) + indices = list(range(n)) + except Exception: + indices = [0] + + if save_dir: + os.makedirs(save_dir, exist_ok=True) + + def to_numpy(x): + try: + return x.cpu().numpy() + except Exception: + return np.array(x) + + def _fallback_streamplot(ax, x_grid, y_grid, pressure_field, Ux_field, Uy_field, + density_value, contour_flag, contour_levels_value): + try: + ax.pcolormesh(x_grid, y_grid, pressure_field, shading='auto', cmap=pressure_cmap, alpha=0.25) + except Exception: + pass + xs_local = np.unique(x_grid[0, :]) if x_grid.ndim == 2 else np.linspace(np.min(x_grid), np.max(x_grid), Ux_field.shape[1]) + ys_local = np.unique(y_grid[:, 0]) if y_grid.ndim == 2 else np.linspace(np.min(y_grid), np.max(y_grid), Ux_field.shape[0]) + if ys_local[0] > ys_local[-1]: + ys_for_plot = ys_local[::-1] + U_plot = np.flipud(Ux_field) + V_plot = np.flipud(Uy_field) + else: + ys_for_plot = ys_local + U_plot = Ux_field + V_plot = Uy_field + try: + ax.streamplot(xs_local, ys_for_plot, U_plot, V_plot, density=density_value, color='k', linewidth=0.6, arrowsize=1.0) + except Exception: + pass + if contour_flag: + try: + ax.contour(x_grid, y_grid, pressure_field, levels=contour_levels_value, colors='k', linewidths=0.5) + except Exception: + pass + + base_stream_kwargs = dict(stream_kwargs) if stream_kwargs is not None else {} + + frame_paths = [] + frame_counter = 0 + for idx in indices: + sample = dataset[idx] + if not isinstance(sample, (list, tuple)) or len(sample) != 2: + raise TypeError('Dataset __getitem__ must return (fields_seq, infos_seq).') + fields_seq, infos_seq = sample + if len(fields_seq) != len(infos_seq): + raise ValueError('fields_seq and infos_seq must have the same length.') + + for step_offset, (field, info) in enumerate(zip(fields_seq, infos_seq)): + Ux = to_numpy(field.get('Ux')) + Uy = to_numpy(field.get('Uy')) + p = to_numpy(field.get('p')) + xGrid = to_numpy(field.get('xGrid')) + yGrid = to_numpy(field.get('yGrid')) + mask = to_numpy(field.get('mask')) + + def apply_mask(arr): + a = arr.copy() + try: + mask_arr = np.asarray(mask) + if mask_arr.dtype == bool: + solid_region = ~mask_arr + else: + solid_region = mask_arr < 0.5 + if mask_mode == 'zero': + a[solid_region] = 0.0 + elif mask_mode == 'keep': + pass + else: + a = np.where(solid_region, np.nan, a) + except Exception: + pass + return a + + p_vis = apply_mask(p) + vel = np.sqrt(np.nan_to_num(Ux)**2 + np.nan_to_num(Uy)**2) + vel_vis = apply_mask(vel) + + try: + x_1d = xGrid[0, :] + y_1d = yGrid[:, 0] + dudx = np.gradient(Ux, x_1d, axis=1) + dudy = np.gradient(Ux, y_1d, axis=0) + dvdx = np.gradient(Uy, x_1d, axis=1) + dvdy = np.gradient(Uy, y_1d, axis=0) + vorticity = dvdx - dudy + except Exception: + vorticity = np.zeros_like(Ux) + vort_vis = apply_mask(vorticity) + + fig = plt.figure(figsize=(12, 10)) + gs = fig.add_gridspec(2, 2, left=0.07, right=0.95, top=0.96, bottom=0.05, wspace=0.12, hspace=0.18) + ax_vort = fig.add_subplot(gs[0, 0]) + ax_press = fig.add_subplot(gs[0, 1]) + ax_stream = fig.add_subplot(gs[1, 0]) + ax_vel = fig.add_subplot(gs[1, 1]) + + try: + if clip_percentile is not None and clip_percentile > 0: + valid = p_vis[~np.isnan(p_vis)] if np.any(~np.isnan(p_vis)) else np.array([]) + if valid.size > 0: + vmin = np.percentile(valid, 100 - clip_percentile) + vmax = np.percentile(valid, clip_percentile) + else: + vmin, vmax = None, None + else: + vmin, vmax = None, None + pcm_press = ax_press.pcolormesh(xGrid, yGrid, p_vis, shading='auto', cmap=pressure_cmap, vmin=vmin, vmax=vmax) + except Exception: + pcm_press = ax_press.imshow(p_vis.T if p_vis.ndim == 2 else p_vis, origin='lower', cmap=pressure_cmap) + ax_press.set_title(f'Pressure (sample={idx}, step={step_offset}, time={info.get("time")})') + fig.colorbar(pcm_press, ax=ax_press, fraction=0.046, pad=0.04) + try: + ax_press.set_aspect('equal', adjustable='box') + except Exception: + pass + + try: + pcm_vort = ax_vort.pcolormesh(xGrid, yGrid, vort_vis, shading='auto', cmap='bwr') + except Exception: + pcm_vort = ax_vort.imshow(vort_vis.T if vort_vis.ndim == 2 else vort_vis, origin='lower', cmap='bwr') + ax_vort.set_title(f'Vorticity (sample={idx}, step={step_offset})') + fig.colorbar(pcm_vort, ax=ax_vort, fraction=0.046, pad=0.04) + try: + ax_vort.set_aspect('equal', adjustable='box') + except Exception: + pass + + stream_field = { + 'Ux': field.get('Ux'), + 'Uy': field.get('Uy'), + 'xGrid': field.get('xGrid'), + 'yGrid': field.get('yGrid'), + 'mask': field.get('mask'), + 'p': field.get('p') + } + if add_streamlines: + local_stream_kwargs = dict(base_stream_kwargs) + local_stream_kwargs.setdefault('seed_density', stream_density) + local_stream_kwargs.setdefault('background', 'pressure') + local_stream_kwargs.setdefault('cmap', cmap) + local_stream_kwargs.setdefault('add_colorbar', False) + local_stream_kwargs.setdefault('mask_boundary', True) + local_stream_kwargs.setdefault('title', f'Streamlines (sample={idx}, step={step_offset})') + try: + OpenfoamDataset.plot_streamlines(stream_field, ax=ax_stream, **local_stream_kwargs) + except Exception as exc: + warnings.warn(f'plot_streamlines failed ({exc!r}); falling back to matplotlib.streamplot()', RuntimeWarning) + _fallback_streamplot(ax_stream, xGrid, yGrid, p_vis, Ux, Uy, stream_density, add_contours, contour_levels) + ax_stream.set_title(f'Streamlines (sample={idx}, step={step_offset})') + else: + _fallback_streamplot(ax_stream, xGrid, yGrid, p_vis, Ux, Uy, stream_density, add_contours, contour_levels) + ax_stream.set_title(f'Streamlines (sample={idx}, step={step_offset})') + try: + ax_stream.set_aspect('equal', adjustable='box') + except Exception: + pass + + try: + pcm_vel = ax_vel.pcolormesh(xGrid, yGrid, vel_vis, shading='auto', cmap=cmap) + except Exception: + pcm_vel = ax_vel.imshow(vel_vis.T if vel_vis.ndim == 2 else vel_vis, origin='lower', cmap=cmap) + ax_vel.set_title(f'Velocity magnitude (sample={idx}, step={step_offset})') + fig.colorbar(pcm_vel, ax=ax_vel, fraction=0.046, pad=0.04) + try: + ax_vel.set_aspect('equal', adjustable='box') + except Exception: + pass + + if save_dir: + out_path = os.path.join(save_dir, f'frame_{frame_counter:06d}.png') + fig.savefig(out_path, dpi=150) + frame_paths.append(out_path) + print(f'[visualize] saved {out_path}') + if show: + plt.show() + else: + plt.close(fig) + + frame_counter += 1 + + # 调用 ffmpeg 合成视频（如果需要） + if to_video: + os.environ["PATH"] = ffmpeg_path + os.pathsep + os.environ["PATH"] + if not save_dir: + raise ValueError('to_video=True 时必须提供 save_dir 用于存放帧') + out_video = os.path.join(save_dir, video_name) + input_pattern = os.path.join(save_dir, 'frame_%06d.png') + scale_filter = 'scale=iw/2:ih/2' + cmd = ['ffmpeg', '-y', '-framerate', str(fps), '-i', input_pattern, '-vf', scale_filter, '-c:v', 'libx264', '-pix_fmt', 'yuv420p', out_video] + try: + print('[visualize] running ffmpeg to create video...') + subprocess.run(cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) + print(f'[visualize] video saved to {out_video}') + except FileNotFoundError: + raise RuntimeError('ffmpeg 未找到：请在系统路径中安装 ffmpeg，或将其可执行文件路径添加到 PATH') + except subprocess.CalledProcessError as e: + raise RuntimeError(f'ffmpeg failed: {e.stderr.decode(errors="ignore")}') + + +class OpenfoamDataset_Only4AE(OpenfoamDataset): + def __getitem__(self, index): + fields_seq, _ = super().__getitem__(index) + return fields_seq + + + +# 基于多个Dataset实例的包装类，用于多数据集联合训练等场景 +# 将多个数据集拼成一个更大的数据集，并视作一个整体 +# 在内部如何准确找到样本：将 样本的外部编号 动态映射到 样本所在数据集编号及其在数据集内部的编号 +# 可以组装不同的Dataset类，但是这些类必须有统一的的接口和一致的 collate_fn +class ConcatDatasetsWrapper(Dataset): + """Wrap multiple dataset instances (possibly heterogeneous) into a single dataset. + + datasets_descriptors: sequence where each element can be either: + - a path (str/Path) -> will be constructed using dataset_cls (default OpenfoamDataset) + - a tuple (path, dataset_cls) -> constructed with dataset_cls(path, number_of_steps_to_get, ...) + - a tuple (path, dataset_cls, kwargs_dict) -> constructed with dataset_cls(path, number_of_steps_to_get, **kwargs_dict) + + This allows assembling heterogeneous dataset classes into one virtual dataset. + """ + def __init__(self, datasets_descriptors, number_of_steps_to_get, *args, **kwargs): + self.datasets_descriptors = list(datasets_descriptors) + self._number_of_steps_to_get = number_of_steps_to_get + # 默认 Dataset 类为 OpenfoamDataset；若 descriptor 为 tuple 则可指定类 + self._default_dataset_cls = OpenfoamDataset + self._default_args = args + self._default_kwargs = dict(kwargs) + + self.datasets_list = [] + for desc in self.datasets_descriptors: + if isinstance(desc, (str, os.PathLike)): + path = os.fspath(desc) + cls = self._default_dataset_cls + k = dict(self._default_kwargs) + elif isinstance(desc, Sequence) and len(desc) >= 2: + path = os.fspath(desc[0]) + cls = desc[1] or self._default_dataset_cls + k = dict(self._default_kwargs) + if len(desc) >= 3 and isinstance(desc[2], dict): + k.update(desc[2]) + else: + raise TypeError('Each datasets_descriptors element must be path or (path, cls[, kwargs])') + + ds = cls(path, self._number_of_steps_to_get, *self._default_args, **k) + self.datasets_list.append(ds) + + # expose collate helpers from first dataset for convenience + if self.datasets_list: + # expose a collate function from the first dataset; default to OpenfoamDataset.collate_fn + self.collate_fn = getattr(self.datasets_list[0], 'collate_fn', OpenfoamDataset.collate_fn) + + def __len__(self): + return sum(len(i) for i in self.datasets_list) + + def __getitem__(self, idx): + idx_sample_internal = idx + for i, ds in enumerate(self.datasets_list): + if idx_sample_internal < len(ds): + return ds[idx_sample_internal] + idx_sample_internal -= len(ds) + raise IndexError('index out of range') + + +def create_dataloader_of(data_path, + number_of_steps_to_get=2, + batch_size=1, + shuffle=True, + num_workers=0, + pin_memory=True, # ✅ 要求 CPU tensor + drop_last=False, + collate_fn=None, + distributed=False, + world_size=1, + rank=0, + seed=None, + persistent_workers=False, + prefetch_factor=2, + generator=None, + device=None, + dtype=None, + **dataset_kwargs): + """Create a DataLoader for a single OpenfoamDataset. + + Args: + data_path: Path to OpenFOAM case directory (single dataset). + number_of_steps_to_get: Number of time steps to load per sample. + batch_size: Batch size for DataLoader. + shuffle: Whether to shuffle the dataset. + num_workers: Number of worker processes for data loading. + pin_memory: Pin memory for faster GPU transfer. + drop_last: Drop last incomplete batch. + collate_fn: Custom collate function (defaults to OpenfoamDataset.collate_fn). + distributed: Enable distributed sampler. + world_size: Number of distributed processes. + rank: Rank of current process. + seed: Random seed for reproducibility. + persistent_workers: Keep workers alive between epochs. + prefetch_factor: Number of batches to prefetch per worker. + generator: Random generator for sampling. + device: torch 设备（覆盖 Dataset 初始化时的 device 参数）。 + dtype: torch dtype（覆盖 Dataset 初始化时的 dtype 参数）。 + **dataset_kwargs: Additional arguments passed to OpenfoamDataset constructor. + + Returns: + torch.utils.data.DataLoader instance. + """ + if not HAVE_TORCH: + raise RuntimeError('torch is required to create a DataLoader.') + + dataset_kwargs = dict(dataset_kwargs) + if device is not None: + dataset_kwargs.setdefault('device', device) + if dtype is not None: + dataset_kwargs.setdefault('dtype', dtype) + + # Create single OpenfoamDataset instance + dataset = OpenfoamDataset( + root_dir=data_path, + number_of_steps_to_get=number_of_steps_to_get, + **dataset_kwargs + ) + + # Use dataset's collate_fn if not provided + if collate_fn is None: + collate_fn = OpenfoamDataset.collate_fn + + # Setup distributed sampler if needed + sampler = None + final_world_size = max(1, int(world_size)) + if distributed or final_world_size > 1: + sampler = torch.utils.data.distributed.DistributedSampler( + dataset, + num_replicas=final_world_size, + rank=int(rank), + shuffle=bool(shuffle) + ) + shuffle = False + + # Setup worker initialization function with seeding + worker_init_fn = None + if seed is not None: + base_seed = int(seed) + + def _init_fn(worker_id): + worker_seed = base_seed + worker_id + np.random.seed(worker_seed) + random.seed(worker_seed) + torch.manual_seed(worker_seed) + + worker_init_fn = _init_fn + + if generator is None: + generator = torch.Generator() + generator.manual_seed(base_seed) + + batch_size = min(batch_size, len(dataset)) + nd = torch.cuda.device_count() # number of CUDA devices + num_workers = min([os.cpu_count() // max(nd, 1), batch_size if batch_size > 1 else 0, num_workers]) # number of workers + + # Build DataLoader kwargs + loader_kwargs = dict( + dataset=dataset, + batch_size=batch_size, + shuffle=bool(shuffle) if sampler is None else False, + sampler=sampler, + num_workers=num_workers, + pin_memory=pin_memory, + drop_last=drop_last, + collate_fn=collate_fn, + worker_init_fn=worker_init_fn, + generator=generator + ) + + if num_workers > 0: + loader_kwargs['persistent_workers'] = bool(persistent_workers) + if prefetch_factor is not None: + loader_kwargs['prefetch_factor'] = prefetch_factor + + return DataLoader(**loader_kwargs) + + +def create_dataloader_cat(datasets_descriptors, + number_of_steps_to_get=2, + batch_size=1, + shuffle=True, + num_workers=0, + pin_memory=True, # ✅ 要求 CPU tensor + drop_last=False, + collate_fn=None, + distributed=False, + world_size=1, + rank=0, + seed=None, + persistent_workers=False, + prefetch_factor=2, + generator=None, + device=None, + dtype=None, + **dataset_kwargs): + """Create a DataLoader backed by ConcatDatasetsWrapper for multiple datasets. + + Args: + datasets_descriptors: Sequence of dataset descriptors, each can be: + - a path (str/PathLike) -> constructed with OpenfoamDataset + - a tuple (path, dataset_cls) -> constructed with custom class + - a tuple (path, dataset_cls, kwargs_dict) -> with extra kwargs + number_of_steps_to_get: Number of time steps to load per sample. + batch_size: Batch size for DataLoader. + shuffle: Whether to shuffle the dataset. + num_workers: Number of worker processes for data loading. + pin_memory: Pin memory for faster GPU transfer. + drop_last: Drop last incomplete batch. + collate_fn: Custom collate function (defaults to first dataset's collate_fn). + distributed: Enable distributed sampler. + world_size: Number of distributed processes. + rank: Rank of current process. + seed: Random seed for reproducibility. + persistent_workers: Keep workers alive between epochs. + prefetch_factor: Number of batches to prefetch per worker. + generator: Random generator for sampling. + device: torch 设备（覆盖内部 Dataset 初始化的 device 参数）。 + dtype: torch dtype（覆盖内部 Dataset 初始化的 dtype 参数）。 + **dataset_kwargs: Additional arguments passed to dataset constructors. + + Returns: + torch.utils.data.DataLoader instance. + """ + if not HAVE_TORCH: + raise RuntimeError('torch is required to create a DataLoader.') + + # Create ConcatDatasetsWrapper instance + dataset_kwargs = dict(dataset_kwargs) + if device is not None: + dataset_kwargs.setdefault('device', device) + if dtype is not None: + dataset_kwargs.setdefault('dtype', dtype) + + dataset = ConcatDatasetsWrapper( + datasets_descriptors=datasets_descriptors, + number_of_steps_to_get=number_of_steps_to_get, + **dataset_kwargs + ) + + # Use wrapper's collate_fn if not provided + if collate_fn is None: + collate_fn = getattr(dataset, 'collate_fn', OpenfoamDataset.collate_fn) + + # Setup distributed sampler if needed + sampler = None + final_world_size = max(1, int(world_size)) + if distributed or final_world_size > 1: + sampler = torch.utils.data.distributed.DistributedSampler( + dataset, + num_replicas=final_world_size, + rank=int(rank), + shuffle=bool(shuffle) + ) + shuffle = False + + # Setup worker initialization function with seeding + worker_init_fn = None + if seed is not None: + base_seed = int(seed) + + def _init_fn(worker_id): + worker_seed = base_seed + worker_id + np.random.seed(worker_seed) + random.seed(worker_seed) + torch.manual_seed(worker_seed) + + worker_init_fn = _init_fn + + if generator is None: + generator = torch.Generator() + generator.manual_seed(base_seed) + + batch_size = min(batch_size, len(dataset)) + nd = torch.cuda.device_count() # number of CUDA devices + num_workers = min([os.cpu_count() // max(nd, 1), batch_size if batch_size > 1 else 0, num_workers]) # number of workers + + # Build DataLoader kwargs + loader_kwargs = dict( + dataset=dataset, + batch_size=batch_size, + shuffle=bool(shuffle) if sampler is None else False, + sampler=sampler, + num_workers=num_workers, + pin_memory=pin_memory, + drop_last=drop_last, + collate_fn=collate_fn, + worker_init_fn=worker_init_fn, + generator=generator + ) + + if num_workers > 0: + loader_kwargs['persistent_workers'] = bool(persistent_workers) + if prefetch_factor is not None: + loader_kwargs['prefetch_factor'] = prefetch_factor + + return DataLoader(**loader_kwargs) + +# 可视化测试与命令行入口 +if __name__ == "__main__": + import argparse + + parser = argparse.ArgumentParser(description='OpenFOAM dataloader quick sanity checks') + parser.add_argument('--data', type=str, default='./env19', help='OpenFOAM case 路径') + parser.add_argument('--step', type=int, default=0, help='预览的时间步索引') + # parser.add_argument('--visualize', action='store_true', help='是否可视化') + parser.add_argument('--save-dir', type=str, default='./test_loader', help='可视化输出目录 (若启用)') + args = parser.parse_args() + + #%% + print('\n[Example 1] OpenfoamDataset 使用示例') + dataset = OpenfoamDataset(args.data, number_of_steps_to_get=2, device="cuda") # ✅ NOTE 建议使用cpu模式(在训练循环中手动to(device)), 因为 dataloader 启用 pin-memory 时要求 CPU tensor + print(' 总样本数:', len(dataset)) + fields_seq, infos_seq = dataset[args.step] + print(' 样本时间序列长度:', len(fields_seq)) + if fields_seq: + print(' 第 0 帧字段键:', list(fields_seq[0].keys())) + for key, value in fields_seq[0].items(): + if HAVE_TORCH and torch.is_tensor(value): + print(f' {key}: tensor shape={tuple(value.shape)} dtype={value.dtype}') + else: + print(f' {key}: type={type(value)}') + if infos_seq: + print(' 第 0 帧 info 键:', list(infos_seq[0].keys())) + + # if args.visualize: + # if True: + # os.makedirs(args.save_dir, exist_ok=True) + # OpenfoamDataset.visualize(dataset, indices=[args.step], save_dir=args.save_dir) + # print(f' 可视化结果保存在 {args.save_dir}') + + #%% + print('\n[Example 2] create_dataloader_of 使用示例') + dataloader = create_dataloader_of(args.data, batch_size=2, shuffle=False, num_workers=0, device='cpu') + batch_fields, batch_infos = next(iter(dataloader)) + print(' 批次时间序列长度:', len(batch_fields)) + if batch_fields: + print(' 第 0 步字段键:', list(batch_fields[0].keys())) + for key, value in batch_fields[0].items(): + if HAVE_TORCH and torch.is_tensor(value): + print(f' {key}: tensor shape={tuple(value.shape)} dtype={value.dtype}') + if batch_infos: + print(' 第 0 步 info 键:', list(batch_infos[0].keys())) + + #%% + print('\n[Example 3] ConcatDatasetsWrapper 使用示例') + concat_dataset = ConcatDatasetsWrapper([args.data, args.data], number_of_steps_to_get=2) + print(' 总样本数:', len(concat_dataset)) + concat_fields, concat_infos = concat_dataset[args.step] + print(' 样本时间序列长度:', len(concat_fields)) + if concat_fields: + print(' 第 0 帧字段键:', list(concat_fields[0].keys())) + for key, value in concat_fields[0].items(): + if HAVE_TORCH and torch.is_tensor(value): + print(f' {key}: tensor shape={tuple(value.shape)} dtype={value.dtype}') + if concat_infos: + print(' 第 0 帧 info 键:', list(concat_infos[0].keys())) + + os.makedirs(args.save_dir, exist_ok=True) + OpenfoamDataset.visualize(concat_dataset, indices=None, save_dir=args.save_dir, show=False) + print(f' 可视化结果保存在 {args.save_dir}') + + frame_pattern = os.path.join(args.save_dir, 'frame_%06d.png') + video_path = os.path.join(args.save_dir, 'preview.mp4') + if shutil.which('ffmpeg'): + cmd = ['ffmpeg', '-y', '-framerate', '5', '-i', frame_pattern, '-c:v', 'libx264', '-pix_fmt', 'yuv420p', video_path] + try: + subprocess.run(cmd, check=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE) + print(f' 已合成视频: {video_path}') + except subprocess.CalledProcessError as exc: + err_msg = exc.stderr.decode(errors='ignore') if exc.stderr else str(exc) + print(f' ⚠️ ffmpeg 合成失败: {err_msg[:200]}') + else: + print(' ⚠️ 未检测到 ffmpeg，跳过视频合成') + + #%% + print('\n[Example 4] create_dataloader_cat 使用示例') + concat_loader = create_dataloader_cat([args.data, args.data], batch_size=2, shuffle=False, num_workers=0) + cat_fields, cat_infos = next(iter(concat_loader)) + print(' 批次时间序列长度:', len(cat_fields)) + if cat_fields: + print(' 第 0 步字段键:', list(cat_fields[0].keys())) + for key, value in cat_fields[0].items(): + if HAVE_TORCH and torch.is_tensor(value): + print(f' {key}: tensor shape={tuple(value.shape)} dtype={value.dtype}') + if cat_infos: + print(' 第 0 步 info 键:', list(cat_infos[0].keys())) + + #%% + print('\n✅ 示例执行完毕') + + diff --git a/scripts/detached_train.py b/scripts/detached_train.py new file mode 100644 index 0000000000000000000000000000000000000000..a0cc843b851ffaab46baff9f3dce1f1e8301da43 --- /dev/null +++ b/scripts/detached_train.py @@ -0,0 +1,38 @@ +""" +独立 launcher — 运行后关闭父进程，子进程继续运行。 +在远程执行: F:\f\pyopenfoam-gpu\python.exe Code\scripts\detached_train.py +""" +import subprocess +import os +import sys + +os.chdir(r"F:\agent-workspace\paper2") +os.environ["PYTHONUNBUFFERED"] = "1" + +log_path = r"Exp\results\R1\train_log.txt" + +# 用 CREATE_NEW_PROCESS_GROUP + DETACHED_PROCESS 脱离父进程 +flags = 0x00000200 | 0x00000008 # DETACHED_PROCESS | CREATE_NEW_PROCESS_GROUP + +with open(log_path, "w") as log: + proc = subprocess.Popen( + [ + r"F:\f\pyopenfoam-gpu\python.exe", "-u", + r"Code\scripts\resolution_generalization.py", + "--checkpoint_root", "checkpoints", + "--output_dir", r"Exp\results\R1", + "--train_resolutions", "64", "256", + "--skip_generalization", + "--n_rollout_steps", "50", + "--epochs_s1", "50", + "--epochs_s2", "30", + "--seed", "42", + "--device", "cuda", + ], + stdout=log, + stderr=subprocess.STDOUT, + creationflags=flags, + ) + + print(f"PID={proc.pid}", flush=True) + # 不等待 — 父进程退出后子进程继续 diff --git a/scripts/fix_stokes_cd.py b/scripts/fix_stokes_cd.py new file mode 100644 index 0000000000000000000000000000000000000000..ca1437e69f328b812c80321d0fba39195aaf48fe --- /dev/null +++ b/scripts/fix_stokes_cd.py @@ -0,0 +1,21 @@ +#!/usr/bin/env python3 +"""用干净模板覆盖所有 stokes_wave case 的 controlDict""" +import os, shutil + +raw = '/mnt/f/agent-workspace/paper2/Exp/data/raw/stokes_wave' +template = '/mnt/f/agent-workspace/paper2/Exp/data/scripts/stokes_controlDict_template' + +with open(template) as f: + tmpl = f.read() + +fixed = 0 +for d in sorted(os.listdir(raw)): + if not d.startswith('t'): + continue + cd = os.path.join(raw, d, 'system', 'controlDict') + if os.path.isdir(os.path.dirname(cd)): + with open(cd, 'w') as f: + f.write(tmpl) + fixed += 1 + +print(f'Overwrote {fixed} controlDicts with clean template') diff --git a/scripts/fix_stokes_functions.py b/scripts/fix_stokes_functions.py new file mode 100644 index 0000000000000000000000000000000000000000..1df19273d9151ca3f1b687fe3f072a98f80a1000 --- /dev/null +++ b/scripts/fix_stokes_functions.py @@ -0,0 +1,20 @@ +#!/usr/bin/env python3 +"""移除 stokes_wave 所有 case controlDict 中的 line 函数""" +import os, re + +raw = '/mnt/f/agent-workspace/paper2/Exp/data/raw/stokes_wave' +fixed = 0 +for d in sorted(os.listdir(raw)): + if not d.startswith('t'): + continue + cd = os.path.join(raw, d, 'system', 'controlDict') + if not os.path.isfile(cd): + continue + c = open(cd).read() + m = re.search(r'functions\s*\{.*?\}\s*\n', c, re.DOTALL) + if m: + new_c = c[:m.start()] + 'functions {};\n' + c[m.end():] + with open(cd, 'w') as f: + f.write(new_c) + fixed += 1 +print(f'Fixed {fixed} controlDicts') diff --git a/scripts/fix_write_interval.py b/scripts/fix_write_interval.py new file mode 100644 index 0000000000000000000000000000000000000000..3b73e0e901e5a681f5788b031a1f35bb0a457ecc --- /dev/null +++ b/scripts/fix_write_interval.py @@ -0,0 +1,36 @@ +#!/usr/bin/env python3 +"""批量更新 raw/ 下所有 case 的 controlDict writeInterval""" +import os, re + +raw = '/mnt/f/agent-workspace/paper2/Exp/data/raw' + +# endTime/25 for each case type +wi_map = { + 'dam_break': 0.08, + 'rising_bubble': 0.12, + 'droplet_impact': 0.008, + 'stokes_wave': 0.8, +} + +updated = 0 +for ct, wi in wi_map.items(): + ct_dir = os.path.join(raw, ct) + if not os.path.isdir(ct_dir): + continue + for case in sorted(os.listdir(ct_dir)): + cd_path = os.path.join(ct_dir, case, 'system', 'controlDict') + if not os.path.isfile(cd_path): + continue + with open(cd_path) as f: + content = f.read() + new_content = re.sub( + r'(writeInterval\s+)\S+', + f'\\g<1>{wi};', + content + ) + if new_content != content: + with open(cd_path, 'w') as f: + f.write(new_content) + updated += 1 + +print(f'Updated {updated} controlDict files') diff --git a/scripts/foam_viz.py b/scripts/foam_viz.py new file mode 100644 index 0000000000000000000000000000000000000000..06055aabb55903338b11ea1e4251e903537973c4 --- /dev/null +++ b/scripts/foam_viz.py @@ -0,0 +1,567 @@ +#!/usr/bin/env python3 +""" +foam_viz.py — OpenFOAM 2D VOF 场可视化。 + +从 OpenFOAM case 目录读取 alpha.water 与 U 场， +调用 viz_common.plot_snapshots 生成出版质量快照图。 + +支持串行和并行 (processor*/) case。 + +用法: + from foam_viz import parse_scalar, parse_vector, parse_mesh, plot_foam + python3 foam_viz.py # 直接运行生成全部案例可视化 +""" + +import os +import sys +import re +import struct +import numpy as np + +from viz_common import CASES, plot_snapshots, SUBPLOT_BASE_W + + +# ── OpenFOAM 字段解析 ───────────────────────────────────────────────────────── + +def parse_scalar(path): + """读取 OpenFOAM volScalarField，支持 ASCII 和 binary。""" + with open(path, "rb") as f: + raw = f.read() + + uniform_marker = b"internalField" + uniform_pos = raw.find(uniform_marker) + if uniform_pos != -1: + after = raw[uniform_pos + len(uniform_marker):] + j = 0 + while j < len(after) and after[j:j+1] in b" \t\n\r": + j += 1 + if after[j:j+7] == b"uniform": + val_str = after[j + 7:] + semi = val_str.find(b";") + if semi != -1: + val_text = val_str[:semi].decode("ascii", errors="replace").strip() + try: + return float(val_text) + except ValueError: + pass + + marker = b"nonuniform List" + pos = raw.find(marker) + if pos == -1: + raise ValueError(f"未找到 nonuniform List: {path}") + + rest = raw[pos + len(marker):] + paren = rest.find(b"(") + if paren == -1: + raise ValueError(f"未找到 '(': {path}") + data_start = pos + len(marker) + paren + 1 + + i = data_start + while i < len(raw) and raw[i:i+1] in b" \t\n\r": + i += 1 + line_end = raw.find(b"\n", i) + if line_end == -1: + line_end = len(raw) + first_token = raw[i:line_end].decode("ascii", errors="ignore").strip() + try: + float(first_token) + return _parse_ascii_scalar(raw, data_start) + except (ValueError, UnicodeDecodeError): + return _parse_binary_scalar(raw, data_start) + + +def _parse_ascii_scalar(raw, data_start): + text = raw[data_start:].decode("ascii", errors="replace") + values = [] + for line in text.split("\n"): + s = line.strip() + if s == "" or s.startswith("//"): + continue + if s.startswith(")"): + break + s = s.lstrip("(") + if not s: + continue + try: + values.append(float(s)) + except ValueError: + break + return np.array(values, dtype=np.float64) + + +def _parse_binary_scalar(raw, data_start): + paren_pos = data_start - 1 + line_end = paren_pos + while line_end > 0 and raw[line_end - 1:line_end] in b"\n\r": + line_end -= 1 + num_end = line_end + while num_end > 0 and raw[num_end - 1:num_end].isdigit(): + num_end -= 1 + n_cells = int(raw[num_end:line_end]) + p = data_start + while p < len(raw) and raw[p:p + 1] in b"\n\r": + p += 1 + data_end = p + n_cells * 8 + values = struct.unpack(f"{n_cells}d", raw[p:data_end]) + return np.array(values, dtype=np.float64) + + +def parse_vector(path): + """读取 OpenFOAM volVectorField，支持 ASCII 和 binary。""" + with open(path, "rb") as f: + raw = f.read() + + uniform_marker = b"internalField" + uniform_pos = raw.find(uniform_marker) + if uniform_pos != -1: + after = raw[uniform_pos + len(uniform_marker):] + j = 0 + while j < len(after) and after[j:j+1] in b" \t\n\r": + j += 1 + if after[j:j+7] == b"uniform": + val_str = after[j + 7:] + semi = val_str.find(b";") + if semi != -1: + val_text = val_str[:semi].decode("ascii", errors="replace").strip() + if val_text.startswith("(") and val_text.endswith(")"): + parts = val_text[1:-1].split() + if len(parts) >= 2: + try: + uz_val = float(parts[2]) if len(parts) >= 3 else 0.0 + return float(parts[0]), float(parts[1]), uz_val + except ValueError: + pass + + marker = b"nonuniform List" + pos = raw.find(marker) + if pos == -1: + raise ValueError(f"未找到 nonuniform List: {path}") + + rest = raw[pos + len(marker):] + paren = rest.find(b"(") + if paren == -1: + raise ValueError(f"未找到 '(': {path}") + data_start = pos + len(marker) + paren + 1 + + i = data_start + while i < len(raw) and raw[i:i+1] in b" \t\n\r": + i += 1 + if i < len(raw) and raw[i:i+1] == b"(": + return _parse_ascii_vector(raw, data_start) + else: + return _parse_binary_vector(raw, data_start) + + +def _parse_ascii_vector(raw, data_start): + text = raw[data_start:].decode("ascii", errors="replace") + ux, uy, uz = [], [], [] + for line in text.split("\n"): + s = line.strip() + if s == "" or s.startswith("//"): + continue + if s.startswith(")"): + break + s = s.strip("()") + s = s.strip() + if not s: + continue + try: + parts = s.split() + ux.append(float(parts[0])) + uy.append(float(parts[1])) + uz.append(float(parts[2]) if len(parts) >= 3 else 0.0) + except (ValueError, IndexError): + break + return np.array(ux, dtype=np.float64), np.array(uy, dtype=np.float64), np.array(uz, dtype=np.float64) + + +def _parse_binary_vector(raw, data_start): + paren_pos = data_start - 1 + line_end = paren_pos + while line_end > 0 and raw[line_end - 1:line_end] in b"\n\r": + line_end -= 1 + num_end = line_end + while num_end > 0 and raw[num_end - 1:num_end].isdigit(): + num_end -= 1 + n_cells = int(raw[num_end:line_end]) + p = data_start + while p < len(raw) and raw[p:p + 1] in b"\n\r": + p += 1 + data_end = p + n_cells * 24 + all_vals = struct.unpack(f"{n_cells * 3}d", raw[p:data_end]) + arr = np.array(all_vals, dtype=np.float64).reshape(n_cells, 3) + return arr[:, 0], arr[:, 1], arr[:, 2] + + +# ── 网格解析 ────────────────────────────────────────────────────────────────── + +def parse_mesh(case_dir): + """从 blockMeshDict 解析网格信息。""" + bmd = os.path.join(case_dir, "system", "blockMeshDict") + if not os.path.isfile(bmd): + raise FileNotFoundError(f"blockMeshDict 不存在: {bmd}") + + with open(bmd, "r", encoding="utf-8", errors="replace") as f: + content = f.read() + + v_start = content.find("vertices") + if v_start == -1: + raise ValueError("blockMeshDict 中未找到 vertices") + bracket = content.find("(", v_start) + depth = 0 + end = bracket + for ci in range(bracket, len(content)): + if content[ci] == "(": + depth += 1 + elif content[ci] == ")": + depth -= 1 + if depth == 0: + end = ci + break + v_block = content[bracket + 1:end] + + verts = [] + for m in re.finditer(r"\(([^()]+)\)", v_block): + parts = m.group(1).split() + if len(parts) >= 3: + verts.append([float(parts[0]), float(parts[1]), float(parts[2])]) + elif len(parts) >= 2: + verts.append([float(parts[0]), float(parts[1]), 0.0]) + + verts = np.array(verts) + x0, y0, z0 = verts.min(axis=0) + x1, y1, z1 = verts.max(axis=0) + + b_start = content.find("blocks") + if b_start == -1: + raise ValueError("blockMeshDict 中未找到 blocks") + b_bracket = content.find("(", b_start) + depth = 0 + b_end = b_bracket + for ci in range(b_bracket, len(content)): + if content[ci] == "(": + depth += 1 + elif content[ci] == ")": + depth -= 1 + if depth == 0: + b_end = ci + break + b_block = content[b_bracket + 1:b_end] + + b_tokens = re.findall(r"\(([^()]+)\)", b_block) + if len(b_tokens) >= 2: + nums = b_tokens[1].split() + nx = int(nums[0]) + ny = int(nums[1]) + nz = int(nums[2]) if len(nums) >= 3 else 1 + return {"nx": nx, "ny": ny, "nz": nz, + "x0": x0, "y0": y0, "x1": x1, "y1": y1, + "z0": z0, "z1": z1} + raise ValueError("blockMeshDict 中未解析到 hex block") + + +# ── 并行 case 支持 ──────────────────────────────────────────────────────────── + +def _detect_parallel(case_dir, nx, ny): + """检测并行 case，返回 (proc_dirs, proc_blocks) 或 None。""" + proc_dirs = sorted( + [d for d in os.listdir(case_dir) + if os.path.isdir(os.path.join(case_dir, d)) and d.startswith("processor")], + key=lambda d: int(re.search(r"\d+", d).group()), + ) + if not proc_dirs: + return None + + ref_dir = os.path.join(case_dir, proc_dirs[0]) + t_entries = sorted(os.listdir(ref_dir)) + first_n = nx * ny + for entry in t_entries: + if entry == "0": + continue + u_path = os.path.join(ref_dir, entry, "U") + if os.path.isdir(os.path.join(ref_dir, entry)) and os.path.exists(u_path): + with open(u_path, "rb") as f: + raw = f.read() + m = re.search(r"nonuniform\s+List<\w+>\s+(\d+)", raw.decode("latin-1")) + if m: + first_n = int(m.group(1)) + break + else: + return None + + n_procs = len(proc_dirs) + total = nx * ny + if first_n >= total: + return proc_dirs[:1], [(nx, ny, slice(0, ny), slice(0, nx))] + + dict_path = os.path.join(case_dir, "system", "decomposeParDict") + n_x, n_y = n_procs, 1 + if os.path.exists(dict_path): + with open(dict_path, "r", encoding="latin-1") as f: + content = f.read() + m = re.search(r"n\s*\(\s*(\d+)\s+(\d+)\s+(\d+)\s*\)", content) + if m: + nx_f, ny_f = int(m.group(1)), int(m.group(2)) + if nx_f * ny_f == n_procs: + n_x, n_y = nx_f, ny_f + + blocks = [] + if n_y > 1: + block_nx = nx // n_x + block_ny = ny // n_y + for pid in range(n_procs): + gx = pid % n_x + gy = pid // n_x + bx0, by0 = gx * block_nx, gy * block_ny + bx1 = min(bx0 + block_nx, nx) if gx < n_x - 1 else nx + by1 = min(by0 + block_ny, ny) if gy < n_y - 1 else ny + blocks.append((bx1 - bx0, by1 - by0, slice(by0, by1), slice(bx0, bx1))) + else: + boundaries = [0] + base, rem = divmod(nx, n_x) + for p in range(n_x): + boundaries.append(boundaries[-1] + base + (1 if p < rem else 0)) + for pid in range(n_procs): + pnx = boundaries[pid + 1] - boundaries[pid] + blocks.append((pnx, ny, slice(0, ny), slice(boundaries[pid], boundaries[pid + 1]))) + + return proc_dirs, blocks + + +def _read_parallel_field(proc_dirs, blocks, case_dir, t_dir, field_name, is_vector, ny, nx): + """从 processor 目录组装完整场。""" + if is_vector: + full = np.zeros((ny, nx, 3), dtype=np.float64) + else: + full = np.zeros((ny, nx), dtype=np.float64) + + for proc_dir, (pnx, pny, rows, cols) in zip(proc_dirs, blocks): + fpath = os.path.join(case_dir, proc_dir, t_dir, field_name) + if is_vector: + ux, uy, uz = parse_vector(fpath) + if isinstance(ux, (float, int)): + ux = np.full(pnx * pny, ux) + uy = np.full(pnx * pny, uy) + uz = np.full(pnx * pny, uz) + expected = pnx * pny + if len(ux) > expected: + ux_2d = ux.reshape(ny, nx) + uy_2d = uy.reshape(ny, nx) + uz_2d = uz.reshape(ny, nx) + ux = ux_2d[rows, cols].ravel() + uy = uy_2d[rows, cols].ravel() + uz = uz_2d[rows, cols].ravel() + local = np.column_stack([ux, uy, uz]).reshape(pny, pnx, 3) + full[rows, cols, :] = local + else: + val = parse_scalar(fpath) + if isinstance(val, (float, int)): + val = np.full(pnx * pny, val) + expected = pnx * pny + if len(val) > expected: + val_2d = val.reshape(ny, nx) + val = val_2d[rows, cols].ravel() + full[rows, cols] = val.reshape(pny, pnx) + + return full + + +def _find_parallel_timesteps(case_dir, proc_dirs): + """从 processor0 发现所有数值时间步目录名。""" + ref = os.path.join(case_dir, proc_dirs[0]) + t_dirs = [] + for entry in os.listdir(ref): + if os.path.isdir(os.path.join(ref, entry)): + try: + float(entry) + t_dirs.append(entry) + except ValueError: + continue + t_dirs.sort(key=lambda x: float(x)) + return t_dirs + + +def _find_closest_parallel_timestep(t_dirs, t): + best, best_diff = t_dirs[0], abs(float(t_dirs[0]) - t) + for td in t_dirs: + diff = abs(float(td) - t) + if diff < best_diff: + best, best_diff = td, diff + return best, float(best) + + +def _find_closest_timestep(case_dir, t): + available = [] + for name in os.listdir(case_dir): + full = os.path.join(case_dir, name) + if os.path.isdir(full): + try: + available.append((float(name), name)) + except ValueError: + continue + if not available: + raise FileNotFoundError(f"无时间步目录: {case_dir}") + closest_val, closest_name = min(available, key=lambda x: abs(x[0] - t)) + return closest_name, closest_val + + +# ── 绘图入口 ────────────────────────────────────────────────────────────────── + +def plot_foam(case_dir, timesteps, title, outpath, + max_aspect=None, axis_labels=("x", "y"), arrow_cfg=None): + """从 OpenFOAM case 目录生成快照图。""" + mesh = parse_mesh(case_dir) + nx, ny = mesh["nx"], mesh["ny"] + nz = mesh.get("nz", 1) + + is_xz = (ny == 1 and nz > 1) + if is_xz: + ncols, nrows = nx, nz + d0, d1 = mesh["x0"], mesh["z0"] + d2, d3 = mesh["x1"], mesh["z1"] + mesh_label = f"{nx}x{nz}" + else: + ncols, nrows = nx, ny + d0, d1 = mesh["x0"], mesh["y0"] + d2, d3 = mesh["x1"], mesh["y1"] + mesh_label = f"{nx}x{ny}" + + Ld = d2 - d0 + Lh = d3 - d1 + domain_label = f"{Ld:.3f}x{Lh:.3f}" + + # 检测并行 + parallel = _detect_parallel(case_dir, nx, ny if not is_xz else nz) + par_t_dirs = None + if parallel: + proc_dirs, proc_blocks = parallel + par_t_dirs = _find_parallel_timesteps(case_dir, proc_dirs) + + # 组装 frames + frames = [] + for t in timesteps: + if parallel: + ts_name, ts_val = _find_closest_parallel_timestep(par_t_dirs, t) + alpha_flat = _read_parallel_field( + proc_dirs, proc_blocks, case_dir, ts_name, + "alpha.water", False, nrows, ncols, + ) + u_full = _read_parallel_field( + proc_dirs, proc_blocks, case_dir, ts_name, + "U", True, nrows, ncols, + ) + if is_xz: + alpha_2d = alpha_flat if alpha_flat.ndim == 2 else alpha_flat[:, :, 0] + u_2d, v_2d = u_full[:, :, 0], u_full[:, :, 2] + else: + alpha_2d = alpha_flat if alpha_flat.ndim == 2 else alpha_flat[:, :, 0] + u_2d, v_2d = u_full[:, :, 0], u_full[:, :, 1] + else: + ts_name, ts_val = _find_closest_timestep(case_dir, t) + ts_dir = os.path.join(case_dir, ts_name) + n_cells = ncols * nrows + alpha_raw = parse_scalar(os.path.join(ts_dir, "alpha.water")) + if isinstance(alpha_raw, (float, int)): + alpha_raw = np.full(n_cells, alpha_raw) + alpha_2d = alpha_raw.reshape(nrows, ncols) + + ux, uy, uz = parse_vector(os.path.join(ts_dir, "U")) + if isinstance(ux, (float, int)): + ux = np.full(n_cells, ux) + uy = np.full(n_cells, uy) + uz = np.full(n_cells, uz) + if is_xz: + u_2d = ux.reshape(nrows, ncols) + v_2d = uz.reshape(nrows, ncols) + else: + u_2d = ux.reshape(nrows, ncols) + v_2d = uy.reshape(nrows, ncols) + + frames.append({"alpha": alpha_2d, "u": u_2d, "v": v_2d, "t": ts_val}) + + plot_snapshots( + frames, outpath, title, mesh_label, domain_label, + extent=[d0, d2, d1, d3], + axis_labels=axis_labels, max_aspect=max_aspect, arrow_cfg=arrow_cfg, + ) + + +# ── 测试入口 ────────────────────────────────────────────────────────────────── + +if __name__ == "__main__": + _cwd = os.path.abspath(os.path.join(os.path.dirname(__file__), "..", "..", "..")) + _candidate = os.path.join(_cwd, "Exp", "data") + if os.path.isdir(os.path.join(_candidate, "raw")): + BASE_DIR = os.path.join(_candidate, "raw") + OUT_DIR = os.path.join(_candidate, "visualizations") + elif sys.platform == "win32": + BASE_DIR = r"F:\agent-workspace\paper2\Exp\data\raw" + OUT_DIR = r"F:\agent-workspace\paper2\Exp\data\visualizations" + else: + BASE_DIR = "/mnt/f/agent-workspace/paper2/Exp/data/raw" + OUT_DIR = "/mnt/f/agent-workspace/paper2/Exp/data/visualizations" + os.makedirs(OUT_DIR, exist_ok=True) + + def _auto_select_timesteps(case_dir, requested, nx, ny): + parallel = _detect_parallel(case_dir, nx, ny) + if parallel: + proc_dirs, _ = parallel + available = sorted([float(t) for t in _find_parallel_timesteps(case_dir, proc_dirs)]) + else: + available = [] + for name in os.listdir(case_dir): + full = os.path.join(case_dir, name) + if os.path.isdir(full): + try: + available.append(float(name)) + except ValueError: + continue + available.sort() + if not available: + return requested + t_min, t_max = available[0], available[-1] + valid = [t for t in requested if t_min - 0.01 <= t <= t_max + 0.01] + if len(valid) >= 3: + return valid + n_show = min(5, len(available)) + indices = np.linspace(0, len(available) - 1, n_show, dtype=int) + return [available[i] for i in indices] + + for case_name, cfg in CASES.items(): + print(f"\n{'='*60}") + print(f" {cfg['title']} ({case_name})") + print(f"{'='*60}") + + case_dir = os.path.join(BASE_DIR, case_name, "t00") + if not os.path.isdir(case_dir): + print(f" [SKIP] {case_dir}") + continue + + mesh = parse_mesh(case_dir) + nz = mesh.get("nz", 1) + ncols_vis = mesh["nx"] + nrows_vis = nz if (mesh["ny"] == 1 and nz > 1) else mesh["ny"] + if nz > 1: + print(f" mesh: {mesh['nx']}x{mesh['ny']}x{nz}, " + f"domain: {mesh['x1']-mesh['x0']:.3f}x{mesh['y1']-mesh['y0']:.3f}x{mesh['z1']-mesh['z0']:.3f} m") + else: + print(f" mesh: {mesh['nx']}x{mesh['ny']}, " + f"domain: {mesh['x1']-mesh['x0']:.3f}x{mesh['y1']-mesh['y0']:.3f} m") + + timesteps = _auto_select_timesteps(case_dir, cfg["timesteps"], ncols_vis, nrows_vis) + if timesteps != cfg["timesteps"]: + print(f" 可用时间步: [{timesteps[0]:.2f}...{timesteps[-1]:.2f}], 选取 {len(timesteps)} 个") + + outpath = os.path.join(OUT_DIR, f"{case_name}_foam.png") + plot_foam( + case_dir=case_dir, + timesteps=timesteps, + title=cfg["title"], + outpath=outpath, + max_aspect=cfg.get("max_aspect"), + axis_labels=cfg.get("axis_labels", ("x", "y")), + arrow_cfg=cfg.get("arrow_cfg"), + ) + print(f" -> {outpath}") + + print(f"\n全部完成。输出: {OUT_DIR}") diff --git a/scripts/gen_init_conditions.py b/scripts/gen_init_conditions.py new file mode 100644 index 0000000000000000000000000000000000000000..95c25406af12a40487a83d7f9c9c801953ffd4de --- /dev/null +++ b/scripts/gen_init_conditions.py @@ -0,0 +1,659 @@ +#!/usr/bin/env python3 +""" +gen_init_conditions.py — 从 case 模板生成 N 个 trajectory（不同初始条件） + +使用 Latin Hypercube Sampling (LHS) 采样初始条件参数，复制模板目录， +直接生成 0/ 目录下的 alpha.water 和 U 场文件（stokes_wave 除外， +该类型通过修改 waveProperties 和 setFieldsDict 实现参数化）。 + +四个 case 类型的参数空间: + - dam_break: 水柱宽度、高度 + - rising_bubble: 气泡半径、水平位置、垂直位置 + - droplet_impact: 液滴半径、水平位置、初始高度、撞击速度 + - stokes_wave: 波高、波周期、静水位高度（修改 constant/waveProperties + 和 system/setFieldsDict，alpha.water 由 setFields 初始化） + +用法: + python3 gen_init_conditions.py --templates /opt/cases-templates --output /opt/output/exp-openfoam-001 + +输出目录结构: + output_dir/ + ├── dam_break/ + │ ├── t00/ ← 0/, constant/, system/, Allrun + │ ├── t01/ + │ └── ... + ├── rising_bubble/ + │ ├── t00/ + │ └── ... + ├── droplet_impact/ + │ ├── t00/ + │ └── ... + ├── stokes_wave/ + │ ├── t00/ + │ └── ... + └── manifest.yaml ← 全局 manifest（case 列表 + 参数记录） + +参考文献: + [1] OpenFOAM Foundation. OpenFOAM v9 User Guide, 2021. + [2] Hysing, S. et al. (2009). "Quantitative benchmark computations + of two-dimensional bubble dynamics." Int. J. Numer. Meth. Fluids, + 60(11), 1259-1288. + [3] Pasandideh-Fard, M. et al. (1996). "Capillary effects during + droplet impact on a solid surface." Phys. Fluids, 8(3), 650-659. +""" + +import argparse +import os +import re +import shutil +import logging +from datetime import datetime, timezone + +import numpy as np +from scipy.stats.qmc import LatinHypercube + +try: + import yaml + HAS_YAML = True +except ImportError: + HAS_YAML = False + +# ─── 全局常量 ──────────────────────────────────────────────────────────── + +NUM_TRAJS = 50 # 总 trajectory 数（35 train + 8 val + 7 test） +GLOBAL_SEED = 42 # 全局随机种子（可复现） + +# ─── OpenFOAM 字段文件生成 ────────────────────────────────────────────── + +def write_foam_header(f, obj_name, cls, location="0"): + """写入 OpenFOAM FoamFile header 块""" + f.write("FoamFile\n{\n") + f.write(" version 2.0;\n") + f.write(" format ascii;\n") + f.write(f" class {cls};\n") + f.write(f" location \"{location}\";\n") + f.write(f" object {obj_name};\n") + f.write("}\n\n") + + +def write_scalar_field(path, header_comment, internal_values, dims="[0 0 0 0 0 0 0]"): + """写入 volScalarField（internalField 非均匀列表）""" + n = len(internal_values) + with open(path, "w") as f: + write_foam_header(f, os.path.basename(path), "volScalarField") + f.write(f"dimensions {dims};\n\n") + f.write(f"internalField nonuniform List\n{n}\n(\n") + for val in internal_values: + f.write(f" {val:.10e}\n") + f.write(")\n;\n\n") + # 边界条件从模板复制（此处只写 internalField，BC 已在模板 0/ 中） + # 注意：此处覆写整个文件，BC 由 _copy_boundary_conditions 补回 + + +def write_vector_field(path, header_comment, internal_values, dims="[0 1 -1 0 0 0 0]"): + """写入 volVectorField（internalField 非均匀列表）""" + n = len(internal_values) + with open(path, "w") as f: + write_foam_header(f, os.path.basename(path), "volVectorField") + f.write(f"dimensions {dims};\n\n") + f.write(f"internalField nonuniform List\n{n}\n(\n") + for vx, vy, vz in internal_values: + f.write(f" ({vx:.10e} {vy:.10e} {vz:.10e})\n") + f.write(")\n;\n\n") + + +def _copy_boundary_conditions(src_path, dst_path): + """从模板文件复制 boundaryField 块追加到目标文件""" + with open(src_path, "r") as f: + content = f.read() + # 提取 boundaryField 块（从 boundaryField 到末尾） + m = re.search(r"(boundaryField\s*\{[\s\S]*\})", content) + if m: + with open(dst_path, "a") as f: + f.write("\n") + f.write(m.group(1)) + f.write("\n") + + +def has_simulation_data(output_dir): + """检查目录是否包含仿真结果（log.interFoam 或 0 以外的时间步目录）""" + if not os.path.exists(output_dir): + return False + # 检查 log.interFoam + if os.path.exists(os.path.join(output_dir, "log.interFoam")): + return True + # 检查是否有 0/ 以外的时间步目录 + for entry in os.listdir(output_dir): + full = os.path.join(output_dir, entry) + if os.path.isdir(full) and re.match(r"^\d+(\.\d+)?$", entry): + if entry != "0": + return True + return False + + +def copy_template(template_dir, output_dir, force=False): + """复制 case 模板到输出目录（含 0/ 目录下的所有模板场文件） + + 参数: + force: 若为 False 且 output_dir 已有仿真数据，跳过并返回 False； + 若为 True，强制覆盖。 + 返回: + bool: True 表示复制成功，False 表示跳过 + """ + if os.path.exists(output_dir): + if not force and has_simulation_data(output_dir): + logging.info(f" 跳过（已有仿真数据）: {output_dir}") + return False + shutil.rmtree(output_dir) + shutil.copytree(template_dir, output_dir) + return True + + +# ─── blockMeshDict 解析 ───────────────────────────────────────────────── + +def parse_block_mesh(case_dir): + """从 system/blockMeshDict 解析网格参数 + + 返回: + dict: { + "nx": int, "ny": int, "nz": int, + "x0": float, "y0": float, + "dx": float, "dy": float, + "Lx": float, "Ly": float + } + """ + bmd_path = os.path.join(case_dir, "system", "blockMeshDict") + with open(bmd_path, "r") as f: + content = f.read() + + # 解析 vertices：取第 0 号 (x0, y0, z0) 和第 2 号 (x1, y1, z0) + verts = re.findall(r"\(\s*([\d.eE+\-]+)\s+([\d.eE+\-]+)\s+([\d.eE+\-]+)\s*\)", content) + if len(verts) < 3: + raise ValueError(f"blockMeshDict vertices 不足: {bmd_path}") + x0, y0 = float(verts[0][0]), float(verts[0][1]) + x1, y1 = float(verts[2][0]), float(verts[2][1]) + + # 解析 blocks hex (... ) (nx ny nz) + m = re.search(r"hex\s+\([^)]+\)\s+\(\s*(\d+)\s+(\d+)\s+(\d+)\s*\)", content) + if not m: + raise ValueError(f"无法解析 blockMeshDict blocks: {bmd_path}") + nx, ny, nz = int(m.group(1)), int(m.group(2)), int(m.group(3)) + + Lx = x1 - x0 + Ly = y1 - y0 + dx = Lx / nx + dy = Ly / ny + + return { + "nx": nx, "ny": ny, "nz": nz, + "x0": x0, "y0": y0, + "dx": dx, "dy": dy, + "Lx": Lx, "Ly": Ly + } + + +def compute_cell_centers(mesh): + """计算 cell 中心坐标 + + 返回: + x_centers: np.ndarray, shape (ny, nx) — X 坐标 + y_centers: np.ndarray, shape (ny, nx) — Y 坐标 + flat_idx: np.ndarray, shape (ny*nx,) — 展平索引（行主序） + """ + nx, ny = mesh["nx"], mesh["ny"] + dx, dy = mesh["dx"], mesh["dy"] + x0, y0 = mesh["x0"], mesh["y0"] + + # Cell 中心: x_i = x0 + (i + 0.5) * dx, y_j = y0 + (j + 0.5) * dy + # 行主序: k = j * nx + i (j=Y方向索引, i=X方向索引) + x_1d = np.array([x0 + (i + 0.5) * dx for i in range(nx)]) + y_1d = np.array([y0 + (j + 0.5) * dy for j in range(ny)]) + + # meshgrid: x_centers[j, i], y_centers[j, i] + x_centers, y_centers = np.meshgrid(x_1d, y_1d) # shape (ny, nx) + flat_idx = np.arange(nx * ny) + + return x_centers, y_centers, flat_idx + + +# ─── Case 特定场生成 ─────────────────────────────────────────────────── + +def _generate_dam_break_fields(case_dir, params, mesh, x_centers, y_centers): + """生成 dam_break 的 alpha.water 和 U 初始场 + + 参数: + params: dict {"width": float, "height": float} + - width: 水柱宽度 [m], 默认 (0.08, 0.40) + - height: 水柱高度 [m], 默认 (0.15, 0.50) + """ + nx, ny = mesh["nx"], mesh["ny"] + x0, y0 = mesh["x0"], mesh["y0"] + Lx, Ly = mesh["Lx"], mesh["Ly"] + + width = params["width"] + height = params["height"] + x_wall = x0 + width # 水柱右边界 + + # alpha.water: 水柱区域内 = 1, 外部 = 0 + alpha = np.where( + (x_centers <= x_wall) & (y_centers <= y0 + height), + 1.0, 0.0 + ).ravel() + + # U: 全零初始速度 + u_field = np.zeros((nx * ny, 3)) + + # 写入场文件 + alpha_path = os.path.join(case_dir, "0", "alpha.water") + template_alpha = os.path.join(case_dir, "0", "alpha.water.template") + write_scalar_field(alpha_path, "alpha.water", alpha) + _copy_boundary_conditions(template_alpha, alpha_path) + + u_path = os.path.join(case_dir, "0", "U") + template_u = os.path.join(case_dir, "0", "U.template") + write_vector_field(u_path, "U", u_field) + _copy_boundary_conditions(template_u, u_path) + + +def _generate_rising_bubble_fields(case_dir, params, mesh, x_centers, y_centers): + """生成 rising_bubble 的 alpha.water 和 U 初始场 + + 参数: + params: dict {"radius": float, "cx": float, "cy": float} + - radius: 气泡半径 [m], 固定 0.25（对齐 Hysing Case 1） + - cx: 水平中心 [m], 默认 (0.30, 0.70) + - cy: 垂直中心 [m], 默认 (0.30, 0.80) + """ + nx, ny = mesh["nx"], mesh["ny"] + + radius = params["radius"] + cx = params["cx"] + cy = params["cy"] + + # alpha.water: 气泡内部 (alpha=0), 外部 (alpha=1) + dist = np.sqrt((x_centers - cx)**2 + (y_centers - cy)**2) + alpha = np.where(dist <= radius, 0.0, 1.0).ravel() + + # U: 全零初始速度 + u_field = np.zeros((nx * ny, 3)) + + # 写入场文件 + alpha_path = os.path.join(case_dir, "0", "alpha.water") + template_alpha = os.path.join(case_dir, "0", "alpha.water.template") + write_scalar_field(alpha_path, "alpha.water", alpha) + _copy_boundary_conditions(template_alpha, alpha_path) + + u_path = os.path.join(case_dir, "0", "U") + template_u = os.path.join(case_dir, "0", "U.template") + write_vector_field(u_path, "U", u_field) + _copy_boundary_conditions(template_u, u_path) + + +def _generate_droplet_impact_fields(case_dir, params, mesh, x_centers, y_centers): + """生成 droplet_impact 的 alpha.water 和 U 初始场 + + 参数: + params: dict {"radius": float, "cx": float, "cy": float, "v_impact": float} + - radius: 液滴半径 [m], 默认 (0.015, 0.06) + - cx: 水平中心 [m], 默认域宽 0.4-0.6 + - cy: 初始高度 [m] (液滴中心 Y 坐标), 默认 (0.10, 0.25) + - v_impact: 撞击速度 [m/s], 默认 (0.5, 2.0) + + 参考: Pasandideh-Fard et al. (1996) + 液滴为完整圆形，底部距壁面留有 1.5 cell 间隙，避免与壁面单元重叠。 + """ + nx, ny = mesh["nx"], mesh["ny"] + + radius = params["radius"] + cx = params["cx"] + v_impact = params["v_impact"] + + # 完整圆形液滴，底部距壁面 = 1.5 个网格高度（确保 VOF 界面有足够空间） + dy = mesh["dy"] + gap = dy * 1.5 + cy = radius + gap + + # alpha.water: 完整圆形液滴 (alpha=1), 外部 (alpha=0) + dist = np.sqrt((x_centers - cx)**2 + (y_centers - cy)**2) + is_droplet = dist <= radius + alpha = np.where(is_droplet, 1.0, 0.0).ravel() + + # U: 液滴区域有向下的初始速度 + is_droplet_flat = is_droplet.ravel() + u_field = np.zeros((nx * ny, 3)) + u_field[is_droplet_flat, 1] = -v_impact # Uy = -v_impact + + # 写入场文件 + alpha_path = os.path.join(case_dir, "0", "alpha.water") + template_alpha = os.path.join(case_dir, "0", "alpha.water.template") + write_scalar_field(alpha_path, "alpha.water", alpha) + _copy_boundary_conditions(template_alpha, alpha_path) + + u_path = os.path.join(case_dir, "0", "U") + template_u = os.path.join(case_dir, "0", "U.template") + write_vector_field(u_path, "U", u_field) + _copy_boundary_conditions(template_u, u_path) + + +def _generate_stokes_wave_fields(case_dir, params, mesh, x_centers, y_centers): + """生成 stokes_wave 的 waveProperties 和 setFieldsDict 配置 + + stokes_wave 不直接生成 alpha.water / U 场文件，而是通过修改 + constant/waveProperties 和 system/setFieldsDict 来参数化波浪初始条件。 + alpha.water 由 setFields 在运行时初始化（Allrun 中已含 runParallel setFields）。 + + 参数: + params: dict {"waveHeight": float, "wavePeriod": float, "waterLevel": float} + - waveHeight: 波高 [m], 默认 (0.04, 0.16) + - wavePeriod: 波周期 [s], 默认 (1.2, 3.0) + - waterLevel: 静水位高度 [m], 默认 (0.30, 0.50) + """ + wave_height = params["waveHeight"] + wave_period = params["wavePeriod"] + water_level = params["waterLevel"] + + # --- 修改 constant/waveProperties --- + wp_path = os.path.join(case_dir, "constant", "waveProperties") + with open(wp_path, "r") as f: + wp_content = f.read() + + # 替换 waveHeight 值（保留缩进和尾部注释/分号） + wp_content = re.sub( + r"(waveHeight\s+)[\d.eE+-]+(\s*;.*)", + lambda m: f"{m.group(1)}{wave_height}{m.group(2)}", + wp_content, + ) + # 替换 wavePeriod 值 + wp_content = re.sub( + r"(wavePeriod\s+)[\d.eE+-]+(\s*;.*)", + lambda m: f"{m.group(1)}{wave_period}{m.group(2)}", + wp_content, + ) + + with open(wp_path, "w") as f: + f.write(wp_content) + + # --- 修改 system/setFieldsDict --- + sf_path = os.path.join(case_dir, "system", "setFieldsDict") + with open(sf_path, "r") as f: + sf_content = f.read() + + # 替换 box 定义中的 z 坐标（第三个分量） + # box 格式: box (0 0 0) (30.0 1.0 0.4) —— 替换最后一个数字 + sf_content = re.sub( + r"(box\s+\([^)]+\)\s+\(\s*[\d.eE+-]+\s+[\d.eE+-]+\s+)[\d.eE+-]+(\s*\))", + lambda m: f"{m.group(1)}{water_level}{m.group(2)}", + sf_content, + ) + + with open(sf_path, "w") as f: + f.write(sf_content) + + +# ─── 参数空间定义 ──────────────────────────────────────────────────────── + +PARAM_BOUNDS = { + # 参考: OpenFOAM Foundation. OpenFOAM v9 User Guide, 2021. + "dam_break": { + "width": (0.08, 0.40), # 水柱宽度 [m] + "height": (0.15, 0.50), # 水柱高度 [m] + }, + # 参考: Hysing, S. et al. (2009). Int. J. Numer. Meth. Fluids, 60(11), 1259-1288. + "rising_bubble": { + "radius": (0.25, 0.25), # 气泡半径 [m]，固定 R=0.25m（对齐 Hysing Case 1） + "cx": (0.30, 0.70), # 水平中心 [m] (域宽 1m, R=0.25 → cx∈[0.25,0.75]) + "cy": (0.30, 0.80), # 垂直中心 [m]（域高 2m，Hysing 初始 y=0.5；采样域下半部确保有上升空间） + }, + # 参考: Pasandideh-Fard, M. et al. (1996). Phys. Fluids, 8(3), 650-659. + "droplet_impact": { + "radius": (0.002, 0.004), # 液滴半径 [m]，下界确保 ≥20 cells 直径 + "cx": (0.016, 0.034), # 水平中心 [m] (域宽 0.05m) + "v_impact": (0.5, 1.5), # 撞击速度 [m/s]（Pasandideh-Fard 1996 范围） + }, + "stokes_wave": { + "waveHeight": (0.04, 0.16), # 波高 [m], deep water limit H < 0.78*d=0.624m, keep small + "wavePeriod": (1.2, 3.0), # 波周期 [s], keep within 5th-order Stokes range + "waterLevel": (0.30, 0.50), # 静水位高度 [m], domain height=0.8m + }, +} + +# 约束条件：避免参数组合导致数值问题 +CONSTRAINTS = { + "dam_break": lambda p: p["width"] * p["height"] < 0.20, + "rising_bubble": lambda p: True, # R 固定 0.25m，cx/cy 范围已约束，无需额外过滤 + "droplet_impact": lambda p: p["radius"] > 0, # cy 由函数内部自动计算 + "stokes_wave": lambda p: True, # waveHeight/wavePeriod/waterLevel 相互独立 +} + +# Case 类型 → 场生成函数 +FIELD_GENERATORS = { + "dam_break": _generate_dam_break_fields, + "rising_bubble": _generate_rising_bubble_fields, + "droplet_impact": _generate_droplet_impact_fields, + "stokes_wave": _generate_stokes_wave_fields, +} + + +def generate_case_params(case_type, n_samples, seed=GLOBAL_SEED): + """使用 LHS 生成 case 参数 + + 返回: + list[dict]: 每个元素是一个参数字典，键为参数名，值为采样值 + """ + bounds = PARAM_BOUNDS[case_type] + param_names = list(bounds.keys()) + n_dims = len(param_names) + + sampler = LatinHypercube(d=n_dims, seed=seed) + raw_samples = sampler.random(n=n_samples) + + # 缩放到实际参数范围 + params_list = [] + for row in raw_samples: + p = {} + for i, name in enumerate(param_names): + lo, hi = bounds[name] + p[name] = lo + row[i] * (hi - lo) + params_list.append(p) + + # 应用约束过滤（不满足约束的重新采样） + constraint = CONSTRAINTS.get(case_type) + if constraint: + rng = np.random.default_rng(seed + 1000) + for i, p in enumerate(params_list): + attempts = 0 + while not constraint(p) and attempts < 100: + # 重新采样该点 + new_sample = rng.random(n_dims) + for j, name in enumerate(param_names): + lo, hi = bounds[name] + p[name] = lo + new_sample[j] * (hi - lo) + attempts += 1 + if attempts >= 100: + logging.warning(f" 约束过滤超时: sample {i}, 使用当前参数") + + return params_list + + +# ─── 主流程 ───────────────────────────────────────────────────────────── + +def generate_trajectories(templates_dir, output_dir, num_trajs=NUM_TRAJS, + case_types=None, force=False): + """为指定 case 类型生成 trajectory + + 参数: + templates_dir: 模板根目录 + output_dir: 输出目录 + num_trajs: 每个 case 类型的 trajectory 数 + case_types: 要生成的 case 类型列表（None = 全部四个） + + 流程: + 1. 从模板复制 constant/ 和 system/ 目录 + 2. 复制 0/ 模板作为 .template 备份 + 3. 解析 blockMeshDict 获取网格参数 + 4. LHS 采样初始条件参数 + 5. 直接生成 0/alpha.water 和 0/U 场文件 + 6. 写入 manifest.yaml + """ + os.makedirs(output_dir, exist_ok=True) + all_case_types = ["dam_break", "rising_bubble", "droplet_impact", "stokes_wave"] + if case_types is None: + case_types = all_case_types + else: + # 验证输入 + for ct in case_types: + if ct not in all_case_types: + raise ValueError(f"未知 case 类型: {ct}，可选: {all_case_types}") + manifest_entries = [] + + for case_type in case_types: + template_path = os.path.join(templates_dir, case_type, "base") + if not os.path.isdir(template_path): + logging.error(f"模板目录不存在: {template_path}") + continue + + logging.info(f"=== 生成 {case_type} ({num_trajs} trajectories) ===") + + # 生成参数 + params_list = generate_case_params(case_type, num_trajs) + + # 打印参数统计 + for name in params_list[0].keys(): + vals = [p[name] for p in params_list] + logging.info(f" {name}: min={min(vals):.6f}, max={max(vals):.6f}, " + f"mean={np.mean(vals):.6f}") + + skipped = 0 + for traj_idx, params in enumerate(params_list): + traj_name = f"t{traj_idx:02d}" + case_dir = os.path.join(output_dir, case_type, traj_name) + + # 1. 复制模板（已有仿真数据时跳过，除非 --force） + if not copy_template(template_path, case_dir, force=force): + skipped += 1 + continue + + # 2. 复制 0/ 模板文件作为 .template 备份 + template_0 = os.path.join(template_path, "0") + for fname in ["alpha.water", "U"]: + src = os.path.join(template_0, fname) + if os.path.exists(src): + dst = os.path.join(case_dir, "0", f"{fname}.template") + shutil.copy2(src, dst) + + # 3. 解析网格 + mesh = parse_block_mesh(case_dir) + x_centers, y_centers, _ = compute_cell_centers(mesh) + + # 4. 生成初始场 + generator = FIELD_GENERATORS[case_type] + generator(case_dir, params, mesh, x_centers, y_centers) + + # 5. 记录 manifest + entry = { + "traj_idx": traj_idx, + "traj_name": traj_name, + "case_type": case_type, + "case_dir": case_dir, + "params": {k: float(v) for k, v in params.items()}, + "mesh": { + "nx": mesh["nx"], + "ny": mesh["ny"], + "Lx": mesh["Lx"], + "Ly": mesh["Ly"], + }, + "split": "train" if traj_idx < 35 else ("val" if traj_idx < 43 else "test"), + } + manifest_entries.append(entry) + + logging.info(f" {case_type} 完成: {num_trajs - skipped} trajectories 生成, {skipped} 跳过") + + # 写入 manifest + manifest = { + "generated_at": datetime.now(timezone.utc).isoformat(), + "generator": "gen_init_conditions.py", + "global_seed": GLOBAL_SEED, + "num_trajs_per_case": num_trajs, + "split": { + "train": "indices 0-34", + "val": "indices 35-42", + "test": "indices 43-49", + }, + "references": [ + "OpenFOAM Foundation. OpenFOAM v9 User Guide, 2021.", + "Hysing, S. et al. (2009). Int. J. Numer. Meth. Fluids, 60(11), 1259-1288.", + "Pasandideh-Fard, M. et al. (1996). Phys. Fluids, 8(3), 650-659.", + ], + "cases": manifest_entries, + } + + if HAS_YAML: + manifest_path = os.path.join(output_dir, "manifest.yaml") + with open(manifest_path, "w") as f: + yaml.dump(manifest, f, default_flow_style=False, allow_unicode=True, sort_keys=False) + logging.info(f"Manifest 写入: {manifest_path}") + else: + # 无 yaml 模块时写入 JSON 格式 + import json + manifest_path = os.path.join(output_dir, "manifest.json") + with open(manifest_path, "w") as f: + json.dump(manifest, f, indent=2) + logging.info(f"Manifest 写入 (JSON): {manifest_path}") + + +def main(): + parser = argparse.ArgumentParser( + description="从 case 模板生成 N 个 trajectory（LHS 参数采样）" + ) + parser.add_argument( + "--templates", type=str, default="/mnt/f/agent-workspace/paper2/Exp/data/templates", + help="Case 模板根目录（含 dam_break/, rising_bubble/, droplet_impact/, stokes_wave/ 子目录）" + ) + parser.add_argument( + "--output", type=str, default="/mnt/f/agent-workspace/paper2/Exp/data/raw", + help="输出目录" + ) + parser.add_argument( + "--num-trajs", type=int, default=NUM_TRAJS, + help=f"每个 case 的 trajectory 数（默认 {NUM_TRAJS}）" + ) + parser.add_argument( + "--seed", type=int, default=GLOBAL_SEED, + help=f"全局随机种子（默认 {GLOBAL_SEED}）" + ) + parser.add_argument( + "--case-types", type=str, nargs="+", default=None, + choices=["dam_break", "rising_bubble", "droplet_impact", "stokes_wave"], + help="要生成的 case 类型（默认全部）。可选: dam_break, rising_bubble, droplet_impact, stokes_wave" + ) + parser.add_argument( + "--force", action="store_true", + help="强制覆盖已有仿真数据（默认跳过已有数据的 case）" + ) + parser.add_argument( + "-v", "--verbose", action="store_true", + help="详细日志输出" + ) + args = parser.parse_args() + + logging.basicConfig( + level=logging.DEBUG if args.verbose else logging.INFO, + format="%(asctime)s [%(levelname)s] %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + ) + + logging.info(f"模板目录: {args.templates}") + logging.info(f"输出目录: {args.output}") + logging.info(f"Trajectory 数: {args.num_trajs}") + logging.info(f"随机种子: {args.seed}") + if args.case_types: + logging.info(f"Case 类型: {args.case_types}") + + generate_trajectories(args.templates, args.output, args.num_trajs, + case_types=args.case_types, force=args.force) + + logging.info("=== 全部完成 ===") + + +if __name__ == "__main__": + main() diff --git a/scripts/inspect_h5.py b/scripts/inspect_h5.py new file mode 100644 index 0000000000000000000000000000000000000000..cf84adb4d79d05c2a9128e2b74caec34b9aebc9d --- /dev/null +++ b/scripts/inspect_h5.py @@ -0,0 +1,10 @@ +import h5py, sys +path = sys.argv[1] if len(sys.argv) > 1 else r"X:\0Agents-workspace\scholarship\paper2\Exp\data\raw\exp-000\dam_break\traj_0000.h5" +with h5py.File(path, "r") as f: + print(f"Keys: {list(f.keys())}") + for k in f.keys(): + d = f[k] + if hasattr(d, "shape"): + print(f" {k}: shape={d.shape}, dtype={d.dtype}, min={d[:].min():.6f}, max={d[:].max():.6f}") + else: + print(f" {k}: {type(d).__name__} = {d}") diff --git a/scripts/loop_dam_break.log b/scripts/loop_dam_break.log new file mode 100644 index 0000000000000000000000000000000000000000..bf4bcbcf7caa4b2505d1d71d276bc64d553ca513 --- /dev/null +++ b/scripts/loop_dam_break.log @@ -0,0 +1,12 @@ +[2026-07-11 11:36:24] ========================================= +[2026-07-11 11:36:24] dam_break 循环运行 (t00-t49) +[2026-07-11 11:36:24] MPI: 16 +[2026-07-11 11:36:24] ========================================= +[2026-07-11 11:36:24] [START] t00 +[2026-07-11 12:51:55] ========================================= +[2026-07-11 12:51:55] dam_break 循环运行 (t00-t49) +[2026-07-11 12:51:55] MPI: 16 +[2026-07-11 12:51:55] ========================================= +[2026-07-11 12:51:56] [START] t00 +[2026-07-11 13:08:51] [DONE] t00 (16m55s) +[2026-07-11 13:08:51] [START] t01 diff --git a/scripts/loop_droplet.log b/scripts/loop_droplet.log new file mode 100644 index 0000000000000000000000000000000000000000..b2a1aec69f249c609fbe46085659a67090f634a0 --- /dev/null +++ b/scripts/loop_droplet.log @@ -0,0 +1,421 @@ +[2026-07-01 22:54:11] ========================================= +[2026-07-01 22:54:11] droplet_impact 循环运行 (t01-t49) +[2026-07-01 22:54:11] MPI: 16 +[2026-07-01 22:54:11] ========================================= +[2026-07-01 22:54:11] [START] t01 +[2026-07-02 01:08:11] [DONE] t01 (134m0s) +[2026-07-02 01:08:11] [START] t02 +[2026-07-02 03:14:21] [DONE] t02 (126m10s) +[2026-07-02 03:14:21] [START] t03 +[2026-07-02 04:33:41] [DONE] t03 (79m20s) +[2026-07-02 04:33:41] [START] t04 +[2026-07-02 08:30:44] [DONE] t04 (237m3s) +[2026-07-02 08:30:44] [START] t05 +[2026-07-02 13:41:23] ========================================= +[2026-07-02 13:41:23] droplet_impact 循环运行 (t01-t49) +[2026-07-02 13:41:23] MPI: 16 +[2026-07-02 13:41:23] ========================================= +[2026-07-02 13:41:24] [SKIP] t01 — 已完成 +[2026-07-02 13:41:24] [SKIP] t02 — 已完成 +[2026-07-02 13:41:24] [SKIP] t03 — 已完成 +[2026-07-02 13:41:24] [SKIP] t04 — 已完成 +[2026-07-02 13:41:24] [START] t05 +[2026-07-02 16:17:39] [DONE] t05 (156m15s) +[2026-07-02 16:17:39] [START] t06 +[2026-07-02 17:20:05] [DONE] t06 (62m26s) +[2026-07-02 17:20:05] [START] t07 +[2026-07-03 18:48:51] ========================================= +[2026-07-03 18:48:51] droplet_impact 循环运行 (t01-t49) +[2026-07-03 18:48:51] MPI: 16 +[2026-07-03 18:48:51] ========================================= +[2026-07-03 18:48:52] [SKIP] t01 — 已完成 +[2026-07-03 18:48:52] [SKIP] t02 — 已完成 +[2026-07-03 18:48:52] [SKIP] t03 — 已完成 +[2026-07-03 18:48:52] [SKIP] t04 — 已完成 +[2026-07-03 18:48:52] [SKIP] t05 — 已完成 +[2026-07-03 18:48:52] [SKIP] t06 — 已完成 +[2026-07-03 18:48:52] [START] t07 +[2026-07-06 17:45:10] ========================================= +[2026-07-06 17:45:10] droplet_impact 循环运行 (t01-t49) +[2026-07-06 17:45:10] MPI: 16 +[2026-07-06 17:45:10] ========================================= +[2026-07-06 17:45:10] [SKIP] t01 — 已完成 +[2026-07-06 17:45:10] [SKIP] t02 — 已完成 +[2026-07-06 17:45:10] [SKIP] t03 — 已完成 +[2026-07-06 17:45:10] [SKIP] t04 — 已完成 +[2026-07-06 17:45:10] [SKIP] t05 — 已完成 +[2026-07-06 17:45:10] [SKIP] t06 — 已完成 +[2026-07-06 17:45:10] [START] t07 +[2026-07-07 11:25:49] [FAIL] t07 — interFoam 未完成 (1060m39s) +[2026-07-07 11:25:49] [START] t08 +[2026-07-07 11:27:09] ========================================= +[2026-07-07 11:27:09] droplet_impact 循环运行 (t01-t49) +[2026-07-07 11:27:09] MPI: 16 +[2026-07-07 11:27:09] ========================================= +[2026-07-07 11:27:09] [SKIP] t01 — 已完成 +[2026-07-07 11:27:09] [SKIP] t02 — 已完成 +[2026-07-07 11:27:09] [SKIP] t03 — 已完成 +[2026-07-07 11:27:10] [SKIP] t04 — 已完成 +[2026-07-07 11:27:10] [SKIP] t05 — 已完成 +[2026-07-07 11:27:10] [SKIP] t06 — 已完成 +[2026-07-07 11:27:10] [SKIP] t07 — 已完成 +[2026-07-07 11:27:10] [START] t08 +[2026-07-07 14:14:09] [DONE] t08 (166m59s) +[2026-07-07 14:14:09] [START] t09 +[2026-07-07 15:19:11] [DONE] t09 (65m2s) +[2026-07-07 15:19:11] [START] t10 +[2026-07-07 15:27:29] [DONE] t10 (8m18s) +[2026-07-07 15:27:29] [START] t11 +[2026-07-07 16:33:27] [DONE] t11 (65m58s) +[2026-07-07 16:33:27] [START] t12 +[2026-07-07 17:03:34] [DONE] t12 (30m7s) +[2026-07-07 17:03:34] [START] t13 +[2026-07-07 17:26:24] [DONE] t13 (22m50s) +[2026-07-07 17:26:24] [START] t14 +[2026-07-07 20:00:45] ========================================= +[2026-07-07 20:00:45] droplet_impact 循环运行 (t01-t49) +[2026-07-07 20:00:45] MPI: 16 +[2026-07-07 20:00:45] ========================================= +[2026-07-07 20:00:45] [SKIP] t01 — 已完成 +[2026-07-07 20:00:45] [SKIP] t02 — 已完成 +[2026-07-07 20:00:45] [SKIP] t03 — 已完成 +[2026-07-07 20:00:45] [SKIP] t04 — 已完成 +[2026-07-07 20:00:45] [SKIP] t05 — 已完成 +[2026-07-07 20:00:45] [SKIP] t06 — 已完成 +[2026-07-07 20:00:45] [SKIP] t07 — 已完成 +[2026-07-07 20:00:45] [SKIP] t08 — 已完成 +[2026-07-07 20:00:46] [SKIP] t09 — 已完成 +[2026-07-07 20:00:46] [SKIP] t10 — 已完成 +[2026-07-07 20:00:46] [SKIP] t11 — 已完成 +[2026-07-07 20:00:46] [SKIP] t12 — 已完成 +[2026-07-07 20:00:46] [SKIP] t13 — 已完成 +[2026-07-07 20:00:46] [START] t14 +[2026-07-07 21:27:14] [DONE] t14 (86m28s) +[2026-07-07 21:27:14] [START] t15 +[2026-07-07 22:27:01] ========================================= +[2026-07-07 22:27:01] droplet_impact 循环运行 (t01-t49) +[2026-07-07 22:27:01] MPI: 16 +[2026-07-07 22:27:01] ========================================= +[2026-07-07 22:27:01] [SKIP] t01 — 已完成 +[2026-07-07 22:27:01] [SKIP] t02 — 已完成 +[2026-07-07 22:27:01] [SKIP] t03 — 已完成 +[2026-07-07 22:27:01] [SKIP] t04 — 已完成 +[2026-07-07 22:27:01] [SKIP] t05 — 已完成 +[2026-07-07 22:27:02] [SKIP] t06 — 已完成 +[2026-07-07 22:27:02] [SKIP] t07 — 已完成 +[2026-07-07 22:27:02] [SKIP] t08 — 已完成 +[2026-07-07 22:27:02] [SKIP] t09 — 已完成 +[2026-07-07 22:27:02] [SKIP] t10 — 已完成 +[2026-07-07 22:27:02] [SKIP] t11 — 已完成 +[2026-07-07 22:27:02] [SKIP] t12 — 已完成 +[2026-07-07 22:27:02] [SKIP] t13 — 已完成 +[2026-07-07 22:27:02] [SKIP] t14 — 已完成 +[2026-07-07 22:27:03] [START] t15 +[2026-07-07 22:45:51] ========================================= +[2026-07-07 22:45:51] droplet_impact 循环运行 (t01-t49) +[2026-07-07 22:45:51] MPI: 16 +[2026-07-07 22:45:51] ========================================= +[2026-07-07 22:45:51] [SKIP] t01 — 已完成 +[2026-07-07 22:45:52] [SKIP] t02 — 已完成 +[2026-07-07 22:45:52] [SKIP] t03 — 已完成 +[2026-07-07 22:45:52] [SKIP] t04 — 已完成 +[2026-07-07 22:45:52] [SKIP] t05 — 已完成 +[2026-07-07 22:45:52] [SKIP] t06 — 已完成 +[2026-07-07 22:45:52] [SKIP] t07 — 已完成 +[2026-07-07 22:45:52] [SKIP] t08 — 已完成 +[2026-07-07 22:45:52] [SKIP] t09 — 已完成 +[2026-07-07 22:45:52] [SKIP] t10 — 已完成 +[2026-07-07 22:45:53] [SKIP] t11 — 已完成 +[2026-07-07 22:45:53] [SKIP] t12 — 已完成 +[2026-07-07 22:45:53] [SKIP] t13 — 已完成 +[2026-07-07 22:45:53] [SKIP] t14 — 已完成 +[2026-07-07 22:45:53] [START] t15 +[2026-07-08 03:19:05] ========================================= +[2026-07-08 03:19:05] droplet_impact 循环运行 (t01-t49) +[2026-07-08 03:19:05] MPI: 16 +[2026-07-08 03:19:05] ========================================= +[2026-07-08 03:19:05] [SKIP] t01 — 已完成 +[2026-07-08 03:19:06] [SKIP] t02 — 已完成 +[2026-07-08 03:19:06] [SKIP] t03 — 已完成 +[2026-07-08 03:19:06] [SKIP] t04 — 已完成 +[2026-07-08 03:19:06] [SKIP] t05 — 已完成 +[2026-07-08 03:19:06] [SKIP] t06 — 已完成 +[2026-07-08 03:19:06] [SKIP] t07 — 已完成 +[2026-07-08 03:19:06] [SKIP] t08 — 已完成 +[2026-07-08 03:19:06] [SKIP] t09 — 已完成 +[2026-07-08 03:19:06] [SKIP] t10 — 已完成 +[2026-07-08 03:19:06] [SKIP] t11 — 已完成 +[2026-07-08 03:19:06] [SKIP] t12 — 已完成 +[2026-07-08 03:19:06] [SKIP] t13 — 已完成 +[2026-07-08 03:19:06] [SKIP] t14 — 已完成 +[2026-07-08 03:19:06] [START] t15 +[2026-07-08 05:12:57] [DONE] t15 (113m51s) +[2026-07-08 05:12:57] [START] t16 +[2026-07-08 05:27:40] [DONE] t16 (14m43s) +[2026-07-08 05:27:40] [START] t17 +[2026-07-08 05:46:25] [DONE] t17 (18m45s) +[2026-07-08 05:46:25] [START] t18 +[2026-07-08 08:59:14] ========================================= +[2026-07-08 08:59:14] droplet_impact 循环运行 (t01-t49) +[2026-07-08 08:59:14] MPI: 16 +[2026-07-08 08:59:14] ========================================= +[2026-07-08 08:59:14] [SKIP] t01 — 已完成 +[2026-07-08 08:59:14] [SKIP] t02 — 已完成 +[2026-07-08 08:59:14] [SKIP] t03 — 已完成 +[2026-07-08 08:59:15] [SKIP] t04 — 已完成 +[2026-07-08 08:59:15] [SKIP] t05 — 已完成 +[2026-07-08 08:59:15] [SKIP] t06 — 已完成 +[2026-07-08 08:59:15] [SKIP] t07 — 已完成 +[2026-07-08 08:59:15] [SKIP] t08 — 已完成 +[2026-07-08 08:59:15] [SKIP] t09 — 已完成 +[2026-07-08 08:59:15] [SKIP] t10 — 已完成 +[2026-07-08 08:59:15] [SKIP] t11 — 已完成 +[2026-07-08 08:59:15] [SKIP] t12 — 已完成 +[2026-07-08 08:59:15] [SKIP] t13 — 已完成 +[2026-07-08 08:59:15] [SKIP] t14 — 已完成 +[2026-07-08 08:59:15] [SKIP] t15 — 已完成 +[2026-07-08 08:59:15] [SKIP] t16 — 已完成 +[2026-07-08 08:59:15] [SKIP] t17 — 已完成 +[2026-07-08 08:59:15] [START] t18 +[2026-07-08 10:04:38] [DONE] t18 (65m23s) +[2026-07-08 10:04:38] [START] t19 +[2026-07-08 11:21:41] [DONE] t19 (77m3s) +[2026-07-08 11:21:41] [START] t20 +[2026-07-08 12:16:02] [DONE] t20 (54m21s) +[2026-07-08 12:16:02] [START] t21 +[2026-07-08 13:25:14] [DONE] t21 (69m12s) +[2026-07-08 13:25:14] [START] t22 +[2026-07-08 15:29:32] ========================================= +[2026-07-08 15:29:32] droplet_impact 循环运行 (t01-t49) +[2026-07-08 15:29:32] MPI: 16 +[2026-07-08 15:29:32] ========================================= +[2026-07-08 15:29:32] [SKIP] t01 — 已完成 +[2026-07-08 15:29:32] [SKIP] t02 — 已完成 +[2026-07-08 15:29:32] [SKIP] t03 — 已完成 +[2026-07-08 15:29:32] [SKIP] t04 — 已完成 +[2026-07-08 15:29:32] [SKIP] t05 — 已完成 +[2026-07-08 15:29:33] [SKIP] t06 — 已完成 +[2026-07-08 15:29:33] [SKIP] t07 — 已完成 +[2026-07-08 15:29:33] [SKIP] t08 — 已完成 +[2026-07-08 15:29:33] [SKIP] t09 — 已完成 +[2026-07-08 15:29:33] [SKIP] t10 — 已完成 +[2026-07-08 15:29:33] [SKIP] t11 — 已完成 +[2026-07-08 15:29:33] [SKIP] t12 — 已完成 +[2026-07-08 15:29:33] [SKIP] t13 — 已完成 +[2026-07-08 15:29:33] [SKIP] t14 — 已完成 +[2026-07-08 15:29:33] [SKIP] t15 — 已完成 +[2026-07-08 15:29:33] [SKIP] t16 — 已完成 +[2026-07-08 15:29:33] [SKIP] t17 — 已完成 +[2026-07-08 15:29:33] [SKIP] t18 — 已完成 +[2026-07-08 15:29:33] [SKIP] t19 — 已完成 +[2026-07-08 15:29:33] [SKIP] t20 — 已完成 +[2026-07-08 15:29:33] [SKIP] t21 — 已完成 +[2026-07-08 15:29:33] [START] t22 +[2026-07-08 16:58:13] [DONE] t22 (88m40s) +[2026-07-08 16:58:13] [START] t23 +[2026-07-08 17:48:01] [DONE] t23 (49m48s) +[2026-07-08 17:48:01] [START] t24 +[2026-07-08 18:04:48] [DONE] t24 (16m47s) +[2026-07-08 18:04:48] [START] t25 +[2026-07-08 18:42:35] [DONE] t25 (37m47s) +[2026-07-08 18:42:35] [START] t26 +[2026-07-08 20:10:04] ========================================= +[2026-07-08 20:10:04] droplet_impact 循环运行 (t01-t49) +[2026-07-08 20:10:04] MPI: 16 +[2026-07-08 20:10:04] ========================================= +[2026-07-08 20:10:05] [SKIP] t01 — 已完成 +[2026-07-08 20:10:05] [SKIP] t02 — 已完成 +[2026-07-08 20:10:06] [SKIP] t03 — 已完成 +[2026-07-08 20:10:06] [SKIP] t04 — 已完成 +[2026-07-08 20:10:07] [SKIP] t05 — 已完成 +[2026-07-08 20:10:08] [SKIP] t06 — 已完成 +[2026-07-08 20:10:09] [SKIP] t07 — 已完成 +[2026-07-08 20:10:10] [SKIP] t08 — 已完成 +[2026-07-08 20:10:11] [SKIP] t09 — 已完成 +[2026-07-08 20:10:11] [SKIP] t10 — 已完成 +[2026-07-08 20:10:12] [SKIP] t11 — 已完成 +[2026-07-08 20:10:12] [SKIP] t12 — 已完成 +[2026-07-08 20:10:13] [SKIP] t13 — 已完成 +[2026-07-08 20:10:13] [SKIP] t14 — 已完成 +[2026-07-08 20:10:14] [SKIP] t15 — 已完成 +[2026-07-08 20:10:15] [SKIP] t16 — 已完成 +[2026-07-08 20:10:15] [SKIP] t17 — 已完成 +[2026-07-08 20:10:16] [SKIP] t18 — 已完成 +[2026-07-08 20:10:17] [SKIP] t19 — 已完成 +[2026-07-08 20:10:17] [SKIP] t20 — 已完成 +[2026-07-08 20:10:18] [SKIP] t21 — 已完成 +[2026-07-08 20:10:19] [SKIP] t22 — 已完成 +[2026-07-08 20:10:19] [SKIP] t23 — 已完成 +[2026-07-08 20:10:20] [SKIP] t24 — 已完成 +[2026-07-08 20:10:20] [SKIP] t25 — 已完成 +[2026-07-08 20:10:21] [START] t26 +[2026-07-08 23:36:05] [DONE] t26 (205m44s) +[2026-07-08 23:36:05] [START] t27 +[2026-07-08 23:48:48] [DONE] t27 (12m43s) +[2026-07-08 23:48:48] [START] t28 +[2026-07-09 00:20:03] [DONE] t28 (31m15s) +[2026-07-09 00:20:03] [START] t29 +[2026-07-09 01:35:50] [DONE] t29 (75m47s) +[2026-07-09 01:35:50] [START] t30 +[2026-07-09 01:50:49] [DONE] t30 (14m59s) +[2026-07-09 01:50:49] [START] t31 +[2026-07-09 02:17:09] [DONE] t31 (26m20s) +[2026-07-09 02:17:09] [START] t32 +[2026-07-09 03:00:47] [DONE] t32 (43m38s) +[2026-07-09 03:00:47] [START] t33 +[2026-07-09 03:46:57] [FAIL] t33 — interFoam 未完成 (46m10s) +[2026-07-09 03:46:57] [START] t34 +[2026-07-09 04:05:23] [DONE] t34 (18m26s) +[2026-07-09 04:05:23] [START] t35 +[2026-07-09 07:05:37] [DONE] t35 (180m14s) +[2026-07-09 07:05:37] [START] t36 +[2026-07-09 07:18:37] [DONE] t36 (13m0s) +[2026-07-09 07:18:37] [START] t37 +[2026-07-09 07:32:24] [DONE] t37 (13m47s) +[2026-07-09 07:32:24] [START] t38 +[2026-07-09 07:43:26] [DONE] t38 (11m2s) +[2026-07-09 07:43:26] [START] t39 +[2026-07-09 07:53:17] [DONE] t39 (9m51s) +[2026-07-09 07:53:17] [START] t40 +[2026-07-09 09:38:34] [DONE] t40 (105m17s) +[2026-07-09 09:38:34] [START] t41 +[2026-07-09 09:52:47] [DONE] t41 (14m13s) +[2026-07-09 09:52:47] [START] t42 +[2026-07-09 10:05:49] [DONE] t42 (13m2s) +[2026-07-09 10:05:49] [START] t43 +[2026-07-09 10:17:23] [DONE] t43 (11m34s) +[2026-07-09 10:17:23] [START] t44 +[2026-07-09 10:30:29] [DONE] t44 (13m6s) +[2026-07-09 10:30:29] [START] t45 +[2026-07-09 10:56:00] ========================================= +[2026-07-09 10:56:00] droplet_impact 循环运行 (t01-t49) +[2026-07-09 10:56:00] MPI: 16 +[2026-07-09 10:56:00] ========================================= +[2026-07-09 10:56:00] [SKIP] t01 — 已完成 +[2026-07-09 10:56:00] [SKIP] t02 — 已完成 +[2026-07-09 10:56:00] [SKIP] t03 — 已完成 +[2026-07-09 10:56:00] [SKIP] t04 — 已完成 +[2026-07-09 10:56:01] [SKIP] t05 — 已完成 +[2026-07-09 10:56:01] [SKIP] t06 — 已完成 +[2026-07-09 10:56:01] [SKIP] t07 — 已完成 +[2026-07-09 10:56:01] [SKIP] t08 — 已完成 +[2026-07-09 10:56:01] [SKIP] t09 — 已完成 +[2026-07-09 10:56:01] [SKIP] t10 — 已完成 +[2026-07-09 10:56:01] [SKIP] t11 — 已完成 +[2026-07-09 10:56:01] [SKIP] t12 — 已完成 +[2026-07-09 10:56:02] [SKIP] t13 — 已完成 +[2026-07-09 10:56:02] [SKIP] t14 — 已完成 +[2026-07-09 10:56:02] [SKIP] t15 — 已完成 +[2026-07-09 10:56:02] [SKIP] t16 — 已完成 +[2026-07-09 10:56:02] [SKIP] t17 — 已完成 +[2026-07-09 10:56:02] [SKIP] t18 — 已完成 +[2026-07-09 10:56:02] [SKIP] t19 — 已完成 +[2026-07-09 10:56:02] [SKIP] t20 — 已完成 +[2026-07-09 10:56:02] [SKIP] t21 — 已完成 +[2026-07-09 10:56:02] [SKIP] t22 — 已完成 +[2026-07-09 10:56:02] [SKIP] t23 — 已完成 +[2026-07-09 10:56:02] [SKIP] t24 — 已完成 +[2026-07-09 10:56:02] [SKIP] t25 — 已完成 +[2026-07-09 10:56:03] [SKIP] t26 — 已完成 +[2026-07-09 10:56:03] [SKIP] t27 — 已完成 +[2026-07-09 10:56:03] [SKIP] t28 — 已完成 +[2026-07-09 10:56:03] [SKIP] t29 — 已完成 +[2026-07-09 10:56:03] [SKIP] t30 — 已完成 +[2026-07-09 10:56:03] [SKIP] t31 — 已完成 +[2026-07-09 10:56:03] [SKIP] t32 — 已完成 +[2026-07-09 10:56:03] [START] t33 +[2026-07-09 13:31:29] ========================================= +[2026-07-09 13:31:29] droplet_impact 循环运行 (t01-t49) +[2026-07-09 13:31:29] MPI: 16 +[2026-07-09 13:31:29] ========================================= +[2026-07-09 13:31:30] [SKIP] t01 — 已完成 +[2026-07-09 13:31:30] [SKIP] t02 — 已完成 +[2026-07-09 13:31:30] [SKIP] t03 — 已完成 +[2026-07-09 13:31:30] [SKIP] t04 — 已完成 +[2026-07-09 13:31:30] [SKIP] t05 — 已完成 +[2026-07-09 13:31:30] [SKIP] t06 — 已完成 +[2026-07-09 13:31:30] [SKIP] t07 — 已完成 +[2026-07-09 13:31:30] [SKIP] t08 — 已完成 +[2026-07-09 13:31:31] [SKIP] t09 — 已完成 +[2026-07-09 13:31:31] [SKIP] t10 — 已完成 +[2026-07-09 13:31:31] [SKIP] t11 — 已完成 +[2026-07-09 13:31:31] [SKIP] t12 — 已完成 +[2026-07-09 13:31:31] [SKIP] t13 — 已完成 +[2026-07-09 13:31:31] [SKIP] t14 — 已完成 +[2026-07-09 13:31:31] [SKIP] t15 — 已完成 +[2026-07-09 13:31:31] [SKIP] t16 — 已完成 +[2026-07-09 13:31:31] [SKIP] t17 — 已完成 +[2026-07-09 13:31:31] [SKIP] t18 — 已完成 +[2026-07-09 13:31:31] [SKIP] t19 — 已完成 +[2026-07-09 13:31:32] [SKIP] t20 — 已完成 +[2026-07-09 13:31:32] [SKIP] t21 — 已完成 +[2026-07-09 13:31:32] [SKIP] t22 — 已完成 +[2026-07-09 13:31:32] [SKIP] t23 — 已完成 +[2026-07-09 13:31:32] [SKIP] t24 — 已完成 +[2026-07-09 13:31:32] [SKIP] t25 — 已完成 +[2026-07-09 13:31:32] [SKIP] t26 — 已完成 +[2026-07-09 13:31:32] [SKIP] t27 — 已完成 +[2026-07-09 13:31:32] [SKIP] t28 — 已完成 +[2026-07-09 13:31:32] [SKIP] t29 — 已完成 +[2026-07-09 13:31:32] [SKIP] t30 — 已完成 +[2026-07-09 13:31:32] [SKIP] t31 — 已完成 +[2026-07-09 13:31:32] [SKIP] t32 — 已完成 +[2026-07-09 13:31:32] [START] t33 +[2026-07-09 17:11:05] ========================================= +[2026-07-09 17:11:05] droplet_impact 循环运行 (t01-t49) +[2026-07-09 17:11:05] MPI: 16 +[2026-07-09 17:11:05] ========================================= +[2026-07-09 17:11:05] [SKIP] t01 — 已完成 +[2026-07-09 17:11:05] [SKIP] t02 — 已完成 +[2026-07-09 17:11:05] [SKIP] t03 — 已完成 +[2026-07-09 17:11:05] [SKIP] t04 — 已完成 +[2026-07-09 17:11:06] [SKIP] t05 — 已完成 +[2026-07-09 17:11:06] [SKIP] t06 — 已完成 +[2026-07-09 17:11:06] [SKIP] t07 — 已完成 +[2026-07-09 17:11:06] [SKIP] t08 — 已完成 +[2026-07-09 17:11:06] [SKIP] t09 — 已完成 +[2026-07-09 17:11:06] [SKIP] t10 — 已完成 +[2026-07-09 17:11:06] [SKIP] t11 — 已完成 +[2026-07-09 17:11:06] [SKIP] t12 — 已完成 +[2026-07-09 17:11:06] [SKIP] t13 — 已完成 +[2026-07-09 17:11:07] [SKIP] t14 — 已完成 +[2026-07-09 17:11:07] [SKIP] t15 — 已完成 +[2026-07-09 17:11:07] [SKIP] t16 — 已完成 +[2026-07-09 17:11:07] [SKIP] t17 — 已完成 +[2026-07-09 17:11:07] [SKIP] t18 — 已完成 +[2026-07-09 17:11:07] [SKIP] t19 — 已完成 +[2026-07-09 17:11:07] [SKIP] t20 — 已完成 +[2026-07-09 17:11:07] [SKIP] t21 — 已完成 +[2026-07-09 17:11:07] [SKIP] t22 — 已完成 +[2026-07-09 17:11:07] [SKIP] t23 — 已完成 +[2026-07-09 17:11:07] [SKIP] t24 — 已完成 +[2026-07-09 17:11:07] [SKIP] t25 — 已完成 +[2026-07-09 17:11:08] [SKIP] t26 — 已完成 +[2026-07-09 17:11:08] [SKIP] t27 — 已完成 +[2026-07-09 17:11:08] [SKIP] t28 — 已完成 +[2026-07-09 17:11:08] [SKIP] t29 — 已完成 +[2026-07-09 17:11:08] [SKIP] t30 — 已完成 +[2026-07-09 17:11:08] [SKIP] t31 — 已完成 +[2026-07-09 17:11:08] [SKIP] t32 — 已完成 +[2026-07-09 17:11:08] [START] t33 +[2026-07-09 20:29:14] [DONE] t33 (198m6s) +[2026-07-09 20:29:14] [SKIP] t34 — 已完成 +[2026-07-09 20:29:14] [SKIP] t35 — 已完成 +[2026-07-09 20:29:14] [SKIP] t36 — 已完成 +[2026-07-09 20:29:14] [SKIP] t37 — 已完成 +[2026-07-09 20:29:14] [SKIP] t38 — 已完成 +[2026-07-09 20:29:14] [SKIP] t39 — 已完成 +[2026-07-09 20:29:15] [SKIP] t40 — 已完成 +[2026-07-09 20:29:15] [SKIP] t41 — 已完成 +[2026-07-09 20:29:15] [SKIP] t42 — 已完成 +[2026-07-09 20:29:15] [SKIP] t43 — 已完成 +[2026-07-09 20:29:15] [SKIP] t44 — 已完成 +[2026-07-09 20:29:15] [START] t45 +[2026-07-10 09:25:29] [FAIL] t45 — interFoam 未完成 (776m14s) +[2026-07-10 09:25:29] [START] t46 +[2026-07-10 10:43:30] [DONE] t46 (78m1s) +[2026-07-10 10:43:30] [START] t47 +[2026-07-10 11:01:18] [DONE] t47 (17m48s) +[2026-07-10 11:01:18] [START] t48 +[2026-07-10 13:58:31] [DONE] t48 (177m13s) +[2026-07-10 13:58:31] [START] t49 diff --git a/scripts/loop_stokes.log b/scripts/loop_stokes.log new file mode 100644 index 0000000000000000000000000000000000000000..d861537c2c2d2a1614d98f8e040a19c40f50e248 --- /dev/null +++ b/scripts/loop_stokes.log @@ -0,0 +1,184 @@ +[2026-06-30 19:15:18] ========================================= +[2026-06-30 19:15:18] stokes_wave 循环运行 (t01-t49) +[2026-06-30 19:15:18] MPI: 16 +[2026-06-30 19:15:18] ========================================= +[2026-06-30 19:15:18] [SKIP] t01 — 已完成 +[2026-06-30 19:15:18] [SKIP] t02 — 已完成 +[2026-06-30 19:15:18] [SKIP] t03 — 已完成 +[2026-06-30 19:15:18] [SKIP] t04 — 已完成 +[2026-06-30 19:15:18] [SKIP] t05 — 已完成 +[2026-06-30 19:15:18] [SKIP] t06 — 已完成 +[2026-06-30 19:15:18] [SKIP] t07 — 已完成 +[2026-06-30 19:15:18] [START] t08 +[2026-06-30 20:52:13] [DONE] t08 (96m55s) +[2026-06-30 20:52:13] [START] t09 +[2026-06-30 20:53:42] ========================================= +[2026-06-30 20:53:42] stokes_wave 循环运行 (t01-t49) +[2026-06-30 20:53:42] MPI: 16 +[2026-06-30 20:53:42] ========================================= +[2026-06-30 20:53:43] [SKIP] t01 — 已完成 +[2026-06-30 20:53:43] [SKIP] t02 — 已完成 +[2026-06-30 20:53:43] [SKIP] t03 — 已完成 +[2026-06-30 20:53:43] [SKIP] t04 — 已完成 +[2026-06-30 20:53:43] [SKIP] t05 — 已完成 +[2026-06-30 20:53:43] [SKIP] t06 — 已完成 +[2026-06-30 20:53:43] [SKIP] t07 — 已完成 +[2026-06-30 20:53:43] [SKIP] t08 — 已完成 +[2026-06-30 20:53:43] [START] t09 +[2026-06-30 21:59:31] [DONE] t09 (65m48s) +[2026-06-30 21:59:31] [START] t10 +[2026-06-30 23:00:45] [DONE] t10 (61m14s) +[2026-06-30 23:00:45] [START] t11 +[2026-07-01 00:00:10] [DONE] t11 (59m25s) +[2026-07-01 00:00:10] [START] t12 +[2026-07-01 01:04:42] [DONE] t12 (64m32s) +[2026-07-01 01:04:42] [START] t13 +[2026-07-01 01:54:55] [DONE] t13 (50m13s) +[2026-07-01 01:54:55] [START] t14 +[2026-07-01 02:56:02] [DONE] t14 (61m6s) +[2026-07-01 02:56:02] [START] t15 +[2026-07-01 03:46:20] [DONE] t15 (50m18s) +[2026-07-01 03:46:20] [START] t16 +[2026-07-01 04:46:46] [DONE] t16 (60m25s) +[2026-07-01 04:46:46] [START] t17 +[2026-07-01 05:38:46] [DONE] t17 (52m0s) +[2026-07-01 05:38:46] [START] t18 +[2026-07-01 06:37:37] [DONE] t18 (58m51s) +[2026-07-01 06:37:37] [START] t19 +[2026-07-01 07:29:43] [DONE] t19 (52m5s) +[2026-07-01 07:29:43] [START] t20 +[2026-07-01 08:22:12] [DONE] t20 (52m29s) +[2026-07-01 08:22:12] [START] t21 +[2026-07-01 09:26:28] [DONE] t21 (64m16s) +[2026-07-01 09:26:28] [START] t22 +[2026-07-01 10:17:03] [DONE] t22 (50m35s) +[2026-07-01 10:17:03] [START] t23 +[2026-07-01 11:10:00] [DONE] t23 (52m57s) +[2026-07-01 11:10:00] [START] t24 +[2026-07-01 12:23:01] [DONE] t24 (73m1s) +[2026-07-01 12:23:01] [START] t25 +[2026-07-01 13:38:44] [DONE] t25 (75m43s) +[2026-07-01 13:38:44] [START] t26 +[2026-07-01 14:30:54] [DONE] t26 (52m10s) +[2026-07-01 14:30:54] [START] t27 +[2026-07-01 14:31:23] [FAIL] t27 — interFoam 未完成 (0m29s) +[2026-07-01 14:31:23] [START] t28 +[2026-07-01 14:31:42] [FAIL] t28 — interFoam 未完成 (0m19s) +[2026-07-01 14:31:42] [START] t29 +[2026-07-01 15:42:18] [DONE] t29 (70m35s) +[2026-07-01 15:42:18] [START] t30 +[2026-07-01 16:40:51] [DONE] t30 (58m33s) +[2026-07-01 16:40:51] [START] t31 +[2026-07-01 17:31:43] [DONE] t31 (50m52s) +[2026-07-01 17:31:43] [START] t32 +[2026-07-01 18:22:35] [DONE] t32 (50m52s) +[2026-07-01 18:22:35] [START] t33 +[2026-07-01 19:30:02] [DONE] t33 (67m27s) +[2026-07-01 19:30:02] [START] t34 +[2026-07-01 20:28:42] [DONE] t34 (58m40s) +[2026-07-01 20:28:42] [START] t35 +[2026-07-01 20:51:26] [FAIL] t35 — interFoam 未完成 (22m44s) +[2026-07-01 20:51:26] [START] t36 +[2026-07-01 20:51:26] [FAIL] t36 — blockMesh 失败 +[2026-07-01 20:51:26] [START] t37 +[2026-07-01 20:51:26] [FAIL] t37 — blockMesh 失败 +[2026-07-01 20:51:26] [START] t38 +[2026-07-01 20:51:26] [FAIL] t38 — blockMesh 失败 +[2026-07-01 20:51:26] [START] t39 +[2026-07-01 20:51:26] [FAIL] t39 — blockMesh 失败 +[2026-07-01 20:51:26] [START] t40 +[2026-07-01 20:51:26] [FAIL] t40 — blockMesh 失败 +[2026-07-01 20:51:26] [START] t41 +[2026-07-01 20:51:26] [FAIL] t41 — blockMesh 失败 +[2026-07-01 20:51:26] [START] t42 +[2026-07-01 20:51:26] [FAIL] t42 — blockMesh 失败 +[2026-07-01 20:51:26] [START] t43 +[2026-07-01 20:51:26] [FAIL] t43 — blockMesh 失败 +[2026-07-01 20:51:27] [START] t44 +[2026-07-01 20:51:27] [FAIL] t44 — blockMesh 失败 +[2026-07-01 20:51:27] [START] t45 +[2026-07-01 20:51:27] [FAIL] t45 — blockMesh 失败 +[2026-07-01 20:51:27] [START] t46 +[2026-07-01 20:51:27] [FAIL] t46 — blockMesh 失败 +[2026-07-01 20:51:27] [START] t47 +[2026-07-01 20:51:27] [FAIL] t47 — blockMesh 失败 +[2026-07-01 20:51:27] [START] t48 +[2026-07-01 20:51:27] [FAIL] t48 — blockMesh 失败 +[2026-07-01 20:51:27] [START] t49 +[2026-07-01 20:51:27] [FAIL] t49 — blockMesh 失败 +[2026-07-01 20:51:27] ========================================= +[2026-07-01 20:51:27] stokes_wave 全部完成 +[2026-07-01 20:51:27] ========================================= +[2026-07-10 16:23:17] ========================================= +[2026-07-10 16:23:17] stokes_wave 循环运行 (t01-t49) +[2026-07-10 16:23:17] MPI: 16 +[2026-07-10 16:23:18] ========================================= +[2026-07-10 16:23:18] [SKIP] t01 — 已完成 +[2026-07-10 16:23:18] [SKIP] t02 — 已完成 +[2026-07-10 16:23:18] [SKIP] t03 — 已完成 +[2026-07-10 16:23:18] [SKIP] t04 — 已完成 +[2026-07-10 16:23:18] [SKIP] t05 — 已完成 +[2026-07-10 16:23:18] [SKIP] t06 — 已完成 +[2026-07-10 16:23:18] [SKIP] t07 — 已完成 +[2026-07-10 16:23:18] [SKIP] t08 — 已完成 +[2026-07-10 16:23:18] [SKIP] t09 — 已完成 +[2026-07-10 16:23:18] [SKIP] t10 — 已完成 +[2026-07-10 16:23:18] [SKIP] t11 — 已完成 +[2026-07-10 16:23:18] [SKIP] t12 — 已完成 +[2026-07-10 16:23:18] [SKIP] t13 — 已完成 +[2026-07-10 16:23:18] [SKIP] t14 — 已完成 +[2026-07-10 16:23:18] [SKIP] t15 — 已完成 +[2026-07-10 16:23:18] [SKIP] t16 — 已完成 +[2026-07-10 16:23:18] [SKIP] t17 — 已完成 +[2026-07-10 16:23:18] [SKIP] t18 — 已完成 +[2026-07-10 16:23:18] [SKIP] t19 — 已完成 +[2026-07-10 16:23:18] [SKIP] t20 — 已完成 +[2026-07-10 16:23:18] [SKIP] t21 — 已完成 +[2026-07-10 16:23:18] [SKIP] t22 — 已完成 +[2026-07-10 16:23:18] [SKIP] t23 — 已完成 +[2026-07-10 16:23:18] [SKIP] t24 — 已完成 +[2026-07-10 16:23:18] [SKIP] t25 — 已完成 +[2026-07-10 16:23:18] [SKIP] t26 — 已完成 +[2026-07-10 16:23:18] [START] t27 +[2026-07-10 16:23:44] [FAIL] t27 — interFoam 未完成 (0m26s) +[2026-07-10 16:23:44] [START] t28 +[2026-07-10 16:23:58] [FAIL] t28 — interFoam 未完成 (0m14s) +[2026-07-10 16:23:58] [SKIP] t29 — 已完成 +[2026-07-10 16:23:58] [SKIP] t30 — 已完成 +[2026-07-10 16:23:58] [SKIP] t31 — 已完成 +[2026-07-10 16:23:58] [SKIP] t32 — 已完成 +[2026-07-10 16:23:58] [SKIP] t33 — 已完成 +[2026-07-10 16:23:58] [SKIP] t34 — 已完成 +[2026-07-10 16:23:58] [START] t35 +[2026-07-10 17:31:43] [DONE] t35 (67m45s) +[2026-07-10 17:31:43] [START] t36 +[2026-07-10 18:34:58] [DONE] t36 (63m14s) +[2026-07-10 18:34:58] [START] t37 +[2026-07-10 18:35:26] [FAIL] t37 — interFoam 未完成 (0m28s) +[2026-07-10 18:35:26] [START] t38 +[2026-07-10 19:45:22] [DONE] t38 (69m56s) +[2026-07-10 19:45:22] [START] t39 +[2026-07-10 20:57:05] [DONE] t39 (71m43s) +[2026-07-10 20:57:05] [START] t40 +[2026-07-10 21:47:24] [DONE] t40 (50m19s) +[2026-07-10 21:47:24] [START] t41 +[2026-07-10 22:39:45] [DONE] t41 (52m21s) +[2026-07-10 22:39:45] [START] t42 +[2026-07-10 23:31:20] [DONE] t42 (51m35s) +[2026-07-10 23:31:20] [START] t43 +[2026-07-11 00:22:02] [DONE] t43 (50m42s) +[2026-07-11 00:22:02] [START] t44 +[2026-07-11 01:11:14] [DONE] t44 (49m12s) +[2026-07-11 01:11:14] [START] t45 +[2026-07-11 01:59:32] [DONE] t45 (48m18s) +[2026-07-11 01:59:32] [START] t46 +[2026-07-11 01:59:47] [FAIL] t46 — interFoam 未完成 (0m15s) +[2026-07-11 01:59:47] [START] t47 +[2026-07-11 01:59:57] [FAIL] t47 — interFoam 未完成 (0m10s) +[2026-07-11 01:59:57] [START] t48 +[2026-07-11 02:49:23] [DONE] t48 (49m26s) +[2026-07-11 02:49:23] [START] t49 +[2026-07-11 03:39:48] [DONE] t49 (50m25s) +[2026-07-11 03:39:48] ========================================= +[2026-07-11 03:39:48] stokes_wave 全部完成 +[2026-07-11 03:39:48] ========================================= diff --git a/scripts/master_test_run.sh b/scripts/master_test_run.sh new file mode 100644 index 0000000000000000000000000000000000000000..9a01fdc6e07843d3bd281cc98e0fb7a13726ff1e --- /dev/null +++ b/scripts/master_test_run.sh @@ -0,0 +1,160 @@ +#!/bin/bash +# master_test_run.sh — 测试三个 case 的 t00 全流程 +# 步骤: 生成初始条件 → blockMesh → interFoam → 验证 → 后处理 HDF5 + +set -euo pipefail + +WORKSPACE="/home/alanz/openfoam-workspace" +SCRIPTS="$WORKSPACE/scripts" +TEST_DIR="/tmp/test_run" +CASES=("dam_break" "rising_bubble" "droplet_impact") + +# ─── OpenFOAM 环境 ─────────────────────────────────────────────────── +export WM_PROJECT=OpenFOAM +export WM_PROJECT_VERSION=v1906 +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_ETC=/usr/share/openfoam/etc +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib +export PATH=$FOAM_APPBIN:$PATH +export LD_LIBRARY_PATH=$FOAM_LIBBIN:$LD_LIBRARY_PATH + +echo "============================================================" +echo "master_test_run.sh — 三 case t00 全流程测试" +echo "时间: $(date)" +echo "============================================================" + +# ─── Step 1: 生成初始条件 ──────────────────────────────────────────── +echo "" +echo "=== Step 1: 生成初始条件 (num-trajs=1) ===" +rm -rf "$TEST_DIR" +python3 "$SCRIPTS/gen_init_conditions.py" \ + --templates "$WORKSPACE/cases" \ + --output "$TEST_DIR" \ + --num-trajs 1 \ + -v 2>&1 + +# ─── Step 2: 验证 alpha ───────────────────────────────────────────── +echo "" +echo "=== Step 2: 验证三个 case 的 alpha.water ===" +for case in "${CASES[@]}"; do + alpha_file="$TEST_DIR/$case/t00/0/alpha.water" + if [ ! -f "$alpha_file" ]; then + echo "ERROR: $alpha_file 不存在" + exit 1 + fi + + python3 -c " +with open('$alpha_file') as f: + lines = f.readlines() +vals = [] +in_data = False +for line in lines: + s = line.strip() + if s == '(': + in_data = True + continue + if s == ')' or s == ');': + break + if in_data: + try: + vals.append(float(s)) + except: + pass +nonzero = sum(1 for v in vals if v > 0) +print(f' $case: {len(vals)} cells, {nonzero} nonzero, sum={sum(vals):.0f}') +if nonzero == 0 and '$case' == 'droplet_impact': + print(' ERROR: droplet_impact alpha 全为 0!') + exit(1) +" 2>&1 +done + +# ─── Step 3: 运行 OpenFOAM ────────────────────────────────────────── +echo "" +echo "=== Step 3: 运行 OpenFOAM interFoam ===" +for case in "${CASES[@]}"; do + case_dir="$TEST_DIR/$case/t00" + echo "" + echo "--- $case/t00 ---" + cd "$case_dir" + + # 清理旧数据 + rm -f log.* + rm -rf processor* + for ts_dir in [0-9]*; do + ts_name=$(basename "$ts_dir") + if [ "$ts_name" != "0" ]; then + rm -rf "$ts_dir" + fi + done + + # blockMesh + echo " blockMesh..." + blockMesh > log.blockMesh 2>&1 + if [ $? -ne 0 ]; then + echo " ERROR: blockMesh failed" + tail -20 log.blockMesh + exit 1 + fi + echo " blockMesh OK" + + # interFoam + echo " interFoam (开始运行)..." + START_T=$(date +%s) + interFoam > log.interFoam 2>&1 + END_T=$(date +%s) + ELAPSED=$((END_T - START_T)) + + if [ $? -ne 0 ]; then + echo " ERROR: interFoam failed (${ELAPSED}s)" + tail -20 log.interFoam + exit 1 + fi + + # 验证完成标记 + if grep -q "^End" log.interFoam; then + echo " interFoam OK (${ELAPSED}s) — End 标记确认" + else + echo " WARNING: 未找到 End 标记 (${ELAPSED}s)" + tail -5 log.interFoam + fi + + # 统计时间步目录 + N_DIRS=$(ls -d [0-9]* 2>/dev/null | grep -v "^0$" | wc -l) + echo " 输出时间步: $N_DIRS" +done + +# ─── Step 4: 后处理 HDF5 ──────────────────────────────────────────── +echo "" +echo "=== Step 4: 后处理 HDF5 ===" +python3 "$SCRIPTS/postprocess_to_hdf5.py" \ + --input "$TEST_DIR" \ + -v 2>&1 + +# ─── Step 5: 验证 HDF5 ───────────────────────────────────────────── +echo "" +echo "=== Step 5: 验证 HDF5 输出 ===" +for case in "${CASES[@]}"; do + h5_file="$TEST_DIR/$case/traj_0000.h5" + if [ -f "$h5_file" ]; then + python3 -c " +import h5py +with h5py.File('$h5_file', 'r') as f: + alpha = f['alpha'] + times = f.attrs.get('times', []) + print(f' $case: shape={alpha.shape}, times={len(times)} frames') + print(f' alpha range: [{alpha[:].min():.4f}, {alpha[:].max():.4f}]') + if len(times) > 1: + print(f' t range: [{times[0]:.4f}, {times[-1]:.4f}] s') +" 2>&1 + else + echo " ERROR: $h5_file 不存在" + fi +done + +echo "" +echo "============================================================" +echo "master_test_run.sh 完成" +echo "时间: $(date)" +echo "测试数据: $TEST_DIR" +echo "============================================================" diff --git a/scripts/postprocess_all.log b/scripts/postprocess_all.log new file mode 100644 index 0000000000000000000000000000000000000000..aa03375e40ff441ee5d7e8bb546eddff8dacfe08 --- /dev/null +++ b/scripts/postprocess_all.log @@ -0,0 +1,1204 @@ +[Mon Jul 13 02:10:42 CST 2026] Starting HDF5 postprocessing (python=/home/alanz/miniconda3/envs/paper1/bin/python3)... +2026-07-13 02:10:57 [INFO] 发现 200 个 trajectory: dam_break=50, rising_bubble=50, droplet_impact=50, stokes_wave=50 +2026-07-13 02:10:57 [INFO] 处理: dam_break/t00 → traj_0000.h5 +2026-07-13 02:10:58 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:10:59 [INFO] 时间步数: 26 +2026-07-13 02:11:10 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0000.h5 +2026-07-13 02:11:10 [INFO] u 范围: [-7.625671, 6.899964] +2026-07-13 02:11:10 [INFO] alpha 范围: [-0.000000, 1.000000] +2026-07-13 02:11:10 [INFO] 处理: dam_break/t01 → traj_0001.h5 +2026-07-13 02:11:10 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:10 [INFO] 时间步数: 26 +2026-07-13 02:11:19 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0001.h5 +2026-07-13 02:11:19 [INFO] u 范围: [-123.315750, 145.267258] +2026-07-13 02:11:19 [INFO] alpha 范围: [-0.000000, 1.000000] +2026-07-13 02:11:19 [INFO] 处理: dam_break/t02 → traj_0002.h5 +2026-07-13 02:11:19 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:20 [INFO] 时间步数: 26 +2026-07-13 02:11:30 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0002.h5 +2026-07-13 02:11:30 [INFO] u 范围: [-16.062618, 26.027020] +2026-07-13 02:11:30 [INFO] alpha 范围: [-0.000000, 1.000000] +2026-07-13 02:11:30 [INFO] 处理: dam_break/t03 → traj_0003.h5 +2026-07-13 02:11:30 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:31 [INFO] 时间步数: 26 +2026-07-13 02:11:39 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0003.h5 +2026-07-13 02:11:39 [INFO] u 范围: [-164.135620, 132.938416] +2026-07-13 02:11:39 [INFO] alpha 范围: [-0.000000, 1.000000] +2026-07-13 02:11:39 [INFO] 处理: dam_break/t04 → traj_0004.h5 +2026-07-13 02:11:39 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:40 [INFO] 时间步数: 26 +2026-07-13 02:11:49 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0004.h5 +2026-07-13 02:11:49 [INFO] u 范围: [-8.872569, 8.530332] +2026-07-13 02:11:49 [INFO] alpha 范围: [-0.000000, 1.000000] +2026-07-13 02:11:49 [INFO] 处理: dam_break/t05 → traj_0005.h5 +2026-07-13 02:11:49 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:49 [INFO] 时间步数: 1 +2026-07-13 02:11:50 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0005.h5 +2026-07-13 02:11:50 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:50 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:50 [INFO] 处理: dam_break/t06 → traj_0006.h5 +2026-07-13 02:11:50 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:50 [INFO] 时间步数: 1 +2026-07-13 02:11:51 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0006.h5 +2026-07-13 02:11:51 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:51 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:51 [INFO] 处理: dam_break/t07 → traj_0007.h5 +2026-07-13 02:11:51 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:51 [INFO] 时间步数: 1 +2026-07-13 02:11:51 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0007.h5 +2026-07-13 02:11:51 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:51 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:51 [INFO] 处理: dam_break/t08 → traj_0008.h5 +2026-07-13 02:11:51 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:51 [INFO] 时间步数: 1 +2026-07-13 02:11:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0008.h5 +2026-07-13 02:11:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:52 [INFO] 处理: dam_break/t09 → traj_0009.h5 +2026-07-13 02:11:52 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:52 [INFO] 时间步数: 1 +2026-07-13 02:11:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0009.h5 +2026-07-13 02:11:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:52 [INFO] 处理: dam_break/t10 → traj_0010.h5 +2026-07-13 02:11:52 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:52 [INFO] 时间步数: 1 +2026-07-13 02:11:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0010.h5 +2026-07-13 02:11:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:52 [INFO] 处理: dam_break/t11 → traj_0011.h5 +2026-07-13 02:11:52 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:52 [INFO] 时间步数: 1 +2026-07-13 02:11:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0011.h5 +2026-07-13 02:11:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:52 [INFO] 处理: dam_break/t12 → traj_0012.h5 +2026-07-13 02:11:52 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:52 [INFO] 时间步数: 1 +2026-07-13 02:11:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0012.h5 +2026-07-13 02:11:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:52 [INFO] 处理: dam_break/t13 → traj_0013.h5 +2026-07-13 02:11:52 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:52 [INFO] 时间步数: 1 +2026-07-13 02:11:53 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0013.h5 +2026-07-13 02:11:53 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:53 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:53 [INFO] 处理: dam_break/t14 → traj_0014.h5 +2026-07-13 02:11:53 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:53 [INFO] 时间步数: 1 +2026-07-13 02:11:53 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0014.h5 +2026-07-13 02:11:53 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:53 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:53 [INFO] 处理: dam_break/t15 → traj_0015.h5 +2026-07-13 02:11:53 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:53 [INFO] 时间步数: 1 +2026-07-13 02:11:53 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0015.h5 +2026-07-13 02:11:53 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:53 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:53 [INFO] 处理: dam_break/t16 → traj_0016.h5 +2026-07-13 02:11:53 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:53 [INFO] 时间步数: 1 +2026-07-13 02:11:53 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0016.h5 +2026-07-13 02:11:53 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:53 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:53 [INFO] 处理: dam_break/t17 → traj_0017.h5 +2026-07-13 02:11:53 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:53 [INFO] 时间步数: 1 +2026-07-13 02:11:54 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0017.h5 +2026-07-13 02:11:54 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:54 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:54 [INFO] 处理: dam_break/t18 → traj_0018.h5 +2026-07-13 02:11:54 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:54 [INFO] 时间步数: 1 +2026-07-13 02:11:54 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0018.h5 +2026-07-13 02:11:54 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:54 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:54 [INFO] 处理: dam_break/t19 → traj_0019.h5 +2026-07-13 02:11:54 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:54 [INFO] 时间步数: 1 +2026-07-13 02:11:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0019.h5 +2026-07-13 02:11:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:55 [INFO] 处理: dam_break/t20 → traj_0020.h5 +2026-07-13 02:11:55 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:55 [INFO] 时间步数: 1 +2026-07-13 02:11:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0020.h5 +2026-07-13 02:11:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:55 [INFO] 处理: dam_break/t21 → traj_0021.h5 +2026-07-13 02:11:55 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:55 [INFO] 时间步数: 1 +2026-07-13 02:11:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0021.h5 +2026-07-13 02:11:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:55 [INFO] 处理: dam_break/t22 → traj_0022.h5 +2026-07-13 02:11:55 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:55 [INFO] 时间步数: 1 +2026-07-13 02:11:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0022.h5 +2026-07-13 02:11:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:56 [INFO] 处理: dam_break/t23 → traj_0023.h5 +2026-07-13 02:11:56 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:56 [INFO] 时间步数: 1 +2026-07-13 02:11:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0023.h5 +2026-07-13 02:11:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:56 [INFO] 处理: dam_break/t24 → traj_0024.h5 +2026-07-13 02:11:56 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:56 [INFO] 时间步数: 1 +2026-07-13 02:11:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0024.h5 +2026-07-13 02:11:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:56 [INFO] 处理: dam_break/t25 → traj_0025.h5 +2026-07-13 02:11:56 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:56 [INFO] 时间步数: 1 +2026-07-13 02:11:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0025.h5 +2026-07-13 02:11:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:56 [INFO] 处理: dam_break/t26 → traj_0026.h5 +2026-07-13 02:11:57 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:57 [INFO] 时间步数: 1 +2026-07-13 02:11:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0026.h5 +2026-07-13 02:11:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:57 [INFO] 处理: dam_break/t27 → traj_0027.h5 +2026-07-13 02:11:57 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:57 [INFO] 时间步数: 1 +2026-07-13 02:11:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0027.h5 +2026-07-13 02:11:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:57 [INFO] 处理: dam_break/t28 → traj_0028.h5 +2026-07-13 02:11:57 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:57 [INFO] 时间步数: 1 +2026-07-13 02:11:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0028.h5 +2026-07-13 02:11:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:57 [INFO] 处理: dam_break/t29 → traj_0029.h5 +2026-07-13 02:11:57 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:57 [INFO] 时间步数: 1 +2026-07-13 02:11:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0029.h5 +2026-07-13 02:11:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:58 [INFO] 处理: dam_break/t30 → traj_0030.h5 +2026-07-13 02:11:58 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:58 [INFO] 时间步数: 1 +2026-07-13 02:11:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0030.h5 +2026-07-13 02:11:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:58 [INFO] 处理: dam_break/t31 → traj_0031.h5 +2026-07-13 02:11:58 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:58 [INFO] 时间步数: 1 +2026-07-13 02:11:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0031.h5 +2026-07-13 02:11:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:58 [INFO] 处理: dam_break/t32 → traj_0032.h5 +2026-07-13 02:11:58 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:58 [INFO] 时间步数: 1 +2026-07-13 02:11:59 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0032.h5 +2026-07-13 02:11:59 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:11:59 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:11:59 [INFO] 处理: dam_break/t33 → traj_0033.h5 +2026-07-13 02:11:59 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:11:59 [INFO] 时间步数: 1 +2026-07-13 02:12:00 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0033.h5 +2026-07-13 02:12:00 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:00 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:00 [INFO] 处理: dam_break/t34 → traj_0034.h5 +2026-07-13 02:12:00 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:00 [INFO] 时间步数: 1 +2026-07-13 02:12:00 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0034.h5 +2026-07-13 02:12:00 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:00 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:00 [INFO] 处理: dam_break/t35 → traj_0035.h5 +2026-07-13 02:12:00 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:00 [INFO] 时间步数: 1 +2026-07-13 02:12:00 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0035.h5 +2026-07-13 02:12:00 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:00 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:00 [INFO] 处理: dam_break/t36 → traj_0036.h5 +2026-07-13 02:12:00 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:00 [INFO] 时间步数: 1 +2026-07-13 02:12:00 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0036.h5 +2026-07-13 02:12:00 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:00 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:00 [INFO] 处理: dam_break/t37 → traj_0037.h5 +2026-07-13 02:12:00 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:00 [INFO] 时间步数: 1 +2026-07-13 02:12:01 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0037.h5 +2026-07-13 02:12:01 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:01 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:01 [INFO] 处理: dam_break/t38 → traj_0038.h5 +2026-07-13 02:12:01 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:01 [INFO] 时间步数: 1 +2026-07-13 02:12:01 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0038.h5 +2026-07-13 02:12:01 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:01 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:01 [INFO] 处理: dam_break/t39 → traj_0039.h5 +2026-07-13 02:12:01 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:01 [INFO] 时间步数: 1 +2026-07-13 02:12:01 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0039.h5 +2026-07-13 02:12:01 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:01 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:01 [INFO] 处理: dam_break/t40 → traj_0040.h5 +2026-07-13 02:12:02 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:02 [INFO] 时间步数: 1 +2026-07-13 02:12:02 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0040.h5 +2026-07-13 02:12:02 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:02 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:02 [INFO] 处理: dam_break/t41 → traj_0041.h5 +2026-07-13 02:12:02 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:02 [INFO] 时间步数: 1 +2026-07-13 02:12:02 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0041.h5 +2026-07-13 02:12:02 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:02 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:02 [INFO] 处理: dam_break/t42 → traj_0042.h5 +2026-07-13 02:12:02 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:02 [INFO] 时间步数: 1 +2026-07-13 02:12:03 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0042.h5 +2026-07-13 02:12:03 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:03 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:03 [INFO] 处理: dam_break/t43 → traj_0043.h5 +2026-07-13 02:12:03 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:03 [INFO] 时间步数: 1 +2026-07-13 02:12:03 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0043.h5 +2026-07-13 02:12:03 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:03 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:03 [INFO] 处理: dam_break/t44 → traj_0044.h5 +2026-07-13 02:12:03 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:03 [INFO] 时间步数: 1 +2026-07-13 02:12:03 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0044.h5 +2026-07-13 02:12:03 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:03 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:03 [INFO] 处理: dam_break/t45 → traj_0045.h5 +2026-07-13 02:12:03 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:03 [INFO] 时间步数: 1 +2026-07-13 02:12:03 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0045.h5 +2026-07-13 02:12:03 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:03 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:03 [INFO] 处理: dam_break/t46 → traj_0046.h5 +2026-07-13 02:12:04 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:04 [INFO] 时间步数: 1 +2026-07-13 02:12:04 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0046.h5 +2026-07-13 02:12:04 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:04 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:04 [INFO] 处理: dam_break/t47 → traj_0047.h5 +2026-07-13 02:12:04 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:04 [INFO] 时间步数: 1 +2026-07-13 02:12:04 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0047.h5 +2026-07-13 02:12:04 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:04 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:04 [INFO] 处理: dam_break/t48 → traj_0048.h5 +2026-07-13 02:12:04 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:04 [INFO] 时间步数: 1 +2026-07-13 02:12:05 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0048.h5 +2026-07-13 02:12:05 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:05 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:05 [INFO] 处理: dam_break/t49 → traj_0049.h5 +2026-07-13 02:12:05 [INFO] 网格: 128x128, 域尺寸: 0.5840x0.5840 m +2026-07-13 02:12:05 [INFO] 时间步数: 1 +2026-07-13 02:12:05 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/dam_break/traj_0049.h5 +2026-07-13 02:12:05 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:12:05 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:05 [INFO] 处理: rising_bubble/t00 → traj_0000.h5 +2026-07-13 02:12:05 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:12:09 [INFO] 时间步数: 26 +2026-07-13 02:12:21 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0000.h5 +2026-07-13 02:12:21 [INFO] u 范围: [-0.227965, 0.303458] +2026-07-13 02:12:21 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:12:21 [INFO] 处理: rising_bubble/t01 → traj_0001.h5 +2026-07-13 02:12:21 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:12:22 [INFO] 时间步数: 26 +2026-07-13 02:12:37 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0001.h5 +2026-07-13 02:12:37 [INFO] u 范围: [-0.388561, 0.285981] +2026-07-13 02:12:37 [INFO] alpha 范围: [0.000000, 1.000001] +2026-07-13 02:12:37 [INFO] 处理: rising_bubble/t02 → traj_0002.h5 +2026-07-13 02:12:37 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:12:38 [INFO] 时间步数: 26 +2026-07-13 02:12:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0002.h5 +2026-07-13 02:12:56 [INFO] u 范围: [-0.226675, 0.312338] +2026-07-13 02:12:56 [INFO] alpha 范围: [0.000000, 1.000001] +2026-07-13 02:12:56 [INFO] 处理: rising_bubble/t03 → traj_0003.h5 +2026-07-13 02:12:56 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:12:57 [INFO] 时间步数: 26 +2026-07-13 02:13:11 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0003.h5 +2026-07-13 02:13:11 [INFO] u 范围: [-0.276839, 0.374527] +2026-07-13 02:13:11 [INFO] alpha 范围: [0.000000, 1.000002] +2026-07-13 02:13:11 [INFO] 处理: rising_bubble/t04 → traj_0004.h5 +2026-07-13 02:13:11 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:13 [INFO] 时间步数: 26 +2026-07-13 02:13:26 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0004.h5 +2026-07-13 02:13:26 [INFO] u 范围: [-0.286316, 0.233441] +2026-07-13 02:13:26 [INFO] alpha 范围: [0.000000, 1.000003] +2026-07-13 02:13:26 [INFO] 处理: rising_bubble/t05 → traj_0005.h5 +2026-07-13 02:13:26 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:26 [INFO] 时间步数: 1 +2026-07-13 02:13:28 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0005.h5 +2026-07-13 02:13:28 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:28 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:28 [INFO] 处理: rising_bubble/t06 → traj_0006.h5 +2026-07-13 02:13:28 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:28 [INFO] 时间步数: 1 +2026-07-13 02:13:30 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0006.h5 +2026-07-13 02:13:30 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:30 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:30 [INFO] 处理: rising_bubble/t07 → traj_0007.h5 +2026-07-13 02:13:30 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:30 [INFO] 时间步数: 1 +2026-07-13 02:13:30 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0007.h5 +2026-07-13 02:13:30 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:30 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:30 [INFO] 处理: rising_bubble/t08 → traj_0008.h5 +2026-07-13 02:13:30 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:30 [INFO] 时间步数: 1 +2026-07-13 02:13:30 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0008.h5 +2026-07-13 02:13:30 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:30 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:30 [INFO] 处理: rising_bubble/t09 → traj_0009.h5 +2026-07-13 02:13:31 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:31 [INFO] 时间步数: 1 +2026-07-13 02:13:31 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0009.h5 +2026-07-13 02:13:31 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:31 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:31 [INFO] 处理: rising_bubble/t10 → traj_0010.h5 +2026-07-13 02:13:31 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:31 [INFO] 时间步数: 1 +2026-07-13 02:13:31 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0010.h5 +2026-07-13 02:13:31 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:31 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:31 [INFO] 处理: rising_bubble/t11 → traj_0011.h5 +2026-07-13 02:13:31 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:31 [INFO] 时间步数: 1 +2026-07-13 02:13:32 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0011.h5 +2026-07-13 02:13:32 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:32 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:32 [INFO] 处理: rising_bubble/t12 → traj_0012.h5 +2026-07-13 02:13:32 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:32 [INFO] 时间步数: 1 +2026-07-13 02:13:32 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0012.h5 +2026-07-13 02:13:32 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:32 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:32 [INFO] 处理: rising_bubble/t13 → traj_0013.h5 +2026-07-13 02:13:32 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:32 [INFO] 时间步数: 1 +2026-07-13 02:13:33 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0013.h5 +2026-07-13 02:13:33 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:33 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:33 [INFO] 处理: rising_bubble/t14 → traj_0014.h5 +2026-07-13 02:13:33 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:33 [INFO] 时间步数: 1 +2026-07-13 02:13:33 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0014.h5 +2026-07-13 02:13:33 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:33 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:33 [INFO] 处理: rising_bubble/t15 → traj_0015.h5 +2026-07-13 02:13:33 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:33 [INFO] 时间步数: 1 +2026-07-13 02:13:34 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0015.h5 +2026-07-13 02:13:34 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:34 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:34 [INFO] 处理: rising_bubble/t16 → traj_0016.h5 +2026-07-13 02:13:34 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:34 [INFO] 时间步数: 1 +2026-07-13 02:13:34 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0016.h5 +2026-07-13 02:13:34 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:34 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:34 [INFO] 处理: rising_bubble/t17 → traj_0017.h5 +2026-07-13 02:13:34 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:34 [INFO] 时间步数: 1 +2026-07-13 02:13:34 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0017.h5 +2026-07-13 02:13:34 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:34 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:34 [INFO] 处理: rising_bubble/t18 → traj_0018.h5 +2026-07-13 02:13:34 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:34 [INFO] 时间步数: 1 +2026-07-13 02:13:35 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0018.h5 +2026-07-13 02:13:35 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:35 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:35 [INFO] 处理: rising_bubble/t19 → traj_0019.h5 +2026-07-13 02:13:35 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:35 [INFO] 时间步数: 1 +2026-07-13 02:13:35 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0019.h5 +2026-07-13 02:13:35 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:35 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:35 [INFO] 处理: rising_bubble/t20 → traj_0020.h5 +2026-07-13 02:13:35 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:35 [INFO] 时间步数: 1 +2026-07-13 02:13:35 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0020.h5 +2026-07-13 02:13:35 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:35 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:35 [INFO] 处理: rising_bubble/t21 → traj_0021.h5 +2026-07-13 02:13:35 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:35 [INFO] 时间步数: 1 +2026-07-13 02:13:36 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0021.h5 +2026-07-13 02:13:36 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:36 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:36 [INFO] 处理: rising_bubble/t22 → traj_0022.h5 +2026-07-13 02:13:36 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:36 [INFO] 时间步数: 1 +2026-07-13 02:13:39 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0022.h5 +2026-07-13 02:13:39 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:39 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:39 [INFO] 处理: rising_bubble/t23 → traj_0023.h5 +2026-07-13 02:13:39 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:39 [INFO] 时间步数: 1 +2026-07-13 02:13:40 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0023.h5 +2026-07-13 02:13:40 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:40 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:40 [INFO] 处理: rising_bubble/t24 → traj_0024.h5 +2026-07-13 02:13:40 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:40 [INFO] 时间步数: 1 +2026-07-13 02:13:41 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0024.h5 +2026-07-13 02:13:41 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:41 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:41 [INFO] 处理: rising_bubble/t25 → traj_0025.h5 +2026-07-13 02:13:41 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:41 [INFO] 时间步数: 1 +2026-07-13 02:13:41 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0025.h5 +2026-07-13 02:13:41 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:41 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:41 [INFO] 处理: rising_bubble/t26 → traj_0026.h5 +2026-07-13 02:13:41 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:41 [INFO] 时间步数: 1 +2026-07-13 02:13:41 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0026.h5 +2026-07-13 02:13:41 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:41 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:41 [INFO] 处理: rising_bubble/t27 → traj_0027.h5 +2026-07-13 02:13:41 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:41 [INFO] 时间步数: 1 +2026-07-13 02:13:42 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0027.h5 +2026-07-13 02:13:42 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:42 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:42 [INFO] 处理: rising_bubble/t28 → traj_0028.h5 +2026-07-13 02:13:42 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:42 [INFO] 时间步数: 1 +2026-07-13 02:13:42 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0028.h5 +2026-07-13 02:13:42 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:42 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:42 [INFO] 处理: rising_bubble/t29 → traj_0029.h5 +2026-07-13 02:13:42 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:42 [INFO] 时间步数: 1 +2026-07-13 02:13:42 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0029.h5 +2026-07-13 02:13:42 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:42 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:42 [INFO] 处理: rising_bubble/t30 → traj_0030.h5 +2026-07-13 02:13:42 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:42 [INFO] 时间步数: 1 +2026-07-13 02:13:43 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0030.h5 +2026-07-13 02:13:43 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:43 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:43 [INFO] 处理: rising_bubble/t31 → traj_0031.h5 +2026-07-13 02:13:43 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:43 [INFO] 时间步数: 1 +2026-07-13 02:13:43 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0031.h5 +2026-07-13 02:13:43 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:43 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:43 [INFO] 处理: rising_bubble/t32 → traj_0032.h5 +2026-07-13 02:13:43 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:43 [INFO] 时间步数: 1 +2026-07-13 02:13:44 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0032.h5 +2026-07-13 02:13:44 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:44 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:44 [INFO] 处理: rising_bubble/t33 → traj_0033.h5 +2026-07-13 02:13:44 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:44 [INFO] 时间步数: 1 +2026-07-13 02:13:44 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0033.h5 +2026-07-13 02:13:44 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:44 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:44 [INFO] 处理: rising_bubble/t34 → traj_0034.h5 +2026-07-13 02:13:44 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:44 [INFO] 时间步数: 1 +2026-07-13 02:13:45 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0034.h5 +2026-07-13 02:13:45 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:45 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:45 [INFO] 处理: rising_bubble/t35 → traj_0035.h5 +2026-07-13 02:13:45 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:45 [INFO] 时间步数: 1 +2026-07-13 02:13:45 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0035.h5 +2026-07-13 02:13:45 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:45 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:45 [INFO] 处理: rising_bubble/t36 → traj_0036.h5 +2026-07-13 02:13:45 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:45 [INFO] 时间步数: 1 +2026-07-13 02:13:45 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0036.h5 +2026-07-13 02:13:45 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:45 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:45 [INFO] 处理: rising_bubble/t37 → traj_0037.h5 +2026-07-13 02:13:45 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:45 [INFO] 时间步数: 1 +2026-07-13 02:13:46 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0037.h5 +2026-07-13 02:13:46 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:46 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:46 [INFO] 处理: rising_bubble/t38 → traj_0038.h5 +2026-07-13 02:13:46 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:46 [INFO] 时间步数: 1 +2026-07-13 02:13:46 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0038.h5 +2026-07-13 02:13:46 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:46 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:46 [INFO] 处理: rising_bubble/t39 → traj_0039.h5 +2026-07-13 02:13:46 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:46 [INFO] 时间步数: 1 +2026-07-13 02:13:47 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0039.h5 +2026-07-13 02:13:47 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:47 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:47 [INFO] 处理: rising_bubble/t40 → traj_0040.h5 +2026-07-13 02:13:47 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:47 [INFO] 时间步数: 1 +2026-07-13 02:13:48 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0040.h5 +2026-07-13 02:13:48 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:48 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:48 [INFO] 处理: rising_bubble/t41 → traj_0041.h5 +2026-07-13 02:13:48 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:48 [INFO] 时间步数: 1 +2026-07-13 02:13:50 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0041.h5 +2026-07-13 02:13:50 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:50 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:50 [INFO] 处理: rising_bubble/t42 → traj_0042.h5 +2026-07-13 02:13:50 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:50 [INFO] 时间步数: 1 +2026-07-13 02:13:50 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0042.h5 +2026-07-13 02:13:50 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:50 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:50 [INFO] 处理: rising_bubble/t43 → traj_0043.h5 +2026-07-13 02:13:50 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:50 [INFO] 时间步数: 1 +2026-07-13 02:13:51 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0043.h5 +2026-07-13 02:13:51 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:51 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:51 [INFO] 处理: rising_bubble/t44 → traj_0044.h5 +2026-07-13 02:13:51 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:51 [INFO] 时间步数: 1 +2026-07-13 02:13:51 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0044.h5 +2026-07-13 02:13:51 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:51 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:51 [INFO] 处理: rising_bubble/t45 → traj_0045.h5 +2026-07-13 02:13:51 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:51 [INFO] 时间步数: 1 +2026-07-13 02:13:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0045.h5 +2026-07-13 02:13:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:52 [INFO] 处理: rising_bubble/t46 → traj_0046.h5 +2026-07-13 02:13:52 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:52 [INFO] 时间步数: 1 +2026-07-13 02:13:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0046.h5 +2026-07-13 02:13:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:52 [INFO] 处理: rising_bubble/t47 → traj_0047.h5 +2026-07-13 02:13:52 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:52 [INFO] 时间步数: 1 +2026-07-13 02:13:53 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0047.h5 +2026-07-13 02:13:53 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:53 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:53 [INFO] 处理: rising_bubble/t48 → traj_0048.h5 +2026-07-13 02:13:53 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:53 [INFO] 时间步数: 1 +2026-07-13 02:13:53 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0048.h5 +2026-07-13 02:13:53 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:53 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:53 [INFO] 处理: rising_bubble/t49 → traj_0049.h5 +2026-07-13 02:13:53 [INFO] 网格: 128x256, 域尺寸: 1.0000x2.0000 m +2026-07-13 02:13:53 [INFO] 时间步数: 1 +2026-07-13 02:13:54 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/rising_bubble/traj_0049.h5 +2026-07-13 02:13:54 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:13:54 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:13:54 [INFO] 处理: droplet_impact/t00 → traj_0000.h5 +2026-07-13 02:13:54 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:13:55 [INFO] 时间步数: 26 +2026-07-13 02:14:20 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0000.h5 +2026-07-13 02:14:20 [INFO] u 范围: [-2.210632, 2.173687] +2026-07-13 02:14:20 [INFO] alpha 范围: [-0.000000, 1.000000] +2026-07-13 02:14:20 [INFO] 处理: droplet_impact/t01 → traj_0001.h5 +2026-07-13 02:14:20 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:14:21 [INFO] 时间步数: 26 +2026-07-13 02:14:43 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0001.h5 +2026-07-13 02:14:43 [INFO] u 范围: [-5.783448, 6.483344] +2026-07-13 02:14:43 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:14:43 [INFO] 处理: droplet_impact/t02 → traj_0002.h5 +2026-07-13 02:14:43 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:14:44 [INFO] 时间步数: 26 +2026-07-13 02:15:19 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0002.h5 +2026-07-13 02:15:19 [INFO] u 范围: [-5.498227, 6.549977] +2026-07-13 02:15:19 [INFO] alpha 范围: [-0.000000, 1.000000] +2026-07-13 02:15:19 [INFO] 处理: droplet_impact/t03 → traj_0003.h5 +2026-07-13 02:15:19 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:20 [INFO] 时间步数: 26 +2026-07-13 02:15:49 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0003.h5 +2026-07-13 02:15:49 [INFO] u 范围: [-1.263968, 1.285267] +2026-07-13 02:15:49 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:49 [INFO] 处理: droplet_impact/t04 → traj_0004.h5 +2026-07-13 02:15:50 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:50 [INFO] 时间步数: 1 +2026-07-13 02:15:50 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0004.h5 +2026-07-13 02:15:50 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:50 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:50 [INFO] 处理: droplet_impact/t05 → traj_0005.h5 +2026-07-13 02:15:50 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:50 [INFO] 时间步数: 1 +2026-07-13 02:15:51 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0005.h5 +2026-07-13 02:15:51 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:51 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:51 [INFO] 处理: droplet_impact/t06 → traj_0006.h5 +2026-07-13 02:15:51 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:51 [INFO] 时间步数: 1 +2026-07-13 02:15:52 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0006.h5 +2026-07-13 02:15:52 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:52 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:52 [INFO] 处理: droplet_impact/t07 → traj_0007.h5 +2026-07-13 02:15:52 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:52 [INFO] 时间步数: 1 +2026-07-13 02:15:54 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0007.h5 +2026-07-13 02:15:54 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:54 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:54 [INFO] 处理: droplet_impact/t08 → traj_0008.h5 +2026-07-13 02:15:54 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:54 [INFO] 时间步数: 1 +2026-07-13 02:15:54 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0008.h5 +2026-07-13 02:15:54 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:54 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:54 [INFO] 处理: droplet_impact/t09 → traj_0009.h5 +2026-07-13 02:15:54 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:54 [INFO] 时间步数: 1 +2026-07-13 02:15:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0009.h5 +2026-07-13 02:15:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:55 [INFO] 处理: droplet_impact/t10 → traj_0010.h5 +2026-07-13 02:15:55 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:55 [INFO] 时间步数: 1 +2026-07-13 02:15:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0010.h5 +2026-07-13 02:15:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:55 [INFO] 处理: droplet_impact/t11 → traj_0011.h5 +2026-07-13 02:15:55 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:55 [INFO] 时间步数: 1 +2026-07-13 02:15:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0011.h5 +2026-07-13 02:15:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:56 [INFO] 处理: droplet_impact/t12 → traj_0012.h5 +2026-07-13 02:15:56 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:56 [INFO] 时间步数: 1 +2026-07-13 02:15:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0012.h5 +2026-07-13 02:15:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:57 [INFO] 处理: droplet_impact/t13 → traj_0013.h5 +2026-07-13 02:15:57 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:58 [INFO] 时间步数: 1 +2026-07-13 02:15:59 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0013.h5 +2026-07-13 02:15:59 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:59 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:59 [INFO] 处理: droplet_impact/t14 → traj_0014.h5 +2026-07-13 02:15:59 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:59 [INFO] 时间步数: 1 +2026-07-13 02:15:59 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0014.h5 +2026-07-13 02:15:59 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:15:59 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:15:59 [INFO] 处理: droplet_impact/t15 → traj_0015.h5 +2026-07-13 02:15:59 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:15:59 [INFO] 时间步数: 1 +2026-07-13 02:16:00 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0015.h5 +2026-07-13 02:16:00 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:00 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:00 [INFO] 处理: droplet_impact/t16 → traj_0016.h5 +2026-07-13 02:16:00 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:00 [INFO] 时间步数: 1 +2026-07-13 02:16:00 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0016.h5 +2026-07-13 02:16:00 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:00 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:00 [INFO] 处理: droplet_impact/t17 → traj_0017.h5 +2026-07-13 02:16:01 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:01 [INFO] 时间步数: 1 +2026-07-13 02:16:01 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0017.h5 +2026-07-13 02:16:01 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:01 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:01 [INFO] 处理: droplet_impact/t18 → traj_0018.h5 +2026-07-13 02:16:01 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:01 [INFO] 时间步数: 1 +2026-07-13 02:16:02 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0018.h5 +2026-07-13 02:16:02 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:02 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:02 [INFO] 处理: droplet_impact/t19 → traj_0019.h5 +2026-07-13 02:16:02 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:02 [INFO] 时间步数: 1 +2026-07-13 02:16:03 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0019.h5 +2026-07-13 02:16:03 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:03 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:03 [INFO] 处理: droplet_impact/t20 → traj_0020.h5 +2026-07-13 02:16:03 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:03 [INFO] 时间步数: 1 +2026-07-13 02:16:04 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0020.h5 +2026-07-13 02:16:04 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:04 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:04 [INFO] 处理: droplet_impact/t21 → traj_0021.h5 +2026-07-13 02:16:04 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:04 [INFO] 时间步数: 1 +2026-07-13 02:16:04 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0021.h5 +2026-07-13 02:16:04 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:04 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:04 [INFO] 处理: droplet_impact/t22 → traj_0022.h5 +2026-07-13 02:16:04 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:04 [INFO] 时间步数: 1 +2026-07-13 02:16:05 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0022.h5 +2026-07-13 02:16:05 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:05 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:05 [INFO] 处理: droplet_impact/t23 → traj_0023.h5 +2026-07-13 02:16:05 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:05 [INFO] 时间步数: 1 +2026-07-13 02:16:07 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0023.h5 +2026-07-13 02:16:07 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:07 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:07 [INFO] 处理: droplet_impact/t24 → traj_0024.h5 +2026-07-13 02:16:07 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:07 [INFO] 时间步数: 1 +2026-07-13 02:16:08 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0024.h5 +2026-07-13 02:16:08 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:08 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:08 [INFO] 处理: droplet_impact/t25 → traj_0025.h5 +2026-07-13 02:16:08 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:08 [INFO] 时间步数: 1 +2026-07-13 02:16:08 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0025.h5 +2026-07-13 02:16:08 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:08 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:08 [INFO] 处理: droplet_impact/t26 → traj_0026.h5 +2026-07-13 02:16:08 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:08 [INFO] 时间步数: 1 +2026-07-13 02:16:11 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0026.h5 +2026-07-13 02:16:11 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:11 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:11 [INFO] 处理: droplet_impact/t27 → traj_0027.h5 +2026-07-13 02:16:11 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:11 [INFO] 时间步数: 1 +2026-07-13 02:16:12 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0027.h5 +2026-07-13 02:16:12 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:12 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:12 [INFO] 处理: droplet_impact/t28 → traj_0028.h5 +2026-07-13 02:16:12 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:12 [INFO] 时间步数: 1 +2026-07-13 02:16:13 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0028.h5 +2026-07-13 02:16:13 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:13 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:13 [INFO] 处理: droplet_impact/t29 → traj_0029.h5 +2026-07-13 02:16:13 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:13 [INFO] 时间步数: 1 +2026-07-13 02:16:13 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0029.h5 +2026-07-13 02:16:13 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:13 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:13 [INFO] 处理: droplet_impact/t30 → traj_0030.h5 +2026-07-13 02:16:13 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:13 [INFO] 时间步数: 1 +2026-07-13 02:16:14 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0030.h5 +2026-07-13 02:16:14 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:14 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:14 [INFO] 处理: droplet_impact/t31 → traj_0031.h5 +2026-07-13 02:16:14 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:14 [INFO] 时间步数: 1 +2026-07-13 02:16:15 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0031.h5 +2026-07-13 02:16:15 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:15 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:15 [INFO] 处理: droplet_impact/t32 → traj_0032.h5 +2026-07-13 02:16:15 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:15 [INFO] 时间步数: 1 +2026-07-13 02:16:15 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0032.h5 +2026-07-13 02:16:15 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:15 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:15 [INFO] 处理: droplet_impact/t33 → traj_0033.h5 +2026-07-13 02:16:15 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:15 [INFO] 时间步数: 1 +2026-07-13 02:16:16 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0033.h5 +2026-07-13 02:16:16 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:16 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:16 [INFO] 处理: droplet_impact/t34 → traj_0034.h5 +2026-07-13 02:16:16 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:16 [INFO] 时间步数: 1 +2026-07-13 02:16:17 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0034.h5 +2026-07-13 02:16:17 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:17 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:17 [INFO] 处理: droplet_impact/t35 → traj_0035.h5 +2026-07-13 02:16:17 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:17 [INFO] 时间步数: 1 +2026-07-13 02:16:17 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0035.h5 +2026-07-13 02:16:17 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:17 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:17 [INFO] 处理: droplet_impact/t36 → traj_0036.h5 +2026-07-13 02:16:17 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:17 [INFO] 时间步数: 1 +2026-07-13 02:16:18 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0036.h5 +2026-07-13 02:16:18 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:18 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:18 [INFO] 处理: droplet_impact/t37 → traj_0037.h5 +2026-07-13 02:16:18 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:18 [INFO] 时间步数: 1 +2026-07-13 02:16:18 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0037.h5 +2026-07-13 02:16:18 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:18 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:18 [INFO] 处理: droplet_impact/t38 → traj_0038.h5 +2026-07-13 02:16:19 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:19 [INFO] 时间步数: 1 +2026-07-13 02:16:20 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0038.h5 +2026-07-13 02:16:20 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:20 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:20 [INFO] 处理: droplet_impact/t39 → traj_0039.h5 +2026-07-13 02:16:20 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:20 [INFO] 时间步数: 1 +2026-07-13 02:16:21 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0039.h5 +2026-07-13 02:16:21 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:21 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:21 [INFO] 处理: droplet_impact/t40 → traj_0040.h5 +2026-07-13 02:16:21 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:21 [INFO] 时间步数: 1 +2026-07-13 02:16:21 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0040.h5 +2026-07-13 02:16:21 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:21 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:21 [INFO] 处理: droplet_impact/t41 → traj_0041.h5 +2026-07-13 02:16:21 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:21 [INFO] 时间步数: 1 +2026-07-13 02:16:22 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0041.h5 +2026-07-13 02:16:22 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:22 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:22 [INFO] 处理: droplet_impact/t42 → traj_0042.h5 +2026-07-13 02:16:22 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:22 [INFO] 时间步数: 1 +2026-07-13 02:16:22 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0042.h5 +2026-07-13 02:16:22 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:22 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:22 [INFO] 处理: droplet_impact/t43 → traj_0043.h5 +2026-07-13 02:16:22 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:22 [INFO] 时间步数: 1 +2026-07-13 02:16:23 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0043.h5 +2026-07-13 02:16:23 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:23 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:23 [INFO] 处理: droplet_impact/t44 → traj_0044.h5 +2026-07-13 02:16:23 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:23 [INFO] 时间步数: 1 +2026-07-13 02:16:24 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0044.h5 +2026-07-13 02:16:24 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:24 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:24 [INFO] 处理: droplet_impact/t45 → traj_0045.h5 +2026-07-13 02:16:24 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:24 [INFO] 时间步数: 1 +2026-07-13 02:16:24 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0045.h5 +2026-07-13 02:16:24 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:24 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:24 [INFO] 处理: droplet_impact/t46 → traj_0046.h5 +2026-07-13 02:16:24 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:24 [INFO] 时间步数: 1 +2026-07-13 02:16:25 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0046.h5 +2026-07-13 02:16:25 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:25 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:25 [INFO] 处理: droplet_impact/t47 → traj_0047.h5 +2026-07-13 02:16:25 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:25 [INFO] 时间步数: 1 +2026-07-13 02:16:25 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0047.h5 +2026-07-13 02:16:25 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:25 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:25 [INFO] 处理: droplet_impact/t48 → traj_0048.h5 +2026-07-13 02:16:25 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:25 [INFO] 时间步数: 1 +2026-07-13 02:16:26 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0048.h5 +2026-07-13 02:16:26 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:26 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:26 [INFO] 处理: droplet_impact/t49 → traj_0049.h5 +2026-07-13 02:16:26 [INFO] 网格: 256x256, 域尺寸: 0.0500x0.0500 m +2026-07-13 02:16:26 [INFO] 时间步数: 1 +2026-07-13 02:16:27 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/droplet_impact/traj_0049.h5 +2026-07-13 02:16:27 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:27 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:27 [INFO] 处理: stokes_wave/t00 → traj_0000.h5 +2026-07-13 02:16:27 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:27 [INFO] 时间步数: 26 +2026-07-13 02:16:32 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0000.h5 +2026-07-13 02:16:32 [INFO] u 范围: [-3.928440, 2.871540] +2026-07-13 02:16:32 [INFO] alpha 范围: [-0.000000, 1.063380] +2026-07-13 02:16:32 [INFO] 处理: stokes_wave/t01 → traj_0001.h5 +2026-07-13 02:16:32 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:32 [INFO] 时间步数: 26 +2026-07-13 02:16:37 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0001.h5 +2026-07-13 02:16:37 [INFO] u 范围: [-3.584270, 4.865460] +2026-07-13 02:16:37 [INFO] alpha 范围: [-0.000000, 1.068190] +2026-07-13 02:16:37 [INFO] 处理: stokes_wave/t02 → traj_0002.h5 +2026-07-13 02:16:37 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:38 [INFO] 时间步数: 26 +2026-07-13 02:16:43 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0002.h5 +2026-07-13 02:16:43 [INFO] u 范围: [-3.717390, 4.873250] +2026-07-13 02:16:43 [INFO] alpha 范围: [-0.000000, 1.027200] +2026-07-13 02:16:43 [INFO] 处理: stokes_wave/t03 → traj_0003.h5 +2026-07-13 02:16:43 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:43 [INFO] 时间步数: 26 +2026-07-13 02:16:48 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0003.h5 +2026-07-13 02:16:48 [INFO] u 范围: [-3.189630, 3.615010] +2026-07-13 02:16:48 [INFO] alpha 范围: [-0.000000, 1.048850] +2026-07-13 02:16:48 [INFO] 处理: stokes_wave/t04 → traj_0004.h5 +2026-07-13 02:16:48 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:48 [INFO] 时间步数: 26 +2026-07-13 02:16:53 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0004.h5 +2026-07-13 02:16:53 [INFO] u 范围: [-4.078410, 4.634640] +2026-07-13 02:16:53 [INFO] alpha 范围: [-0.000000, 1.056010] +2026-07-13 02:16:53 [INFO] 处理: stokes_wave/t05 → traj_0005.h5 +2026-07-13 02:16:53 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:53 [INFO] 时间步数: 1 +2026-07-13 02:16:54 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0005.h5 +2026-07-13 02:16:54 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:54 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:54 [INFO] 处理: stokes_wave/t06 → traj_0006.h5 +2026-07-13 02:16:54 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:54 [INFO] 时间步数: 1 +2026-07-13 02:16:54 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0006.h5 +2026-07-13 02:16:54 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:54 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:54 [INFO] 处理: stokes_wave/t07 → traj_0007.h5 +2026-07-13 02:16:54 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:54 [INFO] 时间步数: 1 +2026-07-13 02:16:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0007.h5 +2026-07-13 02:16:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:55 [INFO] 处理: stokes_wave/t08 → traj_0008.h5 +2026-07-13 02:16:55 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:55 [INFO] 时间步数: 1 +2026-07-13 02:16:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0008.h5 +2026-07-13 02:16:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:55 [INFO] 处理: stokes_wave/t09 → traj_0009.h5 +2026-07-13 02:16:55 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:55 [INFO] 时间步数: 1 +2026-07-13 02:16:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0009.h5 +2026-07-13 02:16:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:55 [INFO] 处理: stokes_wave/t10 → traj_0010.h5 +2026-07-13 02:16:55 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:55 [INFO] 时间步数: 1 +2026-07-13 02:16:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0010.h5 +2026-07-13 02:16:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:55 [INFO] 处理: stokes_wave/t11 → traj_0011.h5 +2026-07-13 02:16:55 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:55 [INFO] 时间步数: 1 +2026-07-13 02:16:55 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0011.h5 +2026-07-13 02:16:55 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:55 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:55 [INFO] 处理: stokes_wave/t12 → traj_0012.h5 +2026-07-13 02:16:55 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:55 [INFO] 时间步数: 1 +2026-07-13 02:16:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0012.h5 +2026-07-13 02:16:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:56 [INFO] 处理: stokes_wave/t13 → traj_0013.h5 +2026-07-13 02:16:56 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:56 [INFO] 时间步数: 1 +2026-07-13 02:16:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0013.h5 +2026-07-13 02:16:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:56 [INFO] 处理: stokes_wave/t14 → traj_0014.h5 +2026-07-13 02:16:56 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:56 [INFO] 时间步数: 1 +2026-07-13 02:16:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0014.h5 +2026-07-13 02:16:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:56 [INFO] 处理: stokes_wave/t15 → traj_0015.h5 +2026-07-13 02:16:56 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:56 [INFO] 时间步数: 1 +2026-07-13 02:16:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0015.h5 +2026-07-13 02:16:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:56 [INFO] 处理: stokes_wave/t16 → traj_0016.h5 +2026-07-13 02:16:56 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:56 [INFO] 时间步数: 1 +2026-07-13 02:16:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0016.h5 +2026-07-13 02:16:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:56 [INFO] 处理: stokes_wave/t17 → traj_0017.h5 +2026-07-13 02:16:56 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:56 [INFO] 时间步数: 1 +2026-07-13 02:16:56 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0017.h5 +2026-07-13 02:16:56 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:56 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:56 [INFO] 处理: stokes_wave/t18 → traj_0018.h5 +2026-07-13 02:16:56 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:57 [INFO] 时间步数: 1 +2026-07-13 02:16:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0018.h5 +2026-07-13 02:16:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:57 [INFO] 处理: stokes_wave/t19 → traj_0019.h5 +2026-07-13 02:16:57 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:57 [INFO] 时间步数: 1 +2026-07-13 02:16:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0019.h5 +2026-07-13 02:16:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:57 [INFO] 处理: stokes_wave/t20 → traj_0020.h5 +2026-07-13 02:16:57 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:57 [INFO] 时间步数: 1 +2026-07-13 02:16:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0020.h5 +2026-07-13 02:16:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:57 [INFO] 处理: stokes_wave/t21 → traj_0021.h5 +2026-07-13 02:16:57 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:57 [INFO] 时间步数: 1 +2026-07-13 02:16:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0021.h5 +2026-07-13 02:16:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:57 [INFO] 处理: stokes_wave/t22 → traj_0022.h5 +2026-07-13 02:16:57 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:57 [INFO] 时间步数: 1 +2026-07-13 02:16:57 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0022.h5 +2026-07-13 02:16:57 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:57 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:57 [INFO] 处理: stokes_wave/t23 → traj_0023.h5 +2026-07-13 02:16:57 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:57 [INFO] 时间步数: 1 +2026-07-13 02:16:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0023.h5 +2026-07-13 02:16:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:58 [INFO] 处理: stokes_wave/t24 → traj_0024.h5 +2026-07-13 02:16:58 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:58 [INFO] 时间步数: 1 +2026-07-13 02:16:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0024.h5 +2026-07-13 02:16:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:58 [INFO] 处理: stokes_wave/t25 → traj_0025.h5 +2026-07-13 02:16:58 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:58 [INFO] 时间步数: 1 +2026-07-13 02:16:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0025.h5 +2026-07-13 02:16:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:58 [INFO] 处理: stokes_wave/t26 → traj_0026.h5 +2026-07-13 02:16:58 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:58 [INFO] 时间步数: 1 +2026-07-13 02:16:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0026.h5 +2026-07-13 02:16:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:58 [INFO] 处理: stokes_wave/t27 → traj_0027.h5 +2026-07-13 02:16:58 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:58 [INFO] 时间步数: 1 +2026-07-13 02:16:58 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0027.h5 +2026-07-13 02:16:58 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:58 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:58 [INFO] 处理: stokes_wave/t28 → traj_0028.h5 +2026-07-13 02:16:58 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:58 [INFO] 时间步数: 1 +2026-07-13 02:16:59 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0028.h5 +2026-07-13 02:16:59 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:59 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:59 [INFO] 处理: stokes_wave/t29 → traj_0029.h5 +2026-07-13 02:16:59 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:59 [INFO] 时间步数: 1 +2026-07-13 02:16:59 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0029.h5 +2026-07-13 02:16:59 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:16:59 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:16:59 [INFO] 处理: stokes_wave/t30 → traj_0030.h5 +2026-07-13 02:16:59 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:16:59 [INFO] 时间步数: 1 +2026-07-13 02:17:00 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0030.h5 +2026-07-13 02:17:00 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:00 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:00 [INFO] 处理: stokes_wave/t31 → traj_0031.h5 +2026-07-13 02:17:00 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:00 [INFO] 时间步数: 1 +2026-07-13 02:17:01 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0031.h5 +2026-07-13 02:17:01 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:01 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:01 [INFO] 处理: stokes_wave/t32 → traj_0032.h5 +2026-07-13 02:17:02 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:02 [INFO] 时间步数: 1 +2026-07-13 02:17:03 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0032.h5 +2026-07-13 02:17:03 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:03 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:03 [INFO] 处理: stokes_wave/t33 → traj_0033.h5 +2026-07-13 02:17:03 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:03 [INFO] 时间步数: 1 +2026-07-13 02:17:05 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0033.h5 +2026-07-13 02:17:05 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:05 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:05 [INFO] 处理: stokes_wave/t34 → traj_0034.h5 +2026-07-13 02:17:05 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:05 [INFO] 时间步数: 1 +2026-07-13 02:17:05 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0034.h5 +2026-07-13 02:17:05 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:05 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:05 [INFO] 处理: stokes_wave/t35 → traj_0035.h5 +2026-07-13 02:17:05 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:05 [INFO] 时间步数: 1 +2026-07-13 02:17:05 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0035.h5 +2026-07-13 02:17:05 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:05 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:05 [INFO] 处理: stokes_wave/t36 → traj_0036.h5 +2026-07-13 02:17:05 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:05 [INFO] 时间步数: 1 +2026-07-13 02:17:05 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0036.h5 +2026-07-13 02:17:05 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:05 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:05 [INFO] 处理: stokes_wave/t37 → traj_0037.h5 +2026-07-13 02:17:06 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:06 [INFO] 时间步数: 1 +2026-07-13 02:17:06 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0037.h5 +2026-07-13 02:17:06 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:06 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:06 [INFO] 处理: stokes_wave/t38 → traj_0038.h5 +2026-07-13 02:17:06 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:06 [INFO] 时间步数: 1 +2026-07-13 02:17:06 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0038.h5 +2026-07-13 02:17:06 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:06 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:06 [INFO] 处理: stokes_wave/t39 → traj_0039.h5 +2026-07-13 02:17:06 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:06 [INFO] 时间步数: 1 +2026-07-13 02:17:06 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0039.h5 +2026-07-13 02:17:06 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:06 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:06 [INFO] 处理: stokes_wave/t40 → traj_0040.h5 +2026-07-13 02:17:06 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:06 [INFO] 时间步数: 1 +2026-07-13 02:17:06 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0040.h5 +2026-07-13 02:17:06 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:06 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:06 [INFO] 处理: stokes_wave/t41 → traj_0041.h5 +2026-07-13 02:17:06 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:06 [INFO] 时间步数: 1 +2026-07-13 02:17:07 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0041.h5 +2026-07-13 02:17:07 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:07 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:07 [INFO] 处理: stokes_wave/t42 → traj_0042.h5 +2026-07-13 02:17:07 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:07 [INFO] 时间步数: 1 +2026-07-13 02:17:07 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0042.h5 +2026-07-13 02:17:07 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:07 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:07 [INFO] 处理: stokes_wave/t43 → traj_0043.h5 +2026-07-13 02:17:07 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:07 [INFO] 时间步数: 1 +2026-07-13 02:17:07 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0043.h5 +2026-07-13 02:17:07 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:07 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:07 [INFO] 处理: stokes_wave/t44 → traj_0044.h5 +2026-07-13 02:17:07 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:07 [INFO] 时间步数: 1 +2026-07-13 02:17:08 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0044.h5 +2026-07-13 02:17:08 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:08 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:08 [INFO] 处理: stokes_wave/t45 → traj_0045.h5 +2026-07-13 02:17:08 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:08 [INFO] 时间步数: 2 +2026-07-13 02:17:08 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0045.h5 +2026-07-13 02:17:08 [INFO] u 范围: [-2.643370, 2.845920] +2026-07-13 02:17:08 [INFO] alpha 范围: [-0.000000, 1.000280] +2026-07-13 02:17:08 [INFO] 处理: stokes_wave/t46 → traj_0046.h5 +2026-07-13 02:17:08 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:09 [INFO] 时间步数: 1 +2026-07-13 02:17:09 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0046.h5 +2026-07-13 02:17:09 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:09 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:09 [INFO] 处理: stokes_wave/t47 → traj_0047.h5 +2026-07-13 02:17:09 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:09 [INFO] 时间步数: 1 +2026-07-13 02:17:09 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0047.h5 +2026-07-13 02:17:09 [INFO] u 范围: [0.000000, 0.000000] +2026-07-13 02:17:09 [INFO] alpha 范围: [0.000000, 1.000000] +2026-07-13 02:17:09 [INFO] 处理: stokes_wave/t48 → traj_0048.h5 +2026-07-13 02:17:09 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:09 [INFO] 时间步数: 2 +2026-07-13 02:17:10 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0048.h5 +2026-07-13 02:17:10 [INFO] u 范围: [-2.274270, 4.075860] +2026-07-13 02:17:10 [INFO] alpha 范围: [-0.000000, 1.000530] +2026-07-13 02:17:10 [INFO] 处理: stokes_wave/t49 → traj_0049.h5 +2026-07-13 02:17:10 [INFO] 网格: 750x70, 域尺寸: 30.0000x0.7000 m (x-z plane) +2026-07-13 02:17:10 [INFO] 时间步数: 2 +2026-07-13 02:17:11 [INFO] HDF5 写入: /mnt/f/agent-workspace/paper2/Exp/data/processed/stokes_wave/traj_0049.h5 +2026-07-13 02:17:11 [INFO] u 范围: [-3.054720, 1.768100] +2026-07-13 02:17:11 [INFO] alpha 范围: [-0.000000, 1.000780] +2026-07-13 02:17:11 [INFO] === 后处理完成: 成功 200, 失败 0 === +[Mon Jul 13 02:17:11 CST 2026] Done. Exit: 0 diff --git a/scripts/postprocess_to_hdf5.py b/scripts/postprocess_to_hdf5.py new file mode 100644 index 0000000000000000000000000000000000000000..7dd4776b1b6096299ff630fc9343e4007463f401 --- /dev/null +++ b/scripts/postprocess_to_hdf5.py @@ -0,0 +1,796 @@ +#!/usr/bin/env python3 +""" +postprocess_to_hdf5.py — 将 OpenFOAM interFoam 原生输出转为 HDF5 + +直接解析 OpenFOAM 原生字段文件（不需要 foamToVTK），提取 u, v, alpha.water +场数据并写入 HDF5 格式，与训练 pipeline 兼容。 + +网格坐标从 system/blockMeshDict 解析（规则矩形网格）。 +字段值从每个时间步目录的 U, p_rgh, alpha.water 文件解析。 + +输出 HDF5 格式: + { + 'u': float32, shape=(n_frames, nx, ny), # X-速度 + 'v': float32, shape=(n_frames, nx, ny), # Y-速度 + 'p': float32, shape=(n_frames, nx, ny), # 压力 (p_rgh) + 'alpha': float32, shape=(n_frames, nx, ny), # 相分数 (water=1) + 'x_grid': float64, shape=(nx, ny), # X 坐标网格 + 'y_grid': float64, shape=(nx, ny), # Y 坐标网格 + } + attrs: + nx, ny, n_saved, times, case_name, mesh_Lx, mesh_Ly + +用法: + python3 postprocess_to_hdf5.py --input /opt/output/exp-openfoam-001 + python3 postprocess_to_hdf5.py --input /opt/output --from-processors + python3 postprocess_to_hdf5.py --input /opt/output --from-processors --times 0,0.5,1,1.5,2 + +参考: + [1] 数据加载兼容: Code/scripts/data_trans/openfoam_dataload.py 的 _read_field 方法 + [2] OpenFOAM Foundation. OpenFOAM v9 User Guide, 2021. +""" + +import argparse +import os +import re +import struct +import logging + +import numpy as np +import h5py + + +# ─── OpenFOAM 字段文件解析 ───────────────────────────────────────────── + +def read_foam_field(path, n_cells=None): + """解析 OpenFOAM 字段文件的 internalField + + 支持: + - ASCII: nonuniform List N (...数据...) + - ASCII: uniform (值) 或 uniform 值; + - Binary: nonuniform List N (binary marker + data) + + 参数: + path: 字段文件路径 + n_cells: 网格单元数（可选），uniform 场广播时必需； + 若未提供则尝试从同级 C 文件推断 + + 返回: + np.ndarray: 标量场 shape=(N,), 向量场 shape=(N,3) + """ + # 先以二进制模式读取，用于检测 ASCII/binary 格式 + with open(path, "rb") as fbin: + raw = fbin.read() + + # 检测 internalField nonuniform List 头部 + # 尝试 UTF-8，失败则 latin-1 + try: + header_text = raw.decode("utf-8") + except UnicodeDecodeError: + header_text = raw.decode("latin-1") + + m_head = re.search( + r"internalField\s+nonuniform\s+List<(vector|scalar)>\s*(\d+)", + header_text + ) + if not m_head: + # uniform 场处理 + return _read_uniform_field(header_text, path, n_cells) + + ftype = m_head.group(1) + n_decl = int(m_head.group(2)) + + # 找到 '(' 数据起始位置（在头部文本中的偏移 = 在 raw 中的偏移） + paren_text_pos = header_text.find("(", m_head.end()) + if paren_text_pos == -1: + raise ValueError(f"缺失数据起始 '(': {path}") + # 转换为 raw 字节偏移（latin-1 下 1:1 映射） + paren_raw_pos = len(header_text[:paren_text_pos].encode("latin-1")) + + # 检测 binary vs ASCII 格式 + # 策略: 检查 '(' 后的前 100 字节是否全部为可打印 ASCII 或空白 + # ASCII 格式: \n + 数字行 (全部为可打印字符) + # Binary 格式: 包含非打印字节 (< 0x20 且不是 \n \r \t) + check_start = paren_raw_pos + 1 + check_end = min(check_start + 200, len(raw)) + sample = raw[check_start:check_end] + is_ascii = all( + (0x20 <= b <= 0x7e) or b in (0x09, 0x0a, 0x0d) # printable + whitespace + for b in sample + ) + + if is_ascii: + return _read_ascii_field(header_text, paren_text_pos, ftype, path) + else: + return _read_binary_field(raw, paren_text_pos, ftype, n_decl, path) + + +def _read_binary_field(raw, paren_pos, ftype, n_decl, path): + """解析 OpenFOAM binary 格式字段数据 + + OpenFOAM v1906 (ESI) binary format: + '(' + N * data_bytes + ')' + + 数据直接跟在 '(' 之后（无 marker / count）， + 为 little-endian float64: + vector: N * 3 * float64 (LE) + scalar: N * float64 (LE) + + 数据块以 ');\n' 结束。 + """ + # 数据起始：'(' 之后直接是二进制数据 + data_start = paren_pos + 1 + + if ftype == "vector": + n_bytes = n_decl * 3 * 8 # 3 * float64 + data = np.frombuffer(raw[data_start:data_start + n_bytes], dtype="\s+(\d+)", txt) + if m: + return int(m.group(1)) + raise ValueError(f"无法推断网格点数: {path}") + + +# ─── blockMeshDict 解析 ───────────────────────────────────────────────── + +def parse_block_mesh(case_dir): + """从 system/blockMeshDict 解析网格参数 + + 返回: dict {"nx", "ny", "x0", "y0", "dx", "dy", "Lx", "Ly"} + """ + bmd_path = os.path.join(case_dir, "system", "blockMeshDict") + with open(bmd_path, "r", encoding="latin-1") as f: + content = f.read() + + # 仅在 vertices 块内匹配顶点坐标，避免匹配 blocks 行的网格尺寸 + v_start = content.find("vertices") + if v_start == -1: + raise ValueError(f"blockMeshDict 中未找到 vertices: {bmd_path}") + v_paren = content.find("(", v_start) + depth, v_end = 0, v_paren + for ci in range(v_paren, len(content)): + if content[ci] == "(": + depth += 1 + elif content[ci] == ")": + depth -= 1 + if depth == 0: + v_end = ci + break + v_block = content[v_paren:v_end + 1] + + verts = re.findall( + r"\(\s*([\d.eE+\-]+)\s+([\d.eE+\-]+)\s+([\d.eE+\-]+)\s*\)", v_block + ) + if len(verts) < 3: + raise ValueError(f"blockMeshDict vertices 不足: {bmd_path}") + # 取所有顶点的 min/max 作为域边界 + xs = [float(v[0]) for v in verts] + ys = [float(v[1]) for v in verts] + zs = [float(v[2]) for v in verts] + x0, x1 = min(xs), max(xs) + y0, y1 = min(ys), max(ys) + z0, z1 = min(zs), max(zs) + + m = re.search(r"hex\s+\([^)]+\)\s+\(\s*(\d+)\s+(\d+)\s+(\d+)\s*\)", content) + if not m: + raise ValueError(f"无法解析 blockMeshDict blocks: {bmd_path}") + nx, ny, nz = int(m.group(1)), int(m.group(2)), int(m.group(3)) + + # 有效行维度：2D 案例用 ny，3D 薄方向案例（ny=1, nz>1）用 nz + nrows = nz if (ny == 1 and nz > 1) else ny + + Lx = x1 - x0 + # 3D 薄方向案例用 z 方向尺寸作为 Ly + if ny == 1 and nz > 1: + Ly = z1 - z0 + else: + Ly = y1 - y0 + dx = Lx / nx + dy = Ly / nrows + + return { + "nx": nx, "ny": nrows, "nz": nz, + "ny_orig": ny, "nz_orig": nz, + "x0": x0, "y0": y0, + "dx": dx, "dy": dy, + "Lx": Lx, "Ly": Ly, + } + + +# ─── 时间步发现 ────────────────────────────────────────────────────────── + +def find_time_dirs(case_dir): + """发现 case 目录下的所有数值时间步目录（已 reconstructPar 合并）""" + time_dirs = [] + for entry in os.listdir(case_dir): + full_path = os.path.join(case_dir, entry) + if os.path.isdir(full_path) and re.match(r"^\d+(\.\d+)?$", entry): + # 确认包含 U 文件 + if os.path.exists(os.path.join(full_path, "U")): + time_dirs.append(entry) + time_dirs.sort(key=lambda x: float(x)) + return time_dirs + + +def find_processor_dirs(case_dir): + """发现 case 下所有 processor 子目录 + + 每个 processor 目录必须包含至少一个数值时间目录且时间目录含 U 文件。 + 返回按编号排序的目录名列表，如 ["processor0", "processor1"]。 + """ + proc_dirs = [] + for entry in os.listdir(case_dir): + full_path = os.path.join(case_dir, entry) + if not os.path.isdir(full_path) or not entry.startswith("processor"): + continue + # 验证至少有一个含 U 文件的数值时间目录 + for t_entry in os.listdir(full_path): + t_path = os.path.join(full_path, t_entry) + if (os.path.isdir(t_path) and + re.match(r"^\d+(\.\d+)?$", t_entry) and + os.path.exists(os.path.join(t_path, "U"))): + proc_dirs.append(entry) + break + # 按 processor 编号排序（processor0 < processor1 < ...） + proc_dirs.sort(key=lambda d: int(re.search(r"\d+", d).group())) + return proc_dirs + + +def find_processor_time_dirs(case_dir, proc_dirs): + """从 processor0 发现所有数值时间目录（并行模式） + + 返回排序后的时间目录名列表（字符串）。 + """ + ref_dir = os.path.join(case_dir, proc_dirs[0]) + time_dirs = [] + for entry in os.listdir(ref_dir): + full_path = os.path.join(ref_dir, entry) + if os.path.isdir(full_path) and re.match(r"^\d+(\.\d+)?$", entry): + if os.path.exists(os.path.join(full_path, "U")): + time_dirs.append(entry) + time_dirs.sort(key=lambda x: float(x)) + return time_dirs + + +def filter_time_dirs(time_dirs, times_str): + """按用户指定的时间值筛选时间目录（最近匹配） + + 参数: + time_dirs: 可用时间目录名列表（字符串），如 ["0", "0.01", "0.02"] + times_str: 逗号分隔的时间值，如 "0,0.5,1,1.5,2" + + 返回: + 筛选后的时间目录名列表（保持原顺序） + + 匹配容差: max(1e-4, 1e-6 * |t_requested|)（适配 OpenFOAM 输出精度） + """ + requested = [float(t.strip()) for t in times_str.split(",")] + available = [(float(t), t) for t in time_dirs] + selected = set() + for req in requested: + best_dir = None + best_diff = float("inf") + for avail_val, avail_dir in available: + diff = abs(avail_val - req) + if diff < best_diff: + best_diff = diff + best_dir = avail_dir + tol = max(1e-4, 1e-6 * abs(req)) + if best_dir is not None and best_diff < tol: + selected.add(best_dir) + else: + logging.warning(f" --times: 未找到接近 {req} 的时间目录 (最近距离={best_diff:.6g})") + return [t for t in time_dirs if t in selected] + + +def _detect_decomposition(dict_path, nx, ny, n_procs, cells_per_proc): + """推断 decomposePar 的 (n_x, n_y) 分解模式。 + + 优先从 decomposeParDict 读取；若不可用则根据 cell 数推断。 + 返回 (n_x, n_y)，始终满足 n_x * n_y == n_procs。 + """ + # 尝试从文件读取 + if os.path.exists(dict_path): + try: + with open(dict_path, "r", encoding="latin-1") as f: + content = f.read() + m = re.search(r"n\s*\(\s*(\d+)\s+(\d+)\s+(\d+)\s*\)", content) + if m: + n_x_f, n_y_f = int(m.group(1)), int(m.group(2)) + if n_x_f * n_y_f == n_procs: + logging.debug(f" decomposeParDict: n=({n_x_f},{n_y_f},1)") + return n_x_f, n_y_f + except Exception: + pass + + # 从 cell 数推断：尝试所有 (n_x, n_y) 对 + for cand_x in range(1, n_procs + 1): + if n_procs % cand_x != 0: + continue + cand_y = n_procs // cand_x + blk_nx = nx // cand_x if cand_x <= nx else None + blk_ny = ny // cand_y if cand_y <= ny else None + if blk_nx and blk_ny and blk_nx * blk_ny == cells_per_proc: + return cand_x, cand_y + + # 退化：全部切 x + logging.warning(f" 无法推断分解模式，默认 n=({n_procs},1,1)") + return n_procs, 1 + + +def _read_cell_addressing(path): + """读取 cellProcAddressing 文件，返回全局 cell ID 数组。 + + 格式: ASCII labelList（每行一个整数），在 ( 和 ) 之间。 + """ + with open(path, "r", encoding="latin-1") as f: + text = f.read() + lines = text.split("\n") + data_started = False + ids = [] + for line in lines: + s = line.strip() + if s == "(": + data_started = True + continue + if s == ")": + break + if data_started and s: + ids.append(int(s)) + return np.array(ids, dtype=np.int64) + + +def _read_proc_field(path, ftype, pnx, pny): + """读取单个 processor 的标量或向量场，返回 reshape 后的数组。 + + 标量: shape (pny, pnx) 向量: shape (pny, pnx, 3) + """ + raw = read_foam_field(path, n_cells=pnx * pny) + if ftype == "vector": + return raw.reshape(pny, pnx, 3) + else: + return raw.reshape(pny, pnx) + + +# ─── 主处理流程 ────────────────────────────────────────────────────────── + +def process_case(case_dir, h5_path, crop=1.0, from_processors=False, times=None, + case_type=None): + """处理单个 case: 读取所有时间步，写入 HDF5 + + 参数: + case_dir: OpenFOAM case 根目录 + h5_path: HDF5 输出文件完整路径 + crop: 水槽尾部裁剪比例 (0-1)，1.0=不裁剪 + from_processors: 若为 True，从 processor*/ 目录直接读取（跳过 reconstructPar） + times: 逗号分隔的时间值字符串（如 "0,0.5,1"），None 表示全部时间步 + case_type: 案例类型名（如 "dam_break"），用于 HDF5 case_name 属性 + """ + case_name = case_type if case_type else os.path.basename(case_dir) + + # 解析网格 + mesh = parse_block_mesh(case_dir) + nx, ny = mesh["nx"], mesh["ny"] + # x-z 平面案例 (ny_orig=1, nz>1): 垂直速度是 Uz (index=2) 而非 Uy (index=1) + is_xz = (mesh.get("ny_orig", ny) == 1 and mesh.get("nz_orig", 1) > 1) + v_comp = 2 if is_xz else 1 + logging.info(f" 网格: {nx}x{ny}, 域尺寸: {mesh['Lx']:.4f}x{mesh['Ly']:.4f} m" + f"{' (x-z plane)' if is_xz else ''}") + + # 生成 cell 中心坐标网格 (indexing='ij' -> shape (nx, ny), 匹配旧数据约定) + x_1d = np.array([mesh["x0"] + (i + 0.5) * mesh["dx"] for i in range(nx)]) + y_1d = np.array([mesh["y0"] + (j + 0.5) * mesh["dy"] for j in range(ny)]) + x_grid, y_grid = np.meshgrid(x_1d, y_1d, indexing="ij") # shape (nx, ny) + + if from_processors: + # -- 并行模式：从 processor*/ 目录直接读取 -- + proc_dirs = find_processor_dirs(case_dir) + if not proc_dirs: + logging.warning(f" 未发现 processor 目录: {case_dir}") + return + n_procs = len(proc_dirs) + logging.info(f" 并行模式: {n_procs} 个 processor") + + # 发现时间步（从 processor0）并按 --times 筛选 + time_dirs = find_processor_time_dirs(case_dir, proc_dirs) + if times is not None: + time_dirs = filter_time_dirs(time_dirs, times) + n_frames = len(time_dirs) + if n_frames == 0: + logging.warning(f" 未发现时间步: {case_dir}") + return + logging.info(f" 时间步数: {n_frames}") + + # 读取 cellProcAddressing 获取每个 processor 的 local→global 映射 + total_mesh = nx * ny + proc_global_ids = {} # {proc_dir: np.array of global cell IDs} + for proc_dir in proc_dirs: + addr_path = os.path.join(case_dir, proc_dir, "constant", "polyMesh", + "cellProcAddressing") + if os.path.exists(addr_path): + proc_global_ids[proc_dir] = _read_cell_addressing(addr_path) + else: + proc_global_ids[proc_dir] = None + + # 检测每个 processor 的实际 cell 数（从第一个非 uniform 时间步） + detect_t = time_dirs[1] if len(time_dirs) > 1 else time_dirs[0] + first_u_path = os.path.join(case_dir, proc_dirs[0], detect_t, "U") + first_u = read_foam_field(first_u_path, n_cells=nx * ny) + first_n_cells = first_u.shape[0] + + if first_n_cells >= total_mesh: + # 每个 processor 有完整 mesh（decomposePar 未实际分割） + logging.info(f" processor0 有完整 mesh ({first_n_cells} cells)，仅读 processor0") + proc_dirs = [proc_dirs[0]] + proc_ncells_list = [total_mesh] + use_addressing = False + proc_local_blocks = [(nx, ny, slice(0, ny), slice(0, nx))] + + elif all(v is not None for v in proc_global_ids.values()): + # 使用 cellProcAddressing 做精确映射 + use_addressing = True + proc_ncells_list = [len(proc_global_ids[pd]) for pd in proc_dirs] + logging.info(f" 使用 cellProcAddressing 精确映射 ({n_procs} 个 processor)") + + else: + # 回退: 从 decomposeParDict 推断分解模式 + use_addressing = False + decomp_dict_path = os.path.join(case_dir, "system", "decomposeParDict") + n_x, n_y = _detect_decomposition(decomp_dict_path, nx, ny, n_procs, + first_n_cells) + + proc_local_blocks = [] + if n_y > 1: + logging.info(f" 2D 分解: n=({n_x},{n_y},1)") + block_nx = nx // n_x + block_ny = ny // n_y + for pid in range(n_procs): + gx = pid % n_x + gy = pid // n_x + bx0, by0 = gx * block_nx, gy * block_ny + bx1 = min(bx0 + block_nx, nx) if gx < n_x - 1 else nx + by1 = min(by0 + block_ny, ny) if gy < n_y - 1 else ny + proc_local_blocks.append( + (bx1 - bx0, by1 - by0, slice(by0, by1), slice(bx0, bx1)) + ) + else: + logging.info(f" 1D x-分解: n=({n_x},1,1)") + boundaries = [0] + base, rem = divmod(nx, n_x) + for p in range(n_x): + boundaries.append(boundaries[-1] + base + (1 if p < rem else 0)) + for pid in range(n_procs): + pnx = boundaries[pid + 1] - boundaries[pid] + proc_local_blocks.append( + (pnx, ny, slice(0, ny), slice(boundaries[pid], boundaries[pid + 1])) + ) + proc_ncells_list = [bnx * bny for bnx, bny, _, _ in proc_local_blocks] + + # 预分配数组 — shape (n_frames, ny, nx)，与 OpenFOAM cell-major 行主序一致 + u_full = np.zeros((n_frames, ny, nx), dtype=np.float32) + v_full = np.zeros((n_frames, ny, nx), dtype=np.float32) + p_full = np.zeros((n_frames, ny, nx), dtype=np.float32) + alpha_full = np.zeros((n_frames, ny, nx), dtype=np.float32) + times_arr = np.zeros(n_frames, dtype=np.float64) + + for i, t_dir in enumerate(time_dirs): + times_arr[i] = float(t_dir) + + for j, proc_dir in enumerate(proc_dirs): + proc_base = os.path.join(case_dir, proc_dir, t_dir) + n_local = proc_ncells_list[j] + + if use_addressing: + # cellProcAddressing 精确映射 + global_ids = proc_global_ids[proc_dir] + g_ix = global_ids % nx + g_iy = global_ids // nx + + u_raw = read_foam_field(os.path.join(proc_base, "U"), + n_cells=n_local) + if u_raw.ndim == 1: + u_raw = u_raw.reshape(-1, 3) + u_full[i, g_iy, g_ix] = u_raw[:, 0].astype(np.float32) + v_full[i, g_iy, g_ix] = u_raw[:, v_comp].astype(np.float32) + + p_raw = read_foam_field(os.path.join(proc_base, "p_rgh"), + n_cells=n_local) + p_full[i, g_iy, g_ix] = p_raw.astype(np.float32) + + a_raw = read_foam_field(os.path.join(proc_base, "alpha.water"), + n_cells=n_local) + alpha_full[i, g_iy, g_ix] = a_raw.astype(np.float32) + else: + # 块放置（已知块位置） + pnx, pny, rows, cols = proc_local_blocks[j] + u_local = _read_proc_field(os.path.join(proc_base, "U"), + "vector", pnx, pny) + u_full[i, rows, cols] = u_local[:, :, 0].astype(np.float32) + v_full[i, rows, cols] = u_local[:, :, 1].astype(np.float32) + + p_local = _read_proc_field(os.path.join(proc_base, "p_rgh"), + "scalar", pnx, pny) + p_full[i, rows, cols] = p_local.astype(np.float32) + + a_local = _read_proc_field(os.path.join(proc_base, "alpha.water"), + "scalar", pnx, pny) + alpha_full[i, rows, cols] = a_local.astype(np.float32) + + # 转置为 (nx, ny) 输出约定 + u_data = u_full.transpose(0, 2, 1) # (n_frames, nx, ny) + v_data = v_full.transpose(0, 2, 1) + p_data = p_full.transpose(0, 2, 1) + alpha_data = alpha_full.transpose(0, 2, 1) + times = times_arr + + else: + # -- 重构模式：从根目录读取（原有逻辑） -- + time_dirs = find_time_dirs(case_dir) + if times is not None: + time_dirs = filter_time_dirs(time_dirs, times) + n_frames = len(time_dirs) + if n_frames == 0: + logging.warning(f" 未发现时间步: {case_dir}") + return + logging.info(f" 时间步数: {n_frames}") + + # 预分配数组 - shape (T, nx, ny), 与旧数据 (data_generation.py) 轴序一致 + u_data = np.zeros((n_frames, nx, ny), dtype=np.float32) + v_data = np.zeros((n_frames, nx, ny), dtype=np.float32) + p_data = np.zeros((n_frames, nx, ny), dtype=np.float32) + alpha_data = np.zeros((n_frames, nx, ny), dtype=np.float32) + times = np.zeros(n_frames, dtype=np.float64) + + for i, t_dir in enumerate(time_dirs): + t_path = os.path.join(case_dir, t_dir) + times[i] = float(t_dir) + + # 读取速度场 U (vector) + expected = ny * nx + u_raw = read_foam_field(os.path.join(t_path, "U"), n_cells=expected) + # u_raw shape: (nx*ny, 3)，行主序 (j*nx+i) + if u_raw.shape[0] != expected: + raise ValueError( + f"U field size {u_raw.shape[0]} != mesh {expected} ({ny}x{nx})" + ) + # reshape -> (ny, nx, 3)，再转置为 (nx, ny, 3) 匹配旧约定 + u_vec = u_raw.reshape(ny, nx, 3).transpose(1, 0, 2) + u_data[i] = u_vec[:, :, 0].astype(np.float32) # X-速度 + v_data[i] = u_vec[:, :, v_comp].astype(np.float32) # 垂直速度 (Y 或 Z) + + # 读取压力场 p_rgh (scalar) + p_raw = read_foam_field(os.path.join(t_path, "p_rgh"), n_cells=expected) + p_data[i] = p_raw.reshape(ny, nx).T.astype(np.float32) + + # 读取相分数 alpha.water (scalar) + alpha_raw = read_foam_field(os.path.join(t_path, "alpha.water"), n_cells=expected) + alpha_data[i] = alpha_raw.reshape(ny, nx).T.astype(np.float32) + + # 裁剪水槽尾部（仅对波浪案例有效） + if crop < 1.0: + nx_crop = max(1, int(nx * crop)) + logging.info(f" 裁剪: nx {nx} → {nx_crop} (crop={crop})") + u_data = u_data[:, :nx_crop, :] + v_data = v_data[:, :nx_crop, :] + p_data = p_data[:, :nx_crop, :] + alpha_data = alpha_data[:, :nx_crop, :] + x_grid = x_grid[:nx_crop, :] + y_grid = y_grid[:nx_crop, :] + nx = nx_crop + + # 写入 HDF5（格式兼容训练 pipeline 的 MultiphaseFlowDataset） + os.makedirs(os.path.dirname(h5_path), exist_ok=True) + with h5py.File(h5_path, "w") as f: + # 训练 pipeline 核心数据集: u, v, alpha, p + f.create_dataset("u", data=u_data, compression="gzip", compression_opts=4) + f.create_dataset("v", data=v_data, compression="gzip", compression_opts=4) + f.create_dataset("p", data=p_data, compression="gzip", compression_opts=4) + f.create_dataset("alpha", data=alpha_data, compression="gzip", compression_opts=4) + f.create_dataset("x_grid", data=x_grid) + f.create_dataset("y_grid", data=y_grid) + # 元数据 + f.attrs["nx"] = nx + f.attrs["ny"] = ny + f.attrs["n_saved"] = n_frames + f.attrs["times"] = times + f.attrs["case_name"] = case_name + f.attrs["mesh_Lx"] = mesh["Lx"] + f.attrs["mesh_Ly"] = mesh["Ly"] + + logging.info(f" HDF5 写入: {h5_path}") + logging.info(f" u 范围: [{u_data.min():.6f}, {u_data.max():.6f}]") + logging.info(f" alpha 范围: [{alpha_data.min():.6f}, {alpha_data.max():.6f}]") + + +def discover_trajectories(input_dir): + """自动发现 input_dir 下的所有 trajectory，按 case_type 组织 + + 发现逻辑: {input_dir}/{case_type}/tNN/ 目录中含 Allrun + system/blockMeshDict + + 返回: + dict: {case_type: [(traj_idx, case_dir), ...], ...} + """ + cases_by_type = {} + case_types = ["dam_break", "rising_bubble", "droplet_impact", "stokes_wave"] + + for case_type in case_types: + case_type_dir = os.path.join(input_dir, case_type) + if not os.path.isdir(case_type_dir): + continue + trajectories = [] + for entry in sorted(os.listdir(case_type_dir)): + traj_dir = os.path.join(case_type_dir, entry) + if not os.path.isdir(traj_dir): + continue + # 检查是否为有效的 OpenFOAM case + if (os.path.exists(os.path.join(traj_dir, "Allrun")) and + os.path.exists(os.path.join(traj_dir, "system", "blockMeshDict"))): + # 从目录名提取索引 (t00 → 0, t01 → 1, ...) + try: + traj_idx = int(entry.lstrip("t")) + except ValueError: + traj_idx = len(trajectories) + trajectories.append((traj_idx, traj_dir)) + if trajectories: + cases_by_type[case_type] = sorted(trajectories, key=lambda x: x[0]) + + return cases_by_type + + +def main(): + parser = argparse.ArgumentParser( + description="OpenFOAM interFoam 原生输出 → HDF5 转换" + ) + parser.add_argument( + "--input", type=str, default="/opt/output", + help="包含 case 目录的根目录（含 dam_break/, rising_bubble/, droplet_impact/ 子目录）" + ) + parser.add_argument( + "--output", type=str, default=None, + help="HDF5 输出根目录（默认 = 输入目录）" + ) + parser.add_argument( + "--crop", type=float, default=1.0, + help="水槽尾部裁剪比例 (0-1)，默认 1.0 不裁剪。仅对波浪案例有效，裁剪 x 方向尾部区域" + ) + parser.add_argument( + "--from-processors", action="store_true", default=False, + help="从 processor*/ 目录直接读取，跳过 reconstructPar（并行模式）" + ) + parser.add_argument( + "--times", type=str, default=None, + help="仅处理指定时间值（逗号分隔，如 '0,0.5,1,1.5,2'），默认全部时间步" + ) + parser.add_argument( + "-v", "--verbose", action="store_true", + help="详细日志输出" + ) + args = parser.parse_args() + + logging.basicConfig( + level=logging.DEBUG if args.verbose else logging.INFO, + format="%(asctime)s [%(levelname)s] %(message)s", + datefmt="%Y-%m-%d %H:%M:%S", + ) + + output_root = args.output if args.output else args.input + + # 发现所有 trajectory + cases_by_type = discover_trajectories(args.input) + + if not cases_by_type: + logging.warning(f"未发现任何 case 目录: {args.input}") + return + + total = sum(len(v) for v in cases_by_type.values()) + logging.info(f"发现 {total} 个 trajectory: " + + ", ".join(f"{k}={len(v)}" for k, v in cases_by_type.items())) + + success = 0 + failed = 0 + + for case_type, trajectories in cases_by_type.items(): + # 输出目录: {output_root}/{case_type}/traj_{NNNN}.h5 + h5_dir = os.path.join(output_root, case_type) + os.makedirs(h5_dir, exist_ok=True) + + for traj_idx, case_dir in trajectories: + # HDF5 文件名: traj_{NNNN}.h5（兼容 MultiphaseFlowDataset） + h5_path = os.path.join(h5_dir, f"traj_{traj_idx:04d}.h5") + logging.info(f"处理: {case_type}/t{traj_idx:02d} → {os.path.basename(h5_path)}") + try: + process_case(case_dir, h5_path, crop=args.crop, from_processors=args.from_processors, times=args.times, case_type=case_type) + success += 1 + except Exception as e: + logging.error(f" 处理失败: {e}") + failed += 1 + if args.verbose: + import traceback + traceback.print_exc() + + logging.info(f"=== 后处理完成: 成功 {success}, 失败 {failed} ===") + + +if __name__ == "__main__": + main() diff --git a/scripts/run_5per_type.log b/scripts/run_5per_type.log new file mode 100644 index 0000000000000000000000000000000000000000..084c2e59f82b8ab3da7de04f2f6c68e9266d416d --- /dev/null +++ b/scripts/run_5per_type.log @@ -0,0 +1,665 @@ +[2026-07-11 13:25:36] ========================================= +[2026-07-11 13:25:36] 每类 5 case 快速验证 (t00-t04) +[2026-07-11 13:25:36] ========================================= +[2026-07-11 13:25:36] --- dam_break --- +[2026-07-11 13:25:36] [SKIP] dam_break/t00 — 已完成 +[2026-07-11 13:25:36] [START] dam_break/t01 +[2026-07-11 14:22:27] [DONE] dam_break/t01 (56m51s) +[2026-07-11 14:22:27] [START] dam_break/t02 +[2026-07-11 14:59:06] [DONE] dam_break/t02 (36m39s) +[2026-07-11 14:59:06] [START] dam_break/t03 +[2026-07-11 16:24:09] [DONE] dam_break/t03 (85m3s) +[2026-07-11 16:24:09] [START] dam_break/t04 +[2026-07-11 16:43:06] [DONE] dam_break/t04 (18m57s) +[2026-07-11 16:43:06] --- rising_bubble --- +[2026-07-11 16:43:06] [START] rising_bubble/t00 +[2026-07-11 16:50:10] [DONE] rising_bubble/t00 (7m4s) +[2026-07-11 16:50:10] [START] rising_bubble/t01 +[2026-07-11 16:57:12] [DONE] rising_bubble/t01 (7m2s) +[2026-07-11 16:57:12] [START] rising_bubble/t02 +[2026-07-11 17:04:21] [DONE] rising_bubble/t02 (7m9s) +[2026-07-11 17:04:21] [START] rising_bubble/t03 +[2026-07-11 17:11:30] [DONE] rising_bubble/t03 (7m9s) +[2026-07-11 17:11:30] [START] rising_bubble/t04 +[2026-07-11 17:18:50] [DONE] rising_bubble/t04 (7m20s) +[2026-07-11 17:18:50] --- droplet_impact --- +[2026-07-11 17:18:50] [START] droplet_impact/t00 +[2026-07-11 17:43:40] [DONE] droplet_impact/t00 (24m50s) +[2026-07-11 17:43:40] [START] droplet_impact/t01 +[2026-07-11 19:32:24] [DONE] droplet_impact/t01 (108m44s) +[2026-07-11 19:32:24] [START] droplet_impact/t02 +[2026-07-11 21:43:13] ========================================= +[2026-07-11 21:43:14] 每类 5 case 快速验证 (t00-t04) +[2026-07-11 21:43:14] ========================================= +[2026-07-11 21:43:14] --- dam_break --- +[2026-07-11 21:43:14] [SKIP] dam_break/t00 — 已完成 +[2026-07-11 21:43:14] [SKIP] dam_break/t01 — 已完成 +[2026-07-11 21:43:14] [SKIP] dam_break/t02 — 已完成 +[2026-07-11 21:43:14] [SKIP] dam_break/t03 — 已完成 +[2026-07-11 21:43:14] [SKIP] dam_break/t04 — 已完成 +[2026-07-11 21:43:14] --- rising_bubble --- +[2026-07-11 21:43:14] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-11 21:43:14] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-11 21:43:14] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-11 21:43:14] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-11 21:43:14] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-11 21:43:14] --- droplet_impact --- +[2026-07-11 21:43:14] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-11 21:43:14] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-11 21:43:14] [START] droplet_impact/t02 +[2026-07-11 22:20:27] [DONE] droplet_impact/t02 (37m13s) +[2026-07-11 22:20:27] [START] droplet_impact/t03 +[2026-07-11 22:33:10] ========================================= +[2026-07-11 22:33:10] 每类 5 case 快速验证 (t00-t04) +[2026-07-11 22:33:10] ========================================= +[2026-07-11 22:33:10] --- dam_break --- +[2026-07-11 22:33:10] [SKIP] dam_break/t00 — 已完成 +[2026-07-11 22:33:10] [SKIP] dam_break/t01 — 已完成 +[2026-07-11 22:33:10] [SKIP] dam_break/t02 — 已完成 +[2026-07-11 22:33:10] [SKIP] dam_break/t03 — 已完成 +[2026-07-11 22:33:10] [SKIP] dam_break/t04 — 已完成 +[2026-07-11 22:33:10] --- rising_bubble --- +[2026-07-11 22:33:10] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-11 22:33:10] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-11 22:33:10] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-11 22:33:10] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-11 22:33:10] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-11 22:33:10] --- droplet_impact --- +[2026-07-11 22:33:10] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-11 22:33:10] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-11 22:33:10] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-11 22:33:10] [START] droplet_impact/t03 +[2026-07-11 22:47:22] ========================================= +[2026-07-11 22:47:22] 每类 5 case 快速验证 (t00-t04) +[2026-07-11 22:47:22] ========================================= +[2026-07-11 22:47:22] --- dam_break --- +[2026-07-11 22:47:22] [SKIP] dam_break/t00 — 已完成 +[2026-07-11 22:47:22] [SKIP] dam_break/t01 — 已完成 +[2026-07-11 22:47:22] [SKIP] dam_break/t02 — 已完成 +[2026-07-11 22:47:23] [SKIP] dam_break/t03 — 已完成 +[2026-07-11 22:47:23] [SKIP] dam_break/t04 — 已完成 +[2026-07-11 22:47:23] --- rising_bubble --- +[2026-07-11 22:47:23] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-11 22:47:23] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-11 22:47:23] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-11 22:47:23] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-11 22:47:23] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-11 22:47:23] --- droplet_impact --- +[2026-07-11 22:47:23] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-11 22:47:23] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-11 22:47:23] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-11 22:47:23] [START] droplet_impact/t03 +[2026-07-11 23:11:57] ========================================= +[2026-07-11 23:11:57] 每类 5 case 快速验证 (t00-t04) +[2026-07-11 23:11:57] ========================================= +[2026-07-11 23:11:57] --- dam_break --- +[2026-07-11 23:11:57] [SKIP] dam_break/t00 — 已完成 +[2026-07-11 23:11:57] [SKIP] dam_break/t01 — 已完成 +[2026-07-11 23:11:57] [SKIP] dam_break/t02 — 已完成 +[2026-07-11 23:11:57] [SKIP] dam_break/t03 — 已完成 +[2026-07-11 23:11:57] [SKIP] dam_break/t04 — 已完成 +[2026-07-11 23:11:57] --- rising_bubble --- +[2026-07-11 23:11:57] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-11 23:11:57] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-11 23:11:57] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-11 23:11:57] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-11 23:11:57] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-11 23:11:57] --- droplet_impact --- +[2026-07-11 23:11:57] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-11 23:11:57] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-11 23:11:57] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-11 23:11:57] [START] droplet_impact/t03 +[2026-07-12 00:14:09] ========================================= +[2026-07-12 00:14:09] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 00:14:09] ========================================= +[2026-07-12 00:14:09] --- dam_break --- +[2026-07-12 00:14:09] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 00:14:09] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 00:14:09] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 00:14:09] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 00:14:09] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 00:14:09] --- rising_bubble --- +[2026-07-12 00:14:09] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 00:14:09] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 00:14:10] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 00:14:10] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 00:14:10] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 00:14:10] --- droplet_impact --- +[2026-07-12 00:14:10] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 00:14:10] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 00:14:10] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 00:14:10] [START] droplet_impact/t03 +[2026-07-12 00:29:39] [DONE] droplet_impact/t03 (15m29s) +[2026-07-12 00:29:39] [START] droplet_impact/t04 +[2026-07-12 03:10:47] ========================================= +[2026-07-12 03:10:47] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 03:10:47] ========================================= +[2026-07-12 03:10:47] --- dam_break --- +[2026-07-12 03:10:47] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 03:10:47] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 03:10:47] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 03:10:47] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 03:10:47] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 03:10:47] --- rising_bubble --- +[2026-07-12 03:10:47] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 03:10:47] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 03:10:47] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 03:10:47] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 03:10:47] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 03:10:47] --- droplet_impact --- +[2026-07-12 03:10:47] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 03:10:47] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 03:10:47] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 03:10:47] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 03:10:47] [RESUME] droplet_impact/t04 — 从 processor0/0.008 续跑 +[2026-07-12 05:10:39] ========================================= +[2026-07-12 05:10:39] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 05:10:39] ========================================= +[2026-07-12 05:10:39] --- dam_break --- +[2026-07-12 05:10:39] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 05:10:39] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 05:10:39] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 05:10:39] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 05:10:39] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 05:10:39] --- rising_bubble --- +[2026-07-12 05:10:39] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 05:10:39] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 05:10:39] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 05:10:39] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 05:10:39] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 05:10:39] --- droplet_impact --- +[2026-07-12 05:10:39] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 05:10:39] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 05:10:39] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 05:10:39] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 05:10:39] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 06:10:49] ========================================= +[2026-07-12 06:10:49] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 06:10:49] ========================================= +[2026-07-12 06:10:49] --- dam_break --- +[2026-07-12 06:10:49] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 06:10:49] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 06:10:49] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 06:10:49] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 06:10:49] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 06:10:49] --- rising_bubble --- +[2026-07-12 06:10:49] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 06:10:49] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 06:10:49] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 06:10:49] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 06:10:49] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 06:10:49] --- droplet_impact --- +[2026-07-12 06:10:49] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 06:10:49] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 06:10:49] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 06:10:49] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 06:10:49] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 07:10:35] ========================================= +[2026-07-12 07:10:35] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 07:10:35] ========================================= +[2026-07-12 07:10:35] --- dam_break --- +[2026-07-12 07:10:35] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 07:10:35] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 07:10:35] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 07:10:35] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 07:10:35] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 07:10:35] --- rising_bubble --- +[2026-07-12 07:10:35] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 07:10:35] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 07:10:35] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 07:10:35] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 07:10:35] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 07:10:35] --- droplet_impact --- +[2026-07-12 07:10:35] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 07:10:35] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 07:10:35] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 07:10:35] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 07:10:35] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 08:10:45] ========================================= +[2026-07-12 08:10:45] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 08:10:45] ========================================= +[2026-07-12 08:10:45] --- dam_break --- +[2026-07-12 08:10:45] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 08:10:45] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 08:10:45] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 08:10:45] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 08:10:45] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 08:10:45] --- rising_bubble --- +[2026-07-12 08:10:45] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 08:10:45] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 08:10:45] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 08:10:45] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 08:10:45] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 08:10:45] --- droplet_impact --- +[2026-07-12 08:10:45] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 08:10:45] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 08:10:45] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 08:10:46] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 08:10:46] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 09:10:31] ========================================= +[2026-07-12 09:10:31] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 09:10:31] ========================================= +[2026-07-12 09:10:31] --- dam_break --- +[2026-07-12 09:10:31] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 09:10:31] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 09:10:31] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 09:10:31] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 09:10:31] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 09:10:31] --- rising_bubble --- +[2026-07-12 09:10:31] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 09:10:31] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 09:10:31] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 09:10:31] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 09:10:31] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 09:10:31] --- droplet_impact --- +[2026-07-12 09:10:31] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 09:10:31] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 09:10:31] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 09:10:31] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 09:10:31] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 09:48:51] ========================================= +[2026-07-12 09:48:51] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 09:48:51] ========================================= +[2026-07-12 09:48:51] --- dam_break --- +[2026-07-12 09:48:51] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 09:48:51] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 09:48:51] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 09:48:51] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 09:48:51] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 09:48:51] --- rising_bubble --- +[2026-07-12 09:48:51] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 09:48:51] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 09:48:51] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 09:48:51] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 09:48:51] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 09:48:51] --- droplet_impact --- +[2026-07-12 09:48:51] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 09:48:51] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 09:48:51] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 09:48:51] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 09:48:51] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:04:23] ========================================= +[2026-07-12 10:04:23] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:04:23] ========================================= +[2026-07-12 10:04:23] --- dam_break --- +[2026-07-12 10:04:23] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:04:23] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:04:23] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:04:23] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:04:23] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:04:23] --- rising_bubble --- +[2026-07-12 10:04:23] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:04:23] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:04:23] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:04:23] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:04:23] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:04:23] --- droplet_impact --- +[2026-07-12 10:04:23] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:04:23] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:04:23] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:04:23] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:04:23] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:10:32] ========================================= +[2026-07-12 10:10:32] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:10:32] ========================================= +[2026-07-12 10:10:32] --- dam_break --- +[2026-07-12 10:10:32] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:10:32] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:10:32] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:10:32] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:10:32] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:10:32] --- rising_bubble --- +[2026-07-12 10:10:32] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:10:32] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:10:32] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:10:32] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:10:32] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:10:32] --- droplet_impact --- +[2026-07-12 10:10:32] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:10:32] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:10:32] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:10:32] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:10:32] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:16:16] ========================================= +[2026-07-12 10:16:16] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:16:16] ========================================= +[2026-07-12 10:16:16] --- dam_break --- +[2026-07-12 10:16:16] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:16:16] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:16:16] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:16:16] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:16:16] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:16:16] --- rising_bubble --- +[2026-07-12 10:16:16] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:16:16] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:16:16] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:16:16] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:16:16] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:16:16] --- droplet_impact --- +[2026-07-12 10:16:16] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:16:16] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:16:16] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:16:16] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:16:16] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:20:56] ========================================= +[2026-07-12 10:20:56] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:20:56] ========================================= +[2026-07-12 10:20:56] --- dam_break --- +[2026-07-12 10:20:56] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:20:56] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:20:56] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:20:56] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:20:56] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:20:56] --- rising_bubble --- +[2026-07-12 10:20:56] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:20:56] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:20:56] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:20:56] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:20:56] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:20:56] --- droplet_impact --- +[2026-07-12 10:20:56] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:20:56] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:20:56] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:20:56] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:20:56] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:24:24] ========================================= +[2026-07-12 10:24:24] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:24:24] ========================================= +[2026-07-12 10:24:24] --- dam_break --- +[2026-07-12 10:24:25] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:24:25] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:24:25] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:24:25] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:24:25] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:24:25] --- rising_bubble --- +[2026-07-12 10:24:25] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:24:25] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:24:25] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:24:25] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:24:25] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:24:25] --- droplet_impact --- +[2026-07-12 10:24:25] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:24:25] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:24:25] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:24:25] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:24:25] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:36:02] ========================================= +[2026-07-12 10:36:02] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:36:02] ========================================= +[2026-07-12 10:36:02] --- dam_break --- +[2026-07-12 10:36:02] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:36:02] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:36:02] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:36:02] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:36:02] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:36:02] --- rising_bubble --- +[2026-07-12 10:36:02] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:36:02] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:36:02] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:36:02] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:36:02] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:36:02] --- droplet_impact --- +[2026-07-12 10:36:02] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:36:02] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:36:02] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:36:02] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:36:02] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:40:02] ========================================= +[2026-07-12 10:40:02] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:40:02] ========================================= +[2026-07-12 10:40:02] --- dam_break --- +[2026-07-12 10:40:02] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:40:02] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:40:02] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:40:02] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:40:02] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:40:02] --- rising_bubble --- +[2026-07-12 10:40:02] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:40:02] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:40:02] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:40:02] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:40:02] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:40:02] --- droplet_impact --- +[2026-07-12 10:40:02] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:40:02] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:40:02] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:40:02] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:40:02] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 10:59:44] ========================================= +[2026-07-12 10:59:44] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 10:59:44] ========================================= +[2026-07-12 10:59:44] --- dam_break --- +[2026-07-12 10:59:44] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 10:59:44] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 10:59:44] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 10:59:44] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 10:59:44] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 10:59:44] --- rising_bubble --- +[2026-07-12 10:59:44] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 10:59:44] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 10:59:44] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 10:59:44] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 10:59:44] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 10:59:44] --- droplet_impact --- +[2026-07-12 10:59:44] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 10:59:44] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 10:59:44] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 10:59:44] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 10:59:45] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 11:10:30] ========================================= +[2026-07-12 11:10:30] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 11:10:30] ========================================= +[2026-07-12 11:10:30] --- dam_break --- +[2026-07-12 11:10:30] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 11:10:30] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 11:10:30] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 11:10:30] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 11:10:30] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 11:10:30] --- rising_bubble --- +[2026-07-12 11:10:30] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 11:10:30] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 11:10:30] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 11:10:30] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 11:10:30] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 11:10:30] --- droplet_impact --- +[2026-07-12 11:10:30] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 11:10:30] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 11:10:30] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 11:10:30] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 11:10:30] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 12:14:18] ========================================= +[2026-07-12 12:14:18] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 12:14:18] ========================================= +[2026-07-12 12:14:18] --- dam_break --- +[2026-07-12 12:14:19] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 12:14:19] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 12:14:19] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 12:14:19] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 12:14:19] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 12:14:19] --- rising_bubble --- +[2026-07-12 12:14:19] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 12:14:19] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 12:14:19] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 12:14:19] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 12:14:19] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 12:14:19] --- droplet_impact --- +[2026-07-12 12:14:19] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 12:14:19] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 12:14:19] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 12:14:19] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 12:14:19] [RESUME] droplet_impact/t04 — 从 processor0/0.024 续跑 +[2026-07-12 23:55:24] ========================================= +[2026-07-12 23:55:24] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 23:55:24] ========================================= +[2026-07-12 23:55:24] --- dam_break --- +[2026-07-12 23:55:24] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 23:55:24] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 23:55:24] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 23:55:24] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 23:55:24] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 23:55:24] --- rising_bubble --- +[2026-07-12 23:55:24] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 23:55:24] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 23:55:24] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 23:55:24] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 23:55:24] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 23:55:24] --- droplet_impact --- +[2026-07-12 23:55:24] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 23:55:24] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 23:55:24] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 23:55:24] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 23:55:24] [SKIP] droplet_impact/t04 — 已完成 +[2026-07-12 23:55:25] --- stokes_wave --- +[2026-07-12 23:55:25] [START] stokes_wave/t00 +[2026-07-12 23:55:37] [FAIL] stokes_wave/t00 — interFoam 未完成 (0m12s) +[2026-07-12 23:55:37] [START] stokes_wave/t01 +[2026-07-12 23:55:47] [FAIL] stokes_wave/t01 — interFoam 未完成 (0m10s) +[2026-07-12 23:55:47] [START] stokes_wave/t02 +[2026-07-12 23:55:57] [FAIL] stokes_wave/t02 — interFoam 未完成 (0m10s) +[2026-07-12 23:55:57] [START] stokes_wave/t03 +[2026-07-12 23:56:07] [FAIL] stokes_wave/t03 — interFoam 未完成 (0m10s) +[2026-07-12 23:56:07] [START] stokes_wave/t04 +[2026-07-12 23:56:16] [FAIL] stokes_wave/t04 — interFoam 未完成 (0m9s) +[2026-07-12 23:56:16] ========================================= +[2026-07-12 23:56:16] 全部完成（每类 5 case） +[2026-07-12 23:56:16] ========================================= +[2026-07-12 23:57:36] ========================================= +[2026-07-12 23:57:36] 每类 5 case 快速验证 (t00-t04) +[2026-07-12 23:57:36] ========================================= +[2026-07-12 23:57:36] --- dam_break --- +[2026-07-12 23:57:36] [SKIP] dam_break/t00 — 已完成 +[2026-07-12 23:57:36] [SKIP] dam_break/t01 — 已完成 +[2026-07-12 23:57:36] [SKIP] dam_break/t02 — 已完成 +[2026-07-12 23:57:36] [SKIP] dam_break/t03 — 已完成 +[2026-07-12 23:57:36] [SKIP] dam_break/t04 — 已完成 +[2026-07-12 23:57:36] --- rising_bubble --- +[2026-07-12 23:57:36] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-12 23:57:36] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-12 23:57:36] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-12 23:57:36] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-12 23:57:36] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-12 23:57:36] --- droplet_impact --- +[2026-07-12 23:57:36] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-12 23:57:36] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-12 23:57:36] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-12 23:57:36] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-12 23:57:36] [SKIP] droplet_impact/t04 — 已完成 +[2026-07-12 23:57:36] --- stokes_wave --- +[2026-07-12 23:57:36] [RESUME] stokes_wave/t00 — 从 processor0/0 续跑 +[2026-07-12 23:57:37] [FAIL] stokes_wave/t00 — interFoam 未完成 (0m1s) +[2026-07-12 23:57:37] [RESUME] stokes_wave/t01 — 从 processor0/0 续跑 +[2026-07-12 23:57:37] [FAIL] stokes_wave/t01 — interFoam 未完成 (0m0s) +[2026-07-12 23:57:37] [RESUME] stokes_wave/t02 — 从 processor0/0 续跑 +[2026-07-12 23:57:38] [FAIL] stokes_wave/t02 — interFoam 未完成 (0m1s) +[2026-07-12 23:57:38] [RESUME] stokes_wave/t03 — 从 processor0/0 续跑 +[2026-07-12 23:57:39] [FAIL] stokes_wave/t03 — interFoam 未完成 (0m1s) +[2026-07-12 23:57:39] [RESUME] stokes_wave/t04 — 从 processor0/0 续跑 +[2026-07-12 23:57:39] [FAIL] stokes_wave/t04 — interFoam 未完成 (0m0s) +[2026-07-12 23:57:39] ========================================= +[2026-07-12 23:57:39] 全部完成（每类 5 case） +[2026-07-12 23:57:39] ========================================= +[2026-07-13 01:12:11] ========================================= +[2026-07-13 01:12:11] 每类 5 case 快速验证 (t00-t04) +[2026-07-13 01:12:11] ========================================= +[2026-07-13 01:12:11] --- dam_break --- +[2026-07-13 01:12:11] [SKIP] dam_break/t00 — 已完成 +[2026-07-13 01:12:11] [SKIP] dam_break/t01 — 已完成 +[2026-07-13 01:12:11] [SKIP] dam_break/t02 — 已完成 +[2026-07-13 01:12:11] [SKIP] dam_break/t03 — 已完成 +[2026-07-13 01:12:11] [SKIP] dam_break/t04 — 已完成 +[2026-07-13 01:12:11] --- rising_bubble --- +[2026-07-13 01:12:11] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-13 01:12:11] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-13 01:12:11] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-13 01:12:11] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-13 01:12:11] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-13 01:12:11] --- droplet_impact --- +[2026-07-13 01:12:11] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-13 01:12:11] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-13 01:12:11] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-13 01:12:12] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-13 01:12:12] [SKIP] droplet_impact/t04 — 已完成 +[2026-07-13 01:12:12] --- stokes_wave --- +[2026-07-13 01:12:12] [RESUME] stokes_wave/t00 — 从 processor0/0 续跑 +[2026-07-13 01:12:18] [FAIL] stokes_wave/t00 — interFoam 未完成 (0m6s) +[2026-07-13 01:12:18] [RESUME] stokes_wave/t01 — 从 processor0/0 续跑 +[2026-07-13 01:12:19] [FAIL] stokes_wave/t01 — interFoam 未完成 (0m1s) +[2026-07-13 01:12:19] [RESUME] stokes_wave/t02 — 从 processor0/0 续跑 +[2026-07-13 01:12:20] [FAIL] stokes_wave/t02 — interFoam 未完成 (0m1s) +[2026-07-13 01:12:20] [RESUME] stokes_wave/t03 — 从 processor0/0 续跑 +[2026-07-13 01:12:20] [FAIL] stokes_wave/t03 — interFoam 未完成 (0m0s) +[2026-07-13 01:12:21] [RESUME] stokes_wave/t04 — 从 processor0/0 续跑 +[2026-07-13 01:12:21] [FAIL] stokes_wave/t04 — interFoam 未完成 (0m0s) +[2026-07-13 01:12:21] ========================================= +[2026-07-13 01:12:21] 全部完成（每类 5 case） +[2026-07-13 01:12:21] ========================================= +[2026-07-13 01:19:28] ========================================= +[2026-07-13 01:19:29] 每类 5 case 快速验证 (t00-t04) +[2026-07-13 01:19:29] ========================================= +[2026-07-13 01:19:29] --- dam_break --- +[2026-07-13 01:19:29] [SKIP] dam_break/t00 — 已完成 +[2026-07-13 01:19:29] [SKIP] dam_break/t01 — 已完成 +[2026-07-13 01:19:29] [SKIP] dam_break/t02 — 已完成 +[2026-07-13 01:19:29] [SKIP] dam_break/t03 — 已完成 +[2026-07-13 01:19:29] [SKIP] dam_break/t04 — 已完成 +[2026-07-13 01:19:29] --- rising_bubble --- +[2026-07-13 01:19:29] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-13 01:19:29] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-13 01:19:29] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-13 01:19:29] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-13 01:19:29] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-13 01:19:29] --- droplet_impact --- +[2026-07-13 01:19:29] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-13 01:19:29] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-13 01:19:29] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-13 01:19:29] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-13 01:19:29] [SKIP] droplet_impact/t04 — 已完成 +[2026-07-13 01:19:29] --- stokes_wave --- +[2026-07-13 01:19:29] [START] stokes_wave/t00 +[2026-07-13 01:19:34] [FAIL] stokes_wave/t00 — blockMesh 失败 +[2026-07-13 01:19:34] [START] stokes_wave/t01 +[2026-07-13 01:19:35] [FAIL] stokes_wave/t01 — blockMesh 失败 +[2026-07-13 01:19:35] [START] stokes_wave/t02 +[2026-07-13 01:19:35] [FAIL] stokes_wave/t02 — blockMesh 失败 +[2026-07-13 01:19:35] [START] stokes_wave/t03 +[2026-07-13 01:19:35] [FAIL] stokes_wave/t03 — blockMesh 失败 +[2026-07-13 01:19:35] [START] stokes_wave/t04 +[2026-07-13 01:19:35] [FAIL] stokes_wave/t04 — blockMesh 失败 +[2026-07-13 01:19:35] ========================================= +[2026-07-13 01:19:35] 全部完成（每类 5 case） +[2026-07-13 01:19:35] ========================================= +[2026-07-13 01:22:12] ========================================= +[2026-07-13 01:22:12] 每类 5 case 快速验证 (t00-t04) +[2026-07-13 01:22:12] ========================================= +[2026-07-13 01:22:12] --- dam_break --- +[2026-07-13 01:22:12] [SKIP] dam_break/t00 — 已完成 +[2026-07-13 01:22:12] [SKIP] dam_break/t01 — 已完成 +[2026-07-13 01:22:12] [SKIP] dam_break/t02 — 已完成 +[2026-07-13 01:22:12] [SKIP] dam_break/t03 — 已完成 +[2026-07-13 01:22:12] [SKIP] dam_break/t04 — 已完成 +[2026-07-13 01:22:12] --- rising_bubble --- +[2026-07-13 01:22:12] [SKIP] rising_bubble/t00 — 已完成 +[2026-07-13 01:22:12] [SKIP] rising_bubble/t01 — 已完成 +[2026-07-13 01:22:12] [SKIP] rising_bubble/t02 — 已完成 +[2026-07-13 01:22:12] [SKIP] rising_bubble/t03 — 已完成 +[2026-07-13 01:22:12] [SKIP] rising_bubble/t04 — 已完成 +[2026-07-13 01:22:12] --- droplet_impact --- +[2026-07-13 01:22:12] [SKIP] droplet_impact/t00 — 已完成 +[2026-07-13 01:22:12] [SKIP] droplet_impact/t01 — 已完成 +[2026-07-13 01:22:12] [SKIP] droplet_impact/t02 — 已完成 +[2026-07-13 01:22:12] [SKIP] droplet_impact/t03 — 已完成 +[2026-07-13 01:22:12] [SKIP] droplet_impact/t04 — 已完成 +[2026-07-13 01:22:12] --- stokes_wave --- +[2026-07-13 01:22:12] [START] stokes_wave/t00 +[2026-07-13 01:29:14] [DONE] stokes_wave/t00 (7m2s) +[2026-07-13 01:29:14] [START] stokes_wave/t01 +[2026-07-13 01:36:57] [DONE] stokes_wave/t01 (7m43s) +[2026-07-13 01:36:57] [START] stokes_wave/t02 +[2026-07-13 01:44:09] [DONE] stokes_wave/t02 (7m12s) +[2026-07-13 01:44:09] [START] stokes_wave/t03 +[2026-07-13 01:51:24] [DONE] stokes_wave/t03 (7m15s) +[2026-07-13 01:51:24] [START] stokes_wave/t04 +[2026-07-13 01:59:34] [DONE] stokes_wave/t04 (8m10s) +[2026-07-13 01:59:34] ========================================= +[2026-07-13 01:59:34] 全部完成（每类 5 case） +[2026-07-13 01:59:34] ========================================= diff --git a/scripts/run_5per_type.sh b/scripts/run_5per_type.sh new file mode 100644 index 0000000000000000000000000000000000000000..28c4e319bcd11fe08bd8d90eb0160b9912773155 --- /dev/null +++ b/scripts/run_5per_type.sh @@ -0,0 +1,106 @@ +#!/bin/bash +# run_all_50.sh — 全部 50 case 重跑（含断点续跑） + +SCRIPTS="/mnt/f/agent-workspace/paper2/Exp/data/scripts" +DATA_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw" +NCPU=16 +LOG="$SCRIPTS/run_all_50.log" + +source /usr/share/openfoam/etc/bashrc 2>/dev/null +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib/openfoam +export PATH=$FOAM_APPBIN:$PATH +export LD_LIBRARY_PATH=$FOAM_LIBBIN${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH} + +log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG"; } + +check_completed() { + local log_file="$1/log.interFoam" + [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End" +} + +run_case() { + local CASE_DIR="$1" + local CASE_NAME="$2" + + if check_completed "$CASE_DIR"; then + log "[SKIP] $CASE_NAME — 已完成" + return 0 + fi + + CASE_START=$(date +%s) + cd "$CASE_DIR" || return 1 + + # 检查是否有 processor 目录含有效时间步数据（断点续跑） + HAS_CHECKPOINT=false + if [ -d "processor0" ]; then + LATEST_T=$(ls processor0/ 2>/dev/null | grep -E '^[0-9]' | sort -n | tail -1) + if [ -n "$LATEST_T" ] && [ "$LATEST_T" != "0" ]; then + HAS_CHECKPOINT=true + # 修改 controlDict 从 checkpoint 时间继续 + sed -i "s/startFrom.*/startFrom latestTime;/" system/controlDict + log "[RESUME] $CASE_NAME — 从 processor0/$LATEST_T 续跑" + fi + fi + + if [ "$HAS_CHECKPOINT" = false ]; then + log "[START] $CASE_NAME" + rm -rf processor* + + # 确保从 startTime=0 开始 + sed -i "s/startFrom.*/startFrom startTime;/" system/controlDict + + blockMesh > log.blockMesh 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — blockMesh 失败" + return 1 + fi + + NX=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print(n if n*n==$NCPU else $NCPU)") + NY=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print($NCPU//n)") + sed -i "s/numberOfSubdomains [0-9]*/numberOfSubdomains $NCPU/" system/decomposeParDict + sed -i "s/n\s*( *[0-9]* *[0-9]* *[0-9]*)/n ($NX $NY 1)/" system/decomposeParDict + decomposePar -force > log.decomposePar 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — decomposePar 失败" + return 1 + fi + fi + + mpirun --oversubscribe -np "$NCPU" interFoam -parallel > log.interFoam 2>&1 + + reconstructPar > log.reconstructPar 2>&1 + + CASE_END=$(date +%s) + CASE_ELAPSED=$((CASE_END - CASE_START)) + CASE_MINS=$((CASE_ELAPSED / 60)) + CASE_SECS=$((CASE_ELAPSED % 60)) + + if check_completed "$CASE_DIR"; then + log "[DONE] $CASE_NAME (${CASE_MINS}m${CASE_SECS}s)" + else + log "[FAIL] $CASE_NAME — interFoam 未完成 (${CASE_MINS}m${CASE_SECS}s)" + fi +} + +log "=========================================" +log " 全部 50 case 重跑（修复 writeInterval + 断点续跑）" +log "=========================================" + +for CT in dam_break rising_bubble droplet_impact stokes_wave; do + log "--- $CT ---" + for IDX in $(seq 0 49); do + CASE_NAME=$(printf "t%02d" $IDX) + CASE_DIR="$DATA_DIR/$CT/$CASE_NAME" + if [ ! -d "$CASE_DIR" ]; then + log "[WARN] $CT/$CASE_NAME — 目录不存在，跳过" + continue + fi + run_case "$CASE_DIR" "$CT/$CASE_NAME" + done +done + +log "=========================================" +log " 全部完成（每类 5 case）" +log "=========================================" diff --git a/scripts/run_5per_wrapper.bat b/scripts/run_5per_wrapper.bat new file mode 100644 index 0000000000000000000000000000000000000000..735421be0e8c563931a53448f7c4024c4f42f4ee --- /dev/null +++ b/scripts/run_5per_wrapper.bat @@ -0,0 +1,3 @@ +@echo off +REM run_5per_wrapper.bat — 在 WSL 中以 nohup 方式运行仿真 +wsl -d Ubuntu-20.04 bash -c "nohup bash /mnt/f/agent-workspace/paper2/Exp/data/scripts/run_5per_type.sh > /mnt/f/agent-workspace/paper2/Exp/data/scripts/run_5per_nohup.log 2>&1 &" diff --git a/scripts/run_all_50.log b/scripts/run_all_50.log new file mode 100644 index 0000000000000000000000000000000000000000..2115727d2aaa202420afbad5f0c903b5e09444b0 --- /dev/null +++ b/scripts/run_all_50.log @@ -0,0 +1,10 @@ +[2026-07-13 12:37:19] ========================================= +[2026-07-13 12:37:19] 全部 50 case 重跑（修复 writeInterval + 断点续跑） +[2026-07-13 12:37:19] ========================================= +[2026-07-13 12:37:19] --- dam_break --- +[2026-07-13 12:37:19] [SKIP] dam_break/t00 — 已完成 +[2026-07-13 12:37:19] [SKIP] dam_break/t01 — 已完成 +[2026-07-13 12:37:19] [SKIP] dam_break/t02 — 已完成 +[2026-07-13 12:37:19] [SKIP] dam_break/t03 — 已完成 +[2026-07-13 12:37:19] [SKIP] dam_break/t04 — 已完成 +[2026-07-13 12:37:19] [START] dam_break/t05 diff --git a/scripts/run_all_loops.log b/scripts/run_all_loops.log new file mode 100644 index 0000000000000000000000000000000000000000..c1346315645bcf6e75fab32332cdf209c4dd5335 --- /dev/null +++ b/scripts/run_all_loops.log @@ -0,0 +1,8 @@ +[2026-07-11 11:36:24] ========================================= +[2026-07-11 11:36:24] 全部案例重跑（修复 writeInterval） +[2026-07-11 11:36:24] ========================================= +[2026-07-11 11:36:24] --- 开始: run_dam_break_loop.sh --- +[2026-07-11 12:51:45] ========================================= +[2026-07-11 12:51:55] 全部案例重跑（修复 writeInterval） +[2026-07-11 12:51:55] ========================================= +[2026-07-11 12:51:55] --- 开始: run_dam_break_loop.sh --- diff --git a/scripts/run_all_loops.sh b/scripts/run_all_loops.sh new file mode 100644 index 0000000000000000000000000000000000000000..01c572c32608b01548233206dfd2412793665b1f --- /dev/null +++ b/scripts/run_all_loops.sh @@ -0,0 +1,22 @@ +#!/bin/bash +# run_all_loops.sh — 顺序运行 4 类 case 的批量仿真 +# 每类用 16 MPI 进程，顺序执行避免资源冲突 + +SCRIPTS="/mnt/f/agent-workspace/paper2/Exp/data/scripts" +LOG="$SCRIPTS/run_all_loops.log" + +log() { echo "[$(date '+%Y-%m-%d %H:%M:%S')] $*" | tee -a "$LOG"; } + +log "=========================================" +log " 全部案例重跑（修复 writeInterval）" +log "=========================================" + +for SCRIPT in run_dam_break_loop.sh run_rising_bubble_loop.sh run_droplet_loop.sh run_stokes_loop.sh; do + log "--- 开始: $SCRIPT ---" + bash "$SCRIPTS/$SCRIPT" 2>&1 + log "--- 完成: $SCRIPT ---" +done + +log "=========================================" +log " 全部重跑完成" +log "=========================================" diff --git a/scripts/run_case.sh b/scripts/run_case.sh new file mode 100644 index 0000000000000000000000000000000000000000..dd459a6f5bafd1cff563988b40aa3d18ac34665c --- /dev/null +++ b/scripts/run_case.sh @@ -0,0 +1,38 @@ +#!/bin/bash +# run_case.sh — 运行单个 OpenFOAM interFoam case +# 用法: bash run_case.sh [n_procs] +# 参数: +# case_dir — OpenFOAM case 根目录（包含 0/, constant/, system/, Allrun） +# n_procs — MPI 并行进程数（默认 4） +# +# 流程: blockMesh → decomposePar → mpirun interFoam → reconstructPar +# 错误检查: 每步检查返回码，失败立即退出 + +# 注意: 不使用 set -e，由调用方根据返回码判断成功/失败 +set -uo pipefail + +CASE_DIR="${1:?用法: bash run_case.sh [n_procs]}" +N_PROCS="${2:-4}" + +# 验证 case 目录存在且包含必要文件 +for f in Allrun constant/transportProperties system/blockMeshDict; do + if [ ! -f "$CASE_DIR/$f" ]; then + echo "ERROR: 缺少必要文件 $CASE_DIR/$f" + exit 1 + fi +done + +echo "==========================================" +echo "运行 case: $CASE_DIR" +echo "并行进程数: $N_PROCS" +echo "==========================================" + +cd "$CASE_DIR" + +# Allrun 脚本处理 blockMesh → decomposePar → interFoam → reconstructPar +# 使用 ./Allrun 而非 bash Allrun，确保 ${0%/*} 正确解析为当前目录 +./Allrun "$N_PROCS" + +echo "==========================================" +echo "case 完成: $CASE_DIR" +echo "==========================================" diff --git a/scripts/run_dam_break_loop.sh b/scripts/run_dam_break_loop.sh new file mode 100644 index 0000000000000000000000000000000000000000..6f81abe13b12b30f2651ca8eddba3526b1b9a087 --- /dev/null +++ b/scripts/run_dam_break_loop.sh @@ -0,0 +1,93 @@ +#!/bin/bash +# run_dam_break_loop.sh — 逐个运行 dam_break case（t00-t49） + +source /usr/share/openfoam/etc/bashrc 2>/dev/null +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib/openfoam +export PATH=$FOAM_APPBIN:$PATH +export LD_LIBRARY_PATH=$FOAM_LIBBIN${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH} + +DATA_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw" +CASE_TYPE="dam_break" +NCPU=16 +LOG="/mnt/f/agent-workspace/paper2/Exp/data/scripts/loop_dam_break.log" + +log() { + local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*" + echo "$msg" + echo "$msg" >> "$LOG" +} + +check_completed() { + local log_file="$1/log.interFoam" + [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End" +} + +log "=========================================" +log " dam_break 循环运行 (t00-t49)" +log " MPI: $NCPU" +log "=========================================" + +for IDX in $(seq 0 49); do + CASE_NAME=$(printf "t%02d" $IDX) + CASE_DIR="$DATA_DIR/$CASE_TYPE/$CASE_NAME" + + if [ ! -d "$CASE_DIR" ]; then + log "[WARN] $CASE_NAME — 目录不存在，跳过" + continue + fi + + if check_completed "$CASE_DIR"; then + log "[SKIP] $CASE_NAME — 已完成" + continue + fi + + CASE_START=$(date +%s) + log "[START] $CASE_NAME" + + cd "$CASE_DIR" || continue + + # 清理旧 processor 目录和旧时间步（保留 0/ 和 constant/ 和 system/） + rm -rf processor* + + # blockMesh + blockMesh > log.blockMesh 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — blockMesh 失败" + continue + fi + + # decomposePar + NX=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print(n if n*n==$NCPU else $NCPU)") + NY=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print($NCPU//n)") + sed -i "s/numberOfSubdomains [0-9]*/numberOfSubdomains $NCPU/" system/decomposeParDict + sed -i "s/n\s*( *[0-9]* *[0-9]* *[0-9]*)/n ($NX $NY 1)/" system/decomposeParDict + decomposePar -force > log.decomposePar 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — decomposePar 失败" + continue + fi + + # interFoam + mpirun --oversubscribe -np "$NCPU" interFoam -parallel > log.interFoam 2>&1 + INTERFOAM_EXIT=$? + + # reconstructPar（重建所有时间步） + reconstructPar > log.reconstructPar 2>&1 + + CASE_END=$(date +%s) + CASE_ELAPSED=$((CASE_END - CASE_START)) + CASE_MINS=$((CASE_ELAPSED / 60)) + CASE_SECS=$((CASE_ELAPSED % 60)) + + if check_completed "$CASE_DIR"; then + log "[DONE] $CASE_NAME (${CASE_MINS}m${CASE_SECS}s)" + else + log "[FAIL] $CASE_NAME — interFoam 未完成 (${CASE_MINS}m${CASE_SECS}s)" + fi +done + +log "=========================================" +log " dam_break 全部完成" +log "=========================================" diff --git a/scripts/run_droplet_loop.sh b/scripts/run_droplet_loop.sh new file mode 100644 index 0000000000000000000000000000000000000000..517f4375d019ee2ff81c66639b5a0489589f3c86 --- /dev/null +++ b/scripts/run_droplet_loop.sh @@ -0,0 +1,93 @@ +#!/bin/bash +# run_droplet_loop.sh — 逐个运行 droplet_impact case + +source /usr/share/openfoam/etc/bashrc 2>/dev/null +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib/openfoam +export PATH=$FOAM_APPBIN:$PATH +export LD_LIBRARY_PATH=$FOAM_LIBBIN${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH} + +DATA_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw" +CASE_TYPE="droplet_impact" +NCPU=16 +LOG="/mnt/f/agent-workspace/paper2/Exp/data/scripts/loop_droplet.log" + +log() { + local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*" + echo "$msg" + echo "$msg" >> "$LOG" +} + +check_completed() { + local log_file="$1/log.interFoam" + [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End" +} + +log "=========================================" +log " droplet_impact 循环运行 (t01-t49)" +log " MPI: $NCPU" +log "=========================================" + +for IDX in $(seq 1 49); do + CASE_NAME=$(printf "t%02d" $IDX) + CASE_DIR="$DATA_DIR/$CASE_TYPE/$CASE_NAME" + + if [ ! -d "$CASE_DIR" ]; then + log "[WARN] $CASE_NAME — 目录不存在，跳过" + continue + fi + + if check_completed "$CASE_DIR"; then + log "[SKIP] $CASE_NAME — 已完成" + continue + fi + + CASE_START=$(date +%s) + log "[START] $CASE_NAME" + + cd "$CASE_DIR" || continue + + # 清理旧 processor 目录 + rm -rf processor* + + # blockMesh + blockMesh > log.blockMesh 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — blockMesh 失败" + continue + fi + + # decomposePar + NX=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print(n if n*n==$NCPU else $NCPU)") + NY=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print($NCPU//n)") + sed -i "s/numberOfSubdomains [0-9]*/numberOfSubdomains $NCPU/" system/decomposeParDict + sed -i "s/n\s*( *[0-9]* *[0-9]* *[0-9]*)/n ($NX $NY 1)/" system/decomposeParDict + decomposePar -force > log.decomposePar 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — decomposePar 失败" + continue + fi + + # interFoam + mpirun --oversubscribe -np "$NCPU" interFoam -parallel > log.interFoam 2>&1 + INTERFOAM_EXIT=$? + + # reconstructPar（重建所有时间步，不用 -latestTime） + reconstructPar > log.reconstructPar 2>&1 + + CASE_END=$(date +%s) + CASE_ELAPSED=$((CASE_END - CASE_START)) + CASE_MINS=$((CASE_ELAPSED / 60)) + CASE_SECS=$((CASE_ELAPSED % 60)) + + if check_completed "$CASE_DIR"; then + log "[DONE] $CASE_NAME (${CASE_MINS}m${CASE_SECS}s)" + else + log "[FAIL] $CASE_NAME — interFoam 未完成 (${CASE_MINS}m${CASE_SECS}s)" + fi +done + +log "=========================================" +log " droplet_impact 全部完成" +log "=========================================" diff --git a/scripts/run_openfoam.sh b/scripts/run_openfoam.sh new file mode 100644 index 0000000000000000000000000000000000000000..8c9320d79e386709c44840fa5fdca5008dcaeb79 --- /dev/null +++ b/scripts/run_openfoam.sh @@ -0,0 +1,13 @@ +#!/bin/bash +# Run OpenFOAM simulation +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_SRC=/usr/share/openfoam/src +export FOAM_APP=/usr/share/openfoam/applications +export FOAM_LIBBIN=/usr/lib/openfoam/lib +export FOAM_USER_LIBBIN=/usr/lib/openfoam/lib +export FOAM_APPBIN=/usr/bin +export PATH=/usr/bin:$PATH +export LD_LIBRARY_PATH=/usr/lib/openfoam/lib:$LD_LIBRARY_PATH + +cd $1 +/usr/bin/interFoam > log.interFoam 2>&1 diff --git a/scripts/run_openfoam_full.sh b/scripts/run_openfoam_full.sh new file mode 100644 index 0000000000000000000000000000000000000000..ab65cc44396a259ac9f691ef8eb00dc0d5bae32e --- /dev/null +++ b/scripts/run_openfoam_full.sh @@ -0,0 +1,15 @@ +#!/bin/bash +# Run complete OpenFOAM simulation +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_SRC=/usr/share/openfoam/src +export FOAM_APP=/usr/share/openfoam/applications +export FOAM_LIBBIN=/usr/lib/openfoam/lib +export FOAM_USER_LIBBIN=/usr/lib/openfoam/lib +export FOAM_APPBIN=/usr/bin +export PATH=/usr/bin:$PATH +export LD_LIBRARY_PATH=/usr/lib/openfoam/lib:$LD_LIBRARY_PATH + +cd $1 +blockMesh +setFields +/usr/bin/interFoam > log.interFoam 2>&1 diff --git a/scripts/run_parallel.sh b/scripts/run_parallel.sh new file mode 100644 index 0000000000000000000000000000000000000000..05dbc76b9de9724333e878e5ef65d5498efb0f72 --- /dev/null +++ b/scripts/run_parallel.sh @@ -0,0 +1,149 @@ +#!/bin/bash +# run_parallel.sh — 通用并行运行 OpenFOAM case +# 用法: bash run_parallel.sh [n_parallel] [n_procs_per_case] +# 参数: +# cases_dir — 包含 t00/, t01/, ... 子目录的 case 根目录 +# n_parallel — 并行运行的 case 数（默认 8） +# n_procs_per_case — 每个 case 的 MPI 进程数（默认 4） +# +# 示例: +# bash run_parallel.sh /home/alanz/openfoam-workspace/output/data/rising_bubble 8 4 +# bash run_parallel.sh /home/alanz/openfoam-workspace/output/data/dam_break 4 1 +# bash run_parallel.sh /home/alanz/openfoam-workspace/output/data/droplet_impact 8 4 + +set -o pipefail + +CASES_DIR="${1:?用法: bash run_parallel.sh [n_parallel] [n_procs_per_case]}" +N_PARALLEL="${2:-8}" +N_PROCS="${3:-4}" +SCRIPTS_DIR="$(cd "$(dirname "$0")" && pwd)" +LOG_DIR="$CASES_DIR/batch_logs" + +mkdir -p "$LOG_DIR" + +# 发现所有 case 目录 +CASE_DIRS=() +for d in "$CASES_DIR"/t[0-9]*; do + [ -d "$d" ] && [ -f "$d/Allrun" ] && CASE_DIRS+=("$d") +done + +TOTAL=${#CASE_DIRS[@]} +CASE_TYPE=$(basename "$CASES_DIR") +echo "=== $CASE_TYPE 并行运行 ===" +echo "总 case 数: $TOTAL" +echo "并行数: $N_PARALLEL" +echo "每 case MPI 进程: $N_PROCS" +echo "开始时间: $(date)" +echo "" + +if [ "$TOTAL" -eq 0 ]; then + echo "WARNING: 未发现任何 case 目录（含 Allrun），检查 $CASES_DIR" + exit 0 +fi + +SUCCESS=0 +FAILED=0 + +# 追踪后台进程（索引数组，兼容 set -u） +RUN_PIDS=() +RUN_CASES=() + +run_case() { + local case_dir="$1" + local case_name + case_name=$(basename "$case_dir") + local log_file="$LOG_DIR/${case_name}.log" + + echo "[$(date +%H:%M:%S)] 启动: $case_name" + bash "$SCRIPTS_DIR/run_case.sh" "$case_dir" "$N_PROCS" > "$log_file" 2>&1 + return $? +} + +cleanup() { + echo "" + echo "收到终止信号，等待正在运行的 case 完成..." + for pid in "${RUN_PIDS[@]+"${RUN_PIDS[@]}"}"; do + wait "$pid" 2>/dev/null + done + echo "所有进程已结束" + exit 0 +} +trap cleanup SIGINT SIGTERM + +reap_finished() { + local active_pids=() + local active_cases=() + for j in "${!RUN_PIDS[@]}"; do + local pid="${RUN_PIDS[$j]}" + if ! kill -0 "$pid" 2>/dev/null; then + wait "$pid" + local exit_code=$? + local finished_case="${RUN_CASES[$j]}" + if [ "$exit_code" -eq 0 ]; then + echo "[$(date +%H:%M:%S)] 完成: $finished_case" + SUCCESS=$((SUCCESS + 1)) + else + echo "[$(date +%H:%M:%S)] FAILED: $finished_case (exit=$exit_code)" + FAILED=$((FAILED + 1)) + fi + else + active_pids+=("$pid") + active_cases+=("${RUN_CASES[$j]}") + fi + done + RUN_PIDS=("${active_pids[@]+"${active_pids[@]}"}") + RUN_CASES=("${active_cases[@]+"${active_cases[@]}"}") +} + +for i in "${!CASE_DIRS[@]}"; do + case_dir="${CASE_DIRS[$i]}" + case_name=$(basename "$case_dir") + idx=$((i + 1)) + + # 等待直到有空闲 slot + while [ "${#RUN_PIDS[@]}" -ge "$N_PARALLEL" ]; do + reap_finished + [ "${#RUN_PIDS[@]}" -ge "$N_PARALLEL" ] && sleep 1 + done + + run_case "$case_dir" & + bg_pid=$! + RUN_PIDS+=("$bg_pid") + RUN_CASES+=("$case_name") + echo "[$(date +%H:%M:%S)] [$idx/$TOTAL] 已提交: $case_name (pid=$bg_pid)" +done + +# 等待所有剩余进程 +echo "" +echo "所有 case 已提交，等待完成..." +for j in "${!RUN_PIDS[@]}"; do + pid="${RUN_PIDS[$j]}" + wait "$pid" + exit_code=$? + finished_case="${RUN_CASES[$j]}" + if [ "$exit_code" -eq 0 ]; then + echo "[$(date +%H:%M:%S)] 完成: $finished_case" + SUCCESS=$((SUCCESS + 1)) + else + echo "[$(date +%H:%M:%S)] FAILED: $finished_case (exit=$exit_code)" + FAILED=$((FAILED + 1)) + fi +done + +echo "" +echo "=== $CASE_TYPE 批量运行完成 ===" +echo "总计: $TOTAL, 成功: $SUCCESS, 失败: $FAILED" +echo "结束时间: $(date)" +echo "日志目录: $LOG_DIR" + +if [ "$FAILED" -gt 0 ]; then + echo "" + echo "失败 case 列表:" + for log in "$LOG_DIR"/*.log; do + [ -f "$log" ] || continue + case_name=$(basename "$log" .log) + if grep -q "ERROR" "$log" 2>/dev/null; then + echo " $case_name" + fi + done +fi diff --git a/scripts/run_postprocess_all.sh b/scripts/run_postprocess_all.sh new file mode 100644 index 0000000000000000000000000000000000000000..a6938daa593d1215fd9b727e6778ba8bae1037a7 --- /dev/null +++ b/scripts/run_postprocess_all.sh @@ -0,0 +1,15 @@ +#!/bin/bash +# run_postprocess_all.sh — HDF5 后处理所有已完成的 case +# 使用 paper1 conda 环境（含 numpy、h5py） +PYTHON="/home/alanz/miniconda3/envs/paper1/bin/python3" + +SCRIPTS="/mnt/f/agent-workspace/paper2/Exp/data/scripts" +RAW="/mnt/f/agent-workspace/paper2/Exp/data/raw" +OUT="/mnt/f/agent-workspace/paper2/Exp/data/processed" +LOG="$SCRIPTS/postprocess_all.log" + +echo "[$(date)] Starting HDF5 postprocessing (python=$PYTHON)..." > "$LOG" + +$PYTHON "$SCRIPTS/postprocess_to_hdf5.py" --input "$RAW" --output "$OUT" >> "$LOG" 2>&1 + +echo "[$(date)] Done. Exit: $?" >> "$LOG" diff --git a/scripts/run_recon_db.sh b/scripts/run_recon_db.sh new file mode 100644 index 0000000000000000000000000000000000000000..367dbdb9b3016abc49d128399329fe1dea115aaf --- /dev/null +++ b/scripts/run_recon_db.sh @@ -0,0 +1,10 @@ +#!/bin/bash +source /usr/share/openfoam/etc/bashrc 2>/dev/null +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib/openfoam +cd /mnt/f/agent-workspace/paper2/Exp/data/raw/dam_break/t00 +for t in 0 0.5 1 1.5 2; do + reconstructPar -time $t > /dev/null 2>&1 + echo "t=$t exit=$?" +done diff --git a/scripts/run_remaining_final.sh b/scripts/run_remaining_final.sh new file mode 100644 index 0000000000000000000000000000000000000000..c699baa25f272e00204aef5f5aed08b1fd783b6a --- /dev/null +++ b/scripts/run_remaining_final.sh @@ -0,0 +1,153 @@ +#!/bin/bash +# ============================================================ +# run_remaining_final.sh — 恢复中断的 OpenFOAM 数据生成 +# +# 功能： +# 1. 扫描 output/data/*,t*/ 找出未完成的 case +# （log.interFoam 不存在或不包含 "End"） +# 2. 清理旧 log，重新运行 blockMesh + interFoam +# 3. 8 路 xargs 并行 +# 4. 结果写入 batch_log.txt +# +# 用法： +# bash run_remaining_final.sh [N_JOBS] +# 默认 N_JOBS=8 +# ============================================================ + +# ---- OpenFOAM 环境初始化 ---- +# WSL 重启后环境变量丢失，需要显式设置 +# Ubuntu apt 包安装路径: 二进制 /usr/bin, 配置 /usr/share/openfoam/etc +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib/openfoam +export FOAM_ETC=/usr/share/openfoam/etc +export FOAM_APP=/usr/share/openfoam/applications +export FOAM_SRC=/usr/share/openfoam/src +export FOAM_SOLVERS=/usr/share/openfoam/applications/solvers +export FOAM_UTILITIES=/usr/share/openfoam/applications/utilities +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_USER_LIBBIN="${HOME}/OpenFOAM/${USER}-v1906/platforms/linux64GccDPInt32Opt/lib" +export FOAM_USER_APPBIN="${HOME}/OpenFOAM/${USER}-v1906/platforms/linux64GccDPInt32Opt/bin" + +if ! command -v blockMesh &>/dev/null || ! command -v interFoam &>/dev/null; then + echo "[ERROR] 找不到 blockMesh/interFoam，请确认 OpenFOAM 已安装" + exit 1 +fi +echo "[INFO] OpenFOAM 环境就绪: FOAM_ETC=${FOAM_ETC}" + +BASE_DIR="/home/alanz/openfoam-workspace/output/data" +SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)" +BATCH_LOG="${SCRIPT_DIR}/batch_log.txt" +CASE_LIST="${SCRIPT_DIR}/.pending_cases.txt" +N_JOBS="${1:-8}" + +# 导出给 xargs 子进程使用 +export BATCH_LOG + +echo "========================================" | tee "$BATCH_LOG" +echo " OpenFOAM 批量恢复 — $(date '+%Y-%m-%d %H:%M:%S')" | tee -a "$BATCH_LOG" +echo "========================================" | tee -a "$BATCH_LOG" + +# ---- 第一步：扫描未完成的 case ---- +echo "[SCAN] 正在扫描 ${BASE_DIR} ..." | tee -a "$BATCH_LOG" +> "$CASE_LIST" + +total=0 +done_count=0 +todo_count=0 + +for cat_dir in "${BASE_DIR}"/*/; do + [ -d "$cat_dir" ] || continue + cat_name=$(basename "$cat_dir") + + for case_dir in "${cat_dir}"t*/; do + [ -d "$case_dir" ] || continue + case_name=$(basename "$case_dir") + total=$((total + 1)) + + log_file="${case_dir}log.interFoam" + if [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End"; then + done_count=$((done_count + 1)) + else + echo "${case_dir}" >> "$CASE_LIST" + todo_count=$((todo_count + 1)) + fi + done +done + +echo "[SCAN] 总计: ${total} | 已完成: ${done_count} | 待运行: ${todo_count}" | tee -a "$BATCH_LOG" +echo "[SCAN] 并行数: ${N_JOBS}" | tee -a "$BATCH_LOG" + +if [ "$todo_count" -eq 0 ]; then + echo "[OK] 所有 case 均已完成，无需操作。" | tee -a "$BATCH_LOG" + exit 0 +fi + +echo "" | tee -a "$BATCH_LOG" +echo "[RUN] 开始运行..." | tee -a "$BATCH_LOG" + +# ---- 第二步：定义单个 case 的运行函数 ---- +run_case() { + local case_dir="$1" + local case_name + case_name=$(basename "$case_dir") + local cat_name + cat_name=$(basename "$(dirname "$case_dir")") + local label="${cat_name}/${case_name}" + local ts + ts=$(date '+%H:%M:%S') + + # 清理旧 log + rm -f "${case_dir}log.blockMesh" "${case_dir}log.interFoam" + + # blockMesh + if ! (cd "$case_dir" && blockMesh > log.blockMesh 2>&1); then + echo "[FAIL] ${label} — blockMesh 失败 (${ts})" | tee -a "$BATCH_LOG" + return 0 # 不中断 xargs，继续处理下一个 + fi + + # interFoam + if ! (cd "$case_dir" && interFoam > log.interFoam 2>&1); then + echo "[FAIL] ${label} — interFoam 失败 (${ts})" | tee -a "$BATCH_LOG" + return 0 + fi + + # 验证完成标记 + if tail -3 "${case_dir}log.interFoam" | grep -q "End"; then + echo "[DONE] ${label} (${ts})" | tee -a "$BATCH_LOG" + else + echo "[FAIL] ${label} — 未检测到 End 标记 (${ts})" | tee -a "$BATCH_LOG" + fi + return 0 +} +export -f run_case + +# ---- 第三步：xargs 并行执行 ---- +cat "$CASE_LIST" | xargs -P "$N_JOBS" -I {} bash -c 'run_case "$@"' _ {} + +# ---- 第四步：最终统计 ---- +echo "" | tee -a "$BATCH_LOG" +echo "========================================" | tee -a "$BATCH_LOG" +echo " 最终统计 — $(date '+%Y-%m-%d %H:%M:%S')" | tee -a "$BATCH_LOG" +echo "========================================" | tee -a "$BATCH_LOG" + +final_done=0 +final_fail=0 + +while IFS= read -r case_dir; do + [ -d "$case_dir" ] || continue + if [ -f "${case_dir}log.interFoam" ] && tail -3 "${case_dir}log.interFoam" | grep -q "End"; then + final_done=$((final_done + 1)) + else + final_fail=$((final_fail + 1)) + cat_name=$(basename "$(dirname "$case_dir")") + case_name=$(basename "$case_dir") + echo "[STILL-FAIL] ${cat_name}/${case_name}" | tee -a "$BATCH_LOG" + fi +done < "$CASE_LIST" + +echo "本轮完成: ${final_done} | 仍失败: ${final_fail}" | tee -a "$BATCH_LOG" +echo "全部完成: $((done_count + final_done)) / ${total}" | tee -a "$BATCH_LOG" +echo "========================================" | tee -a "$BATCH_LOG" + +# 清理临时文件 +rm -f "$CASE_LIST" diff --git a/scripts/run_rising_bubble_loop.sh b/scripts/run_rising_bubble_loop.sh new file mode 100644 index 0000000000000000000000000000000000000000..9a0a22d000cf549dff8f139ba104ef89c5d055e0 --- /dev/null +++ b/scripts/run_rising_bubble_loop.sh @@ -0,0 +1,93 @@ +#!/bin/bash +# run_rising_bubble_loop.sh — 逐个运行 rising_bubble case（t00-t49） + +source /usr/share/openfoam/etc/bashrc 2>/dev/null +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib/openfoam +export PATH=$FOAM_APPBIN:$PATH +export LD_LIBRARY_PATH=$FOAM_LIBBIN${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH} + +DATA_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw" +CASE_TYPE="rising_bubble" +NCPU=16 +LOG="/mnt/f/agent-workspace/paper2/Exp/data/scripts/loop_rising_bubble.log" + +log() { + local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*" + echo "$msg" + echo "$msg" >> "$LOG" +} + +check_completed() { + local log_file="$1/log.interFoam" + [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End" +} + +log "=========================================" +log " rising_bubble 循环运行 (t00-t49)" +log " MPI: $NCPU" +log "=========================================" + +for IDX in $(seq 0 49); do + CASE_NAME=$(printf "t%02d" $IDX) + CASE_DIR="$DATA_DIR/$CASE_TYPE/$CASE_NAME" + + if [ ! -d "$CASE_DIR" ]; then + log "[WARN] $CASE_NAME — 目录不存在，跳过" + continue + fi + + if check_completed "$CASE_DIR"; then + log "[SKIP] $CASE_NAME — 已完成" + continue + fi + + CASE_START=$(date +%s) + log "[START] $CASE_NAME" + + cd "$CASE_DIR" || continue + + # 清理旧 processor 目录 + rm -rf processor* + + # blockMesh + blockMesh > log.blockMesh 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — blockMesh 失败" + continue + fi + + # decomposePar + NX=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print(n if n*n==$NCPU else $NCPU)") + NY=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print($NCPU//n)") + sed -i "s/numberOfSubdomains [0-9]*/numberOfSubdomains $NCPU/" system/decomposeParDict + sed -i "s/n\s*( *[0-9]* *[0-9]* *[0-9]*)/n ($NX $NY 1)/" system/decomposeParDict + decomposePar -force > log.decomposePar 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — decomposePar 失败" + continue + fi + + # interFoam + mpirun --oversubscribe -np "$NCPU" interFoam -parallel > log.interFoam 2>&1 + INTERFOAM_EXIT=$? + + # reconstructPar（重建所有时间步） + reconstructPar > log.reconstructPar 2>&1 + + CASE_END=$(date +%s) + CASE_ELAPSED=$((CASE_END - CASE_START)) + CASE_MINS=$((CASE_ELAPSED / 60)) + CASE_SECS=$((CASE_ELAPSED % 60)) + + if check_completed "$CASE_DIR"; then + log "[DONE] $CASE_NAME (${CASE_MINS}m${CASE_SECS}s)" + else + log "[FAIL] $CASE_NAME — interFoam 未完成 (${CASE_MINS}m${CASE_SECS}s)" + fi +done + +log "=========================================" +log " rising_bubble 全部完成" +log "=========================================" diff --git a/scripts/run_robust.sh b/scripts/run_robust.sh new file mode 100644 index 0000000000000000000000000000000000000000..c6257e35625930f4556bcc20335e9975a987fa8e --- /dev/null +++ b/scripts/run_robust.sh @@ -0,0 +1,275 @@ +#!/bin/bash +# run_robust.sh — 全量运行 210 个 OpenFOAM case（3 case types x 70 trajs） +# +# 用法: nohup bash /home/alanz/openfoam-workspace/run_robust.sh > /home/alanz/openfoam-workspace/output/run_all.log 2>&1 & +# +# 配置: +# N_PARALLEL=3 — 并行运行 case 数 +# N_PROCS=4 — 每个 case 的 MPI 进程数（匹配 decomposeParDict numberOfSubdomains 4） +# 总计: 3 x 4 = 12 核（16 核机器留 4 核给系统） +# +# 流程: +# 1. 清理旧仿真数据（保留 0/ 初始条件） +# 2. 按 case type 顺序运行: dam_break → rising_bubble → droplet_impact +# 3. 每类内部并行（N_PARALLEL 路） +# 4. 记录统计和失败列表 + +set -o pipefail + +WORKSPACE="/home/alanz/openfoam-workspace" +OUTPUT="$WORKSPACE/output/data" +SCRIPTS="$WORKSPACE/scripts" +N_PARALLEL=3 +N_PROCS=4 + +# OpenFOAM 环境（如未加载） +if [ -z "$FOAM_ETC" ]; then + export WM_PROJECT=OpenFOAM + export WM_PROJECT_VERSION=v1906 + export WM_PROJECT_DIR=/usr/share/openfoam + export FOAM_ETC=/usr/share/openfoam/etc + export FOAM_APPBIN=/usr/bin + export FOAM_LIBBIN=/usr/lib + export PATH=$FOAM_APPBIN:$PATH + export LD_LIBRARY_PATH=$FOAM_LIBBIN:$LD_LIBRARY_PATH +fi + +# FPE 禁用库路径（仅用于 interFoam，不全局设置避免影响其他命令） +FPE_LIB="$SCRIPTS/lib_disable_fpe.so" + +echo "============================================================" +echo " OpenFOAM 全量运行 — run_robust.sh" +echo "============================================================" +echo " 输出目录: $OUTPUT" +echo " 并行数: $N_PARALLEL" +echo " 每 case MPI 进程: $N_PROCS (匹配 decomposeParDict)" +echo " 总核数: $((N_PARALLEL * N_PROCS)) / $(nproc)" +echo " 开始时间: $(date)" +echo "============================================================" + +TOTAL_SUCCESS=0 +TOTAL_FAILED=0 +GLOBAL_START=$(date +%s) + +for CASE_TYPE in dam_break rising_bubble droplet_impact; do + CASES_DIR="$OUTPUT/$CASE_TYPE" + LOG_DIR="$CASES_DIR/batch_logs" + + if [ ! -d "$CASES_DIR" ]; then + echo "" + echo "WARNING: $CASES_DIR 不存在，跳过" + continue + fi + + echo "" + echo "============================================================" + echo " 开始运行: $CASE_TYPE" + echo "============================================================" + + # 发现 case 目录 + CASE_DIRS=() + for d in "$CASES_DIR"/t[0-9]*; do + [ -d "$d" ] && [ -f "$d/Allrun" ] && CASE_DIRS+=("$d") + done + TOTAL=${#CASE_DIRS[@]} + + if [ "$TOTAL" -eq 0 ]; then + echo "WARNING: $CASE_TYPE 无 case 目录（含 Allrun），跳过" + continue + fi + + echo " Case 数: $TOTAL" + echo " 并行数: $N_PARALLEL" + echo " 每 case MPI: $N_PROCS" + + # 清理旧仿真数据（保留 0/ 初始条件） + CLEANED=0 + for case_dir in "$CASES_DIR"/t[0-9]*; do + [ -d "$case_dir" ] || continue + rm -f "$case_dir"/log.* + rm -rf "$case_dir"/processor* + rm -f "$case_dir"/done.marker + # 删除时间步目录（保留 0/） + for ts_dir in "$case_dir"/[0-9]*; do + ts_name=$(basename "$ts_dir") + [ "$ts_name" != "0" ] && rm -rf "$ts_dir" + done 2>/dev/null + CLEANED=$((CLEANED + 1)) + done + echo " 已清理 $CLEANED 个 case 的旧仿真数据" + + mkdir -p "$LOG_DIR" + + TYPE_SUCCESS=0 + TYPE_FAILED=0 + TYPE_START=$(date +%s) + + # 追踪后台进程 + RUN_PIDS=() + RUN_CASES=() + + run_case() { + local case_dir="$1" + local case_name + case_name=$(basename "$case_dir") + local log_file="$LOG_DIR/${case_name}.log" + + echo "[$(date +%H:%M:%S)] 启动: $case_name" >> "$log_file" + cd "$case_dir" + + # blockMesh + blockMesh >> "$log_file" 2>&1 + if [ $? -ne 0 ]; then + echo "ERROR: blockMesh failed" >> "$log_file" + return 1 + fi + + # decomposePar（并行模式） + if [ "$N_PROCS" -gt 1 ]; then + decomposePar -force >> "$log_file" 2>&1 + if [ $? -ne 0 ]; then + echo "ERROR: decomposePar failed" >> "$log_file" + return 1 + fi + + # interFoam 并行（通过 wrapper 禁用 FPE 捕获） + mpirun -np "$N_PROCS" env LD_PRELOAD="$FPE_LIB" interFoam -parallel >> "$log_file" 2>&1 + if [ $? -ne 0 ]; then + echo "ERROR: interFoam failed" >> "$log_file" + return 1 + fi + + # reconstructPar + reconstructPar >> "$log_file" 2>&1 + if [ $? -ne 0 ]; then + echo "WARNING: reconstructPar failed" >> "$log_file" + fi + else + # interFoam 串行（通过 wrapper 禁用 FPE 捕获） + LD_PRELOAD="$FPE_LIB" interFoam >> "$log_file" 2>&1 + if [ $? -ne 0 ]; then + echo "ERROR: interFoam failed" >> "$log_file" + return 1 + fi + fi + + # 标记完成 + touch "$case_dir/done.marker" + echo "[$(date +%H:%M:%S)] 完成: $case_name" >> "$log_file" + return 0 + } + + reap_finished() { + local active_pids=() + local active_cases=() + for j in "${!RUN_PIDS[@]}"; do + local pid="${RUN_PIDS[$j]}" + if ! kill -0 "$pid" 2>/dev/null; then + wait "$pid" + local exit_code=$? + local finished_case="${RUN_CASES[$j]}" + if [ "$exit_code" -eq 0 ]; then + echo "[$(date +%H:%M:%S)] 完成: $finished_case" + TYPE_SUCCESS=$((TYPE_SUCCESS + 1)) + else + echo "[$(date +%H:%M:%S)] FAILED: $finished_case (exit=$exit_code)" + TYPE_FAILED=$((TYPE_FAILED + 1)) + fi + else + active_pids+=("$pid") + active_cases+=("${RUN_CASES[$j]}") + fi + done + RUN_PIDS=("${active_pids[@]+"${active_pids[@]}"}") + RUN_CASES=("${active_cases[@]+"${active_cases[@]}"}") + } + + # 信号处理 + cleanup() { + echo "" + echo "收到终止信号，等待正在运行的 case 完成..." + for pid in "${RUN_PIDS[@]+"${RUN_PIDS[@]}"}"; do + wait "$pid" 2>/dev/null + done + echo "所有进程已结束" + exit 0 + } + trap cleanup SIGINT SIGTERM + + # 提交所有 case + for i in "${!CASE_DIRS[@]}"; do + case_dir="${CASE_DIRS[$i]}" + case_name=$(basename "$case_dir") + idx=$((i + 1)) + + # 等待直到有空闲 slot + while [ "${#RUN_PIDS[@]}" -ge "$N_PARALLEL" ]; do + reap_finished + [ "${#RUN_PIDS[@]}" -ge "$N_PARALLEL" ] && sleep 2 + done + + run_case "$case_dir" & + bg_pid=$! + RUN_PIDS+=("$bg_pid") + RUN_CASES+=("$case_name") + echo "[$(date +%H:%M:%S)] [$idx/$TOTAL] 已提交: $case_name (pid=$bg_pid)" + done + + # 等待所有剩余进程 + echo "" + echo "等待 $CASE_TYPE 所有 case 完成..." + for j in "${!RUN_PIDS[@]}"; do + pid="${RUN_PIDS[$j]}" + wait "$pid" + exit_code=$? + finished_case="${RUN_CASES[$j]}" + if [ "$exit_code" -eq 0 ]; then + echo "[$(date +%H:%M:%S)] 完成: $finished_case" + TYPE_SUCCESS=$((TYPE_SUCCESS + 1)) + else + echo "[$(date +%H:%M:%S)] FAILED: $finished_case (exit=$exit_code)" + TYPE_FAILED=$((TYPE_FAILED + 1)) + fi + done + + TYPE_END=$(date +%s) + TYPE_ELAPSED=$((TYPE_END - TYPE_START)) + TYPE_MINS=$((TYPE_ELAPSED / 60)) + + echo "" + echo "--- $CASE_TYPE 完成 ---" + echo " 成功: $TYPE_SUCCESS / $TOTAL" + echo " 失败: $TYPE_FAILED / $TOTAL" + echo " 耗时: ${TYPE_MINS} 分钟" + echo " 日志: $LOG_DIR" + + TOTAL_SUCCESS=$((TOTAL_SUCCESS + TYPE_SUCCESS)) + TOTAL_FAILED=$((TOTAL_FAILED + TYPE_FAILED)) + + # 打印失败列表 + if [ "$TYPE_FAILED" -gt 0 ]; then + echo " 失败 case:" + for log in "$LOG_DIR"/*.log; do + [ -f "$log" ] || continue + cn=$(basename "$log" .log) + if grep -q "^ERROR" "$log" 2>/dev/null; then + echo " $cn: $(grep '^ERROR' "$log" | head -1)" + fi + done + fi +done + +GLOBAL_END=$(date +%s) +GLOBAL_ELAPSED=$((GLOBAL_END - GLOBAL_START)) +GLOBAL_MINS=$((GLOBAL_ELAPSED / 60)) +GLOBAL_HOURS=$((GLOBAL_ELAPSED / 3600)) + +echo "" +echo "============================================================" +echo " 全量运行完成" +echo "============================================================" +echo " 总计成功: $TOTAL_SUCCESS / 210" +echo " 总计失败: $TOTAL_FAILED / 210" +echo " 总耗时: ${GLOBAL_MINS} 分钟 (~${GLOBAL_HOURS} 小时)" +echo " 结束时间: $(date)" +echo "============================================================" diff --git a/scripts/run_stokes_loop.sh b/scripts/run_stokes_loop.sh new file mode 100644 index 0000000000000000000000000000000000000000..58bf6f737b30d9a3765d85e5f6843d612b9b9733 --- /dev/null +++ b/scripts/run_stokes_loop.sh @@ -0,0 +1,103 @@ +#!/bin/bash +# run_stokes_loop.sh — 逐个运行 stokes_wave case，替代 batch_run.sh +# 每个 case 独立运行，完成后立即写日志，避免 batch_run.sh 卡住问题 + +source /usr/share/openfoam/etc/bashrc 2>/dev/null +export WM_PROJECT_DIR=/usr/share/openfoam +export FOAM_APPBIN=/usr/bin +export FOAM_LIBBIN=/usr/lib/openfoam +export PATH=$FOAM_APPBIN:$PATH +export LD_LIBRARY_PATH=$FOAM_LIBBIN${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH} + +DATA_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw" +CASE_TYPE="stokes_wave" +NCPU=16 +LOG="/mnt/f/agent-workspace/paper2/Exp/data/scripts/loop_stokes.log" + +log() { + local msg="[$(date '+%Y-%m-%d %H:%M:%S')] $*" + echo "$msg" + echo "$msg" >> "$LOG" +} + +check_completed() { + local log_file="$1/log.interFoam" + [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End" +} + +log "=========================================" +log " stokes_wave 循环运行 (t01-t49)" +log " MPI: $NCPU" +log "=========================================" + +for IDX in $(seq 1 49); do + CASE_NAME=$(printf "t%02d" $IDX) + CASE_DIR="$DATA_DIR/$CASE_TYPE/$CASE_NAME" + + if [ ! -d "$CASE_DIR" ]; then + log "[WARN] $CASE_NAME — 目录不存在，跳过" + continue + fi + + if check_completed "$CASE_DIR"; then + log "[SKIP] $CASE_NAME — 已完成" + continue + fi + + CASE_START=$(date +%s) + log "[START] $CASE_NAME" + + cd "$CASE_DIR" || continue + + # 清理旧 processor 目录 + rm -rf processor* + + # blockMesh + blockMesh > log.blockMesh 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — blockMesh 失败" + continue + fi + + # setFields (stokes_wave 需要) + setFields > log.setFields 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — setFields 失败" + continue + fi + + # decomposePar + NX=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print(n if n*n==$NCPU else $NCPU)") + NY=$(python3 -c "import math; n=int(math.sqrt($NCPU)); print($NCPU//n)") + sed -i "s/numberOfSubdomains [0-9]*/numberOfSubdomains $NCPU/" system/decomposeParDict + sed -i "s/n\s*( *[0-9]* *[0-9]* *[0-9]*)/n ($NX $NY 1)/" system/decomposeParDict + decomposePar -force > log.decomposePar 2>&1 + if [ $? -ne 0 ]; then + log "[FAIL] $CASE_NAME — decomposePar 失败" + continue + fi + + # interFoam + mpirun --oversubscribe -np "$NCPU" interFoam -parallel > log.interFoam 2>&1 + INTERFOAM_EXIT=$? + + # reconstructPar（重建所有时间步，不用 -latestTime） + reconstructPar > log.reconstructPar 2>&1 + + # 清理 processor + + CASE_END=$(date +%s) + CASE_ELAPSED=$((CASE_END - CASE_START)) + CASE_MINS=$((CASE_ELAPSED / 60)) + CASE_SECS=$((CASE_ELAPSED % 60)) + + if check_completed "$CASE_DIR"; then + log "[DONE] $CASE_NAME (${CASE_MINS}m${CASE_SECS}s)" + else + log "[FAIL] $CASE_NAME — interFoam 未完成 (${CASE_MINS}m${CASE_SECS}s)" + fi +done + +log "=========================================" +log " stokes_wave 全部完成" +log "=========================================" diff --git a/scripts/start_batch_daemon.sh b/scripts/start_batch_daemon.sh new file mode 100644 index 0000000000000000000000000000000000000000..980bc14e67c8473ff244bac1c1ef5f9329fb1f2f --- /dev/null +++ b/scripts/start_batch_daemon.sh @@ -0,0 +1,41 @@ +#!/bin/bash +# start_batch_daemon.sh — 启动批量仿真并脱离终端 +# 使用 setsid 完全脱离父进程 + +LOG="/mnt/f/agent-workspace/paper2/Exp/data/scripts/batch_run_daemon.log" + +# 使用 setsid 创建新会话，完全脱离终端 +exec setsid bash -c ' + exec > "'"$LOG"'" 2>&1 + + echo "=== 批量仿真启动 ===" + echo "时间: $(date)" + echo "PID: $$" + echo "SID: $(ps -o sid= -p $$)" + + cd /mnt/f/agent-workspace/paper2/Exp/data/scripts + + # 设置 OpenFOAM 环境 + if [ -f /usr/share/openfoam/etc/bashrc ]; then + source /usr/share/openfoam/etc/bashrc 2>/dev/null + fi + export WM_PROJECT_DIR="${WM_PROJECT_DIR:-/usr/share/openfoam}" + export FOAM_APPBIN="${FOAM_APPBIN:-/usr/bin}" + export FOAM_LIBBIN="${FOAM_LIBBIN:-/usr/lib/openfoam}" + export PATH="${FOAM_APPBIN}:${PATH}" + export LD_LIBRARY_PATH="${FOAM_LIBBIN}${LD_LIBRARY_PATH:+:$LD_LIBRARY_PATH}" + + echo "OpenFOAM 环境就绪: WM_PROJECT_DIR=$WM_PROJECT_DIR" + which blockMesh + which interFoam + + # 运行批量仿真（仅3个新case类型） + bash batch_run.sh \ + --case-types dam_break droplet_impact stokes_wave \ + --start 0 --end 69 \ + --ncpu 16 \ + --clean-processors + + echo "=== 批量仿真结束 ===" + echo "时间: $(date)" +' diff --git a/scripts/stokes_controlDict_template b/scripts/stokes_controlDict_template new file mode 100644 index 0000000000000000000000000000000000000000..eaa083566886fa66a7c28779d7bcacde43871451 --- /dev/null +++ b/scripts/stokes_controlDict_template @@ -0,0 +1,59 @@ +/*--------------------------------*- C++ -*----------------------------------*\ +| ========= | | +| \\ / F ield | OpenFOAM: The Open Source CFD Toolbox | +| \\ / O peration | Version: v1906 | +| \\ / A nd | Web: www.OpenFOAM.com | +| \\/ M anipulation | | +\*---------------------------------------------------------------------------*/ +FoamFile +{ + version 2.0; + format ascii; + class dictionary; + location "system"; + object controlDict; +} +// * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * * // + +application interFoam; + +startFrom startTime; + +startTime 0; + +stopAt endTime; + +endTime 20.0; + +deltaT 0.01; + +writeControl adjustableRunTime; + +writeInterval 0.8; // endTime/25 → 25 帧 + +purgeWrite 0; + +writeFormat ascii; + +writePrecision 6; + +writeCompression off; + +timeFormat general; + +timePrecision 6; + +runTimeModifiable yes; + +adjustTimeStep on; + +maxCo 0.65; + +maxAlphaCo 0.65; + +maxDeltaT 0.05; + +functions {}; + + +// ************************************************************************* // diff --git a/scripts/test_run_6cases.sh b/scripts/test_run_6cases.sh new file mode 100644 index 0000000000000000000000000000000000000000..7596025514c8ca51ea1e9b590d1fb1513ae66ba1 --- /dev/null +++ b/scripts/test_run_6cases.sh @@ -0,0 +1,98 @@ +#!/bin/bash +# test_run_6cases.sh — 生成并运行 6 个测试算例（每类 2 个） +# 运行在远程 WSL 中 + +# OpenFOAM v1906 环境（Ubuntu 包安装路径） +source /usr/share/openfoam/etc/bashrc + +WORKSPACE="/home/alanz/openfoam-workspace" +CASES_DIR="/mnt/f/agent-workspace/paper2/Exp/data/templates" +OUTPUT_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw" +SCRIPTS_DIR="$WORKSPACE/scripts" + +echo "=== 测试运行：6 个算例（每类 2 个）===" +echo "模板: $CASES_DIR" +echo "输出: $OUTPUT_DIR" +echo "时间: $(date)" + +# 清理旧数据 +rm -rf "$OUTPUT_DIR" +mkdir -p "$OUTPUT_DIR"/{dam_break,rising_bubble,droplet_impact} + +# Step 1: 生成初始条件（每类 2 个） +echo "" +echo "=== Step 1: 生成初始条件 ===" +cd "$WORKSPACE" +python3 "$SCRIPTS_DIR/gen_init_conditions.py" \ + --templates "$CASES_DIR" \ + --output "$OUTPUT_DIR" \ + --num-trajs 2 \ + --seed 42 + +# Step 2: 逐个运行 +echo "" +echo "=== Step 2: 运行算例 ===" + +run_case() { + local case_dir="$1" + local case_name="$2" + + if [ ! -d "$case_dir" ]; then + echo "ERROR: $case_dir 不存在" + return 1 + fi + + cd "$case_dir" + + # 生成网格（gen_init_conditions.py 已直接写入场文件，不需要 setFields） + echo " [$case_name] 生成网格..." + blockMesh > log.blockMesh 2>&1 + + if [ $? -ne 0 ]; then + echo " [$case_name] blockMesh 失败！查看 log.blockMesh" + return 0 + fi + + # 运行求解器（测试用单进程，避免 MPI 配置问题） + echo " [$case_name] 运行 interFoam ..." + interFoam > log.interFoam 2>&1 || echo " [$case_name] interFoam 崩溃（可能数值不稳定），继续..." + + # 检查是否完成 + local end_time=$(grep "^endTime" system/controlDict | awk '{print $2}' | tr -d ';') + local last_time=$(ls -d [0-9]* 2>/dev/null | sort -n | tail -1) + + if [ "$last_time" = "$end_time" ] || [ -n "$last_time" ]; then + echo " [$case_name] 完成 (最后时间步: $last_time)" + echo "DONE" > done.marker + else + echo " [$case_name] 可能未完成 (最后时间步: $last_time, 目标: $end_time)" + fi + + cd "$WORKSPACE" +} + +# 按类型运行 +for case_type in dam_break rising_bubble droplet_impact; do + echo "" + echo "--- $case_type ---" + case_output="$OUTPUT_DIR/$case_type" + + for traj_dir in "$case_output"/t*; do + [ -d "$traj_dir" ] || continue + traj_name=$(basename "$traj_dir") + run_case "$traj_dir" "${case_type}/${traj_name}" + done +done + +echo "" +echo "=== 全部完成 ===" +echo "完成时间: $(date)" + +# 检查结果 +echo "" +echo "=== 结果统计 ===" +for case_type in dam_break rising_bubble droplet_impact; do + count=$(ls -d "$OUTPUT_DIR/$case_type"/t*/done.marker 2>/dev/null | wc -l) + total=$(ls -d "$OUTPUT_DIR/$case_type"/t* 2>/dev/null | wc -l) + echo "$case_type: $count/$total 完成" +done diff --git a/scripts/upload_to_hf.py b/scripts/upload_to_hf.py new file mode 100644 index 0000000000000000000000000000000000000000..98d26187ef6becbb8773e3efd7d1c4bc79a5168e --- /dev/null +++ b/scripts/upload_to_hf.py @@ -0,0 +1,205 @@ +#!/usr/bin/env python3 +""" +Upload DiffVOF simulation data to HuggingFace dataset repository. + +Target: alanZee/diffvof-simulation-data +Data root: /mnt/f/agent-workspace/paper2/Exp/data/ + +Excludes: + - postProcessing/ directories (~40 GB stokes_wave line sampling) + - processor*/ directories (MPI parallel temp) + - __pycache__/ directories + - Large log files (only keeps log.interFoam and log.blockMesh) + +Strategy: + 1. Upload README.md + 2. Upload small dirs (templates, scripts, visualizations, processed) via upload_folder + 3. Upload raw/ case-type by case-type: + - Pass 1: upload_folder ignoring postProcessing, processor*, __pycache__, all log.* + - Pass 2: individually upload log.interFoam and log.blockMesh files +""" + +import os +import sys +import time +from pathlib import Path +from huggingface_hub import HfApi, create_repo + +REPO_ID = "AlanZee/diffvof-simulation-data" +DATA_ROOT = Path("/mnt/f/agent-workspace/paper2/Exp/data") + +# Log files to keep (uploaded separately in pass 2 for raw/) +KEEP_LOG_NAMES = ("log.interFoam", "log.blockMesh") + +# Common ignore patterns for upload_folder (gitignore-style) +COMMON_IGNORE = [ + "postProcessing", + "**/postProcessing", + "postProcessing/**", + "**/postProcessing/**", + "processor*", + "**/processor*", + "processor*/**", + "**/processor*/**", + "__pycache__", + "**/__pycache__", + "__pycache__/**", + "**/__pycache__/**", +] + +# Additional ignore for log files (used during bulk upload) +LOG_IGNORE = [ + "log.*", + "**/log.*", + "*/log.*", + "*/*/log.*", + "*/*/*/log.*", +] + + +def find_keep_logs(root: Path) -> list: + """Find all log.interFoam and log.blockMesh files under root.""" + result = [] + for f in root.rglob("log.*"): + if f.name in KEEP_LOG_NAMES: + result.append(f) + return result + + +def upload_small_dir(api: HfApi, folder: Path, path_in_repo: str): + """Upload a small directory (templates, scripts, etc.) with standard exclusions.""" + if not folder.exists(): + print(f" SKIP: {folder} does not exist") + return + + ignore = COMMON_IGNORE + LOG_IGNORE + print(f" Uploading {folder.name}/ -> {path_in_repo}/") + t0 = time.time() + try: + api.upload_folder( + repo_id=REPO_ID, + repo_type="dataset", + folder_path=str(folder), + path_in_repo=path_in_repo, + ignore_patterns=ignore, + ) + elapsed = time.time() - t0 + print(f" Done ({elapsed:.0f}s)") + except Exception as e: + print(f" ERROR: {e}") + + +def upload_raw(api: HfApi, raw_dir: Path, path_in_repo: str): + """Upload raw/ directory case-type by case-type with log filtering.""" + if not raw_dir.exists(): + print(f" SKIP: {raw_dir} does not exist") + return + + t0_total = time.time() + + # Upload manifest.yaml if present + manifest = raw_dir / "manifest.yaml" + if manifest.exists(): + print(f" Uploading manifest.yaml") + api.upload_file( + repo_id=REPO_ID, + repo_type="dataset", + path_or_fileobj=str(manifest), + path_in_repo=f"{path_in_repo}/manifest.yaml", + ) + + # Process each case type + case_dirs = sorted([d for d in raw_dir.iterdir() if d.is_dir()]) + for case_dir in case_dirs: + case_name = case_dir.name + print(f"\n --- {case_name}/ ---") + + # Pass 1: bulk upload ignoring postProcessing, processor*, __pycache__, all log.* + ignore = COMMON_IGNORE + LOG_IGNORE + print(f" Pass 1: bulk upload (ignoring excluded dirs + all log.*)") + t0 = time.time() + try: + api.upload_folder( + repo_id=REPO_ID, + repo_type="dataset", + folder_path=str(case_dir), + path_in_repo=f"{path_in_repo}/{case_name}", + ignore_patterns=ignore, + ) + elapsed = time.time() - t0 + print(f" Pass 1 done ({elapsed:.0f}s)") + except Exception as e: + print(f" Pass 1 ERROR: {e}") + continue + + # Pass 2: upload kept log files individually + print(f" Pass 2: uploading log.interFoam and log.blockMesh files") + kept_logs = find_keep_logs(case_dir) + uploaded = 0 + errors = 0 + for log_file in kept_logs: + # Compute path relative to raw_dir's parent (so it goes under raw/{case_name}/...) + rel_from_case = log_file.relative_to(case_dir) + repo_path = f"{path_in_repo}/{case_name}/{rel_from_case}" + try: + api.upload_file( + repo_id=REPO_ID, + repo_type="dataset", + path_or_fileobj=str(log_file), + path_in_repo=repo_path, + ) + uploaded += 1 + except Exception as e: + errors += 1 + print(f" ERROR: {repo_path}: {e}") + + print(f" Pass 2 done: {uploaded} logs uploaded, {errors} errors") + + elapsed_total = time.time() - t0_total + print(f"\n raw/ upload complete ({elapsed_total:.0f}s total)") + + +def main(): + api = HfApi() + + # Step 1: Create repo if not exists + print(f"=== Ensuring repo {REPO_ID} exists ===") + try: + create_repo(REPO_ID, repo_type="dataset", exist_ok=True) + print(f" Repo {REPO_ID} ready.") + except Exception as e: + print(f" ERROR creating repo: {e}") + sys.exit(1) + + # Step 2: Upload README.md + readme = DATA_ROOT / "README.md" + if readme.exists(): + print(f"\n=== Uploading README.md ===") + try: + api.upload_file( + repo_id=REPO_ID, + repo_type="dataset", + path_or_fileobj=str(readme), + path_in_repo="README.md", + ) + print(" Done.") + except Exception as e: + print(f" ERROR: {e}") + + # Step 3: Upload small directories + for d in ("templates", "scripts", "visualizations", "processed"): + folder = DATA_ROOT / d + print(f"\n=== Uploading {d}/ ===") + upload_small_dir(api, folder, d) + + # Step 4: Upload raw/ + print(f"\n=== Uploading raw/ ===") + upload_raw(api, DATA_ROOT / "raw", "raw") + + print(f"\n{'='*50}") + print(f"All uploads complete.") + print(f"Dataset URL: https://huggingface.co/datasets/{REPO_ID}") + + +if __name__ == "__main__": + main() diff --git a/scripts/validate_init.sh b/scripts/validate_init.sh new file mode 100644 index 0000000000000000000000000000000000000000..c8acdf9869aa02bd9af9d0e94e4f653ef1cdf524 --- /dev/null +++ b/scripts/validate_init.sh @@ -0,0 +1,113 @@ +#!/bin/bash +# validate_init_conditions.py — 验证生成的初始条件是否正确 +# 用法: bash validate_init.sh + +OUTPUT_DIR="${1:-/home/alanz/openfoam-workspace/output/data}" + +echo "=============================================" +echo " 初始条件验证" +echo "=============================================" +echo "" + +for CASE_TYPE in dam_break rising_bubble droplet_impact; do + echo "=== $CASE_TYPE ===" + CASES_DIR="$OUTPUT_DIR/$CASE_TYPE" + if [ ! -d "$CASES_DIR" ]; then + echo " 目录不存在: $CASES_DIR" + continue + fi + + OK=0 + FAIL=0 + for case_dir in "$CASES_DIR"/t[0-9]*; do + [ -d "$case_dir" ] || continue + case_name=$(basename "$case_dir") + alpha_file="$case_dir/0/alpha.water" + + if [ ! -f "$alpha_file" ]; then + echo " $case_name: FAIL - alpha.water 不存在" + FAIL=$((FAIL + 1)) + continue + fi + + # 检查是否有 nonuniform 数据 + if ! grep -q "nonuniform" "$alpha_file"; then + echo " $case_name: FAIL - alpha.water 为 uniform（模板默认值）" + FAIL=$((FAIL + 1)) + continue + fi + + # 提取网格数 + cell_count=$(grep -A1 "nonuniform" "$alpha_file" | tail -1) + + # 提取值统计 + stats=$(python3 -c " +import sys +vals = [] +in_data = False +with open(sys.argv[1]) as f: + for line in f: + s = line.strip() + if 'nonuniform' in s: + in_data = True + continue + if in_data and s.startswith('('): + continue + if in_data and s == ')': + break + if in_data: + try: + vals.append(float(s)) + except: + pass +n_zero = sum(1 for v in vals if v == 0.0) +n_nonzero = sum(1 for v in vals if v != 0.0) +n_one = sum(1 for v in vals if v == 1.0) +print(f'{len(vals)} {n_zero} {n_nonzero} {n_one}') +" "$alpha_file" 2>/dev/null) + + if [ -z "$stats" ]; then + echo " $case_name: FAIL - 无法解析 alpha 值" + FAIL=$((FAIL + 1)) + continue + fi + + total=$(echo "$stats" | awk '{print $1}') + zeros=$(echo "$stats" | awk '{print $2}') + nonzeros=$(echo "$stats" | awk '{print $3}') + ones=$(echo "$stats" | awk '{print $4}') + + # 检查 U 文件 + u_file="$case_dir/0/U" + u_nonuniform="N/A" + if [ -f "$u_file" ]; then + if grep -q "nonuniform" "$u_file"; then + u_nonuniform="nonuniform" + else + u_nonuniform="uniform" + fi + fi + + echo " $case_name: OK | cells=$total zeros=$zeros nonzeros=$nonzeros ones=$ones U=$u_nonuniform" + OK=$((OK + 1)) + done + + echo " --- 小计: OK=$OK, FAIL=$FAIL ---" + echo "" +done + +# 检查仿真完成情况 +echo "=== 仿真完成情况 ===" +for CASE_TYPE in dam_break rising_bubble droplet_impact; do + CASES_DIR="$OUTPUT_DIR/$CASE_TYPE" + sim_done=0 + sim_total=0 + for case_dir in "$CASES_DIR"/t[0-9]*; do + [ -d "$case_dir" ] || continue + sim_total=$((sim_total + 1)) + if [ -f "$case_dir/log.interFoam" ] && grep -q "End" "$case_dir/log.interFoam" 2>/dev/null; then + sim_done=$((sim_done + 1)) + fi + done + echo " $CASE_TYPE: $sim_done / $sim_total 完成" +done diff --git a/scripts/visualize_hdf5.py b/scripts/visualize_hdf5.py new file mode 100644 index 0000000000000000000000000000000000000000..9cc892b91f19c102df9cddb04fd363bdb927cb31 --- /dev/null +++ b/scripts/visualize_hdf5.py @@ -0,0 +1,169 @@ +#!/usr/bin/env python3 +""" +visualize_hdf5.py — 从 HDF5 文件生成出版质量的多时间步可视化。 + +读取 postprocess_to_hdf5.py 生成的 HDF5 文件，调用 viz_common.plot_snapshots 生成: + - 上行: alpha (VOF 相分数), RdBu_r 色图 + - 下行: velocity magnitude |U|, viridis 色图 + 白色 streamlines + +支持单文件模式和批量模式 (--batch)。 + +用法: + # 单文件 + python3 visualize_hdf5.py --input traj_0000.h5 --output hdf5_viz.png + + # 批量模式 + python3 visualize_hdf5.py --input /path/to/raw/ --output /path/to/visualizations/ + + # 自定义时间步和长宽比 + python3 visualize_hdf5.py --input traj_0000.h5 --output snap.png --timesteps 0,5,10,15,20 +""" + +import argparse +import glob +import os +import sys + +import h5py +import numpy as np + +from viz_common import CASES, select_timesteps, plot_snapshots + + +def load_hdf5(path): + """读取 HDF5 文件，返回 (data_dict, attrs_dict)。""" + with h5py.File(path, "r") as f: + data = {} + for key in ["alpha", "u", "v", "x_grid", "y_grid"]: + if key in f: + data[key] = f[key][:] + attrs = dict(f.attrs) + return data, attrs + + +def plot_hdf5(h5_path, outpath, title=None, max_aspect=None, + vel_mode="arrows", timesteps=None, arrow_cfg=None): + """从单个 HDF5 文件生成快照图。""" + data, attrs = load_hdf5(h5_path) + + alpha = data["alpha"] # (n_frames, nx, ny) + u = data["u"] + v = data["v"] + x_grid = data["x_grid"] # (nx, ny) + y_grid = data["y_grid"] + + n_frames, nx, ny = alpha.shape + times = attrs.get("times", np.arange(n_frames, dtype=np.float64)) + if isinstance(times, np.ndarray) and times.ndim == 0: + times = np.array([times]) + case_name = attrs.get("case_name", os.path.basename(h5_path)) + title_display = case_name.replace("_", " ").title() if "_" in case_name else case_name + Lx = float(attrs.get("mesh_Lx", x_grid.max() - x_grid.min())) + Ly = float(attrs.get("mesh_Ly", y_grid.max() - y_grid.min())) + + if title is None: + title = title_display + + x0, x1 = float(x_grid.min()), float(x_grid.max()) + y0, y1 = float(y_grid.min()), float(y_grid.max()) + domain_aspect = Ly / Lx + + # 选择时间步 + indices = select_timesteps(times, timesteps, domain_aspect) + + # 组装 frames + frames = [] + for idx in indices: + frames.append({ + "alpha": alpha[idx].T, # HDF5 (nx,ny) → (ny,nx) imshow 格式 + "u": u[idx].T, + "v": v[idx].T, + "t": float(times[idx]) if idx < len(times) else float(idx), + }) + + mesh_label = f"{nx}x{ny}" + domain_label = f"{Lx:.3f}x{Ly:.3f}" + + plot_snapshots( + frames, outpath, title, mesh_label, domain_label, + extent=[x0, x1, y0, y1], + axis_labels=("x", "z") if Ly < 0.05 * Lx else ("x", "y"), + max_aspect=max_aspect, vel_mode=vel_mode, arrow_cfg=arrow_cfg, + ) + + +def batch_process(input_dir, output_dir, title=None, max_aspect=None, + vel_mode="arrows", timesteps=None): + """批量处理目录下所有 traj_*.h5 文件。""" + h5_files = sorted(glob.glob(os.path.join(input_dir, "traj_*.h5"))) + if not h5_files: + h5_files = sorted(glob.glob(os.path.join(input_dir, "*", "traj_*.h5"))) + if not h5_files: + print(f"未找到 traj_*.h5 文件: {input_dir}") + return + + print(f"发现 {len(h5_files)} 个 HDF5 文件") + os.makedirs(output_dir, exist_ok=True) + + for h5_path in h5_files: + basename = os.path.splitext(os.path.basename(h5_path))[0] + rel = os.path.relpath(h5_path, input_dir) + rel_dir = os.path.dirname(rel) + if rel_dir: + out_name = f"{rel_dir.replace(os.sep, '_')}_{basename}.png" + else: + out_name = f"{basename}.png" + outpath = os.path.join(output_dir, out_name) + + with h5py.File(h5_path, "r") as f: + cn = f.attrs.get("case_name", basename) + case_key = cn if cn in CASES else basename.split("_")[0] if "_" not in cn else cn + case_cfg = CASES.get(case_key, {}) + + file_title = title or (cn.replace("_", " ").title() if "_" in cn else cn) + case_max_aspect = max_aspect if max_aspect is not None else case_cfg.get("max_aspect") + case_ts = timesteps if timesteps is not None else case_cfg.get("timesteps") + case_arrow_cfg = case_cfg.get("arrow_cfg") + + print(f"处理: {os.path.basename(h5_path)}") + try: + plot_hdf5(h5_path, outpath, title=file_title, + max_aspect=case_max_aspect, vel_mode=vel_mode, + timesteps=case_ts, arrow_cfg=case_arrow_cfg) + except Exception as e: + print(f" [ERROR] {e}") + + +def main(): + parser = argparse.ArgumentParser( + description="从 HDF5 文件生成出版质量的多时间步快照图" + ) + parser.add_argument("--input", type=str, required=True, + help="HDF5 文件路径或目录路径（--batch 模式）") + parser.add_argument("--output", type=str, required=True, + help="输出 PNG 路径或输出目录（--batch 模式）") + parser.add_argument("--title", type=str, default=None) + parser.add_argument("--max-aspect", type=float, default=None) + parser.add_argument("--vel-mode", type=str, default="arrows", + choices=["arrows", "streamlines"]) + parser.add_argument("--timesteps", type=str, default=None, + help="指定时间点（逗号分隔），如 '0,0.5,1,1.5,2'") + parser.add_argument("--batch", action="store_true", + help="批量模式: --input 为目录") + args = parser.parse_args() + + ts = [float(x) for x in args.timesteps.split(",")] if args.timesteps else None + + if args.batch: + batch_process(args.input, args.output, title=args.title, + max_aspect=args.max_aspect, vel_mode=args.vel_mode, timesteps=ts) + else: + if not os.path.isfile(args.input): + print(f"文件不存在: {args.input}", file=sys.stderr) + sys.exit(1) + plot_hdf5(args.input, args.output, title=args.title, + max_aspect=args.max_aspect, vel_mode=args.vel_mode, timesteps=ts) + + +if __name__ == "__main__": + main() diff --git a/scripts/viz_common.py b/scripts/viz_common.py new file mode 100644 index 0000000000000000000000000000000000000000..32e87ee0ba336957a9d4c3e7f346e1bdbc882184 --- /dev/null +++ b/scripts/viz_common.py @@ -0,0 +1,315 @@ +#!/usr/bin/env python3 +""" +viz_common.py — 共享可视化绘图模块。 + +提供 plot_snapshots() 核心绘图函数，供 foam_viz.py 和 visualize_hdf5.py 复用。 +包含绘图常量、CASES 配置、流线/箭头绘制、diverged 检测等。 + +用法: + from viz_common import plot_snapshots, CASES, detect_diverged +""" + +import os + +import numpy as np + +import matplotlib +matplotlib.use("Agg") +import matplotlib.pyplot as plt + + +# ── 绘图常量 ────────────────────────────────────────────────────────────────── + +CMAP_ALPHA = "RdBu_r" # alpha: 蓝(0) → 白(0.5) → 红(1) +CMAP_VEL = "viridis" # velocity: 深紫 → 绿 → 黄 + +SUBPLOT_BASE_W = 3.0 # 子图基础宽度（英寸） +SUBPLOT_MIN_H = 2.8 # 子图最小高度（英寸） + +STREAM_DENSITY = 1.5 # streamplot 箭头密度 +STREAM_SUBSAMPLE_MAX = 128 # field 维度 > 此值时先降采样再画 streamplot + + +# ── 案例配置 ────────────────────────────────────────────────────────────────── + +CASES = { + "dam_break": { + "timesteps": [0.0, 0.5, 1.0, 1.5, 2.0], + "title": "Dam Break", + "max_aspect": None, + "axis_labels": ("x", "y"), + "arrow_cfg": {"width": 0.006, "headwidth": 4, "headlength": 5}, + }, + "rising_bubble": { + "timesteps": [0.0, 0.37, 1.02, 2.04, 3.0], + "title": "Rising Bubble", + "max_aspect": None, + "axis_labels": ("x", "y"), + "arrow_cfg": {"width": 0.008, "headwidth": 4, "headlength": 5}, + }, + "droplet_impact": { + "timesteps": [0.0, 0.1, 0.2, 0.3, 0.4, 0.5], + "title": "Droplet Impact", + "max_aspect": None, + "axis_labels": ("x", "y"), + "arrow_cfg": {"width": 0.006, "headwidth": 4, "headlength": 5, + "frame_scale": 0.1}, + }, + "stokes_wave": { + "timesteps": [0.0, 5.0, 10.0, 15.0, 20.0], + "title": "Stokes Wave Tank", + "max_aspect": 0.3, + "axis_labels": ("x", "z"), + "arrow_cfg": {"width": 0.004, "headwidth": 4, "headlength": 5, + "scale": 1.4, "scale_units": "xy"}, + }, +} + + +# ── 工具函数 ────────────────────────────────────────────────────────────────── + +def detect_diverged(*arrays): + """检测数组中是否存在 NaN 或 inf。""" + for arr in arrays: + if not np.all(np.isfinite(arr)): + return True + return False + + +def select_timesteps(times, timesteps=None, domain_aspect=None): + """选择要展示的时间步索引。 + + 参数: + times: 可用时间值数组 + timesteps: 指定时间点列表（自动匹配最近帧）；None 则均匀选取 + domain_aspect: 域长宽比（用于决定 max_cols） + + 返回: + indices: 帧索引列表 + """ + n_frames = len(times) + if timesteps is not None: + indices = [] + for t_req in timesteps: + idx = int(np.argmin(np.abs(times - t_req))) + if idx not in indices: + indices.append(idx) + return indices + + max_cols = 5 if (domain_aspect is not None and domain_aspect < 0.1) else 6 + n_show = min(n_frames, max_cols) + if n_frames <= max_cols: + return list(range(n_frames)) + return np.linspace(0, n_frames - 1, n_show, dtype=int).tolist() + + +# ── 核心绘图函数 ────────────────────────────────────────────────────────────── + +def plot_snapshots( + frames, outpath, title, mesh_label, domain_label, + extent, axis_labels=("x", "y"), max_aspect=None, vel_mode="arrows", + arrow_cfg=None, +): + """生成 alpha（上行）+ velocity magnitude（下行）多时间步快照图。 + + 参数: + frames: list of dict，每个 dict 包含: + - "alpha": 2D array (ny, nx)，VOF 相分数（imshow 格式） + - "u": 2D array (ny, nx)，X 速度 + - "v": 2D array (ny, nx)，垂直速度 + - "t": 时间值（用于标题） + outpath: 输出 PNG 路径 + title: 图标题前缀 + mesh_label: 网格标签（如 "128x128"） + domain_label: 域尺寸标签（如 "0.584x0.584"） + extent: imshow extent [x0, x1, y0, y1] + axis_labels: (xlabel, ylabel) + max_aspect: 高/宽比上限（防止细长域过宽），None 自动检测 + vel_mode: "streamlines" 或 "arrows" + """ + x0, x1, y0, y1 = extent + Lx = x1 - x0 + Ly = y1 - y0 + domain_aspect = Ly / Lx + + # 细长域 (原始 aspect < 0.1) 用 auto，否则用 equal + use_equal = domain_aspect >= 0.1 + imshow_aspect = "equal" if use_equal else "auto" + + # max_aspect: 限制高/宽比 + eff_aspect = domain_aspect + if max_aspect is None: + max_aspect = 0.25 if domain_aspect < 0.25 else domain_aspect + eff_aspect = max(max_aspect, domain_aspect) + + # 子图尺寸：高度固定，宽度按物理域比例，上限 6 英寸 + sh = SUBPLOT_BASE_W + sw = max(SUBPLOT_MIN_H, min(6.0, sh * (1.0 / eff_aspect))) + + n_cols = len(frames) + fig_w = n_cols * sw + 1.8 + fig_h = 2 * sh + 1.5 + fig, axes = plt.subplots(2, n_cols, figsize=(fig_w, fig_h)) + if n_cols == 1: + axes = axes.reshape(2, 1) + + fig.suptitle( + f"{title} | mesh {mesh_label} | domain {domain_label} m", + fontsize=13, fontweight="bold", + ) + + # frame 数据为 (ny, nx) 格式，直接用于 imshow + ny, nx = frames[0]["alpha"].shape + x_1d = np.linspace(x0, x1, nx) + y_1d = np.linspace(y0, y1, ny) + + # 预计算全局 vel_max（供 global_scale 使用） + _global_vel_max = 0.0 + if arrow_cfg and "global_scale" in arrow_cfg: + for fr in frames: + m = float(np.nanmax(np.sqrt(fr["u"]**2 + fr["v"]**2))) + if m > _global_vel_max: + _global_vel_max = m + + for col, fr in enumerate(frames): + t_val = fr["t"] + alpha_2d = fr["alpha"] # (ny, nx) + u_2d = fr["u"] + v_2d = fr["v"] + vel_2d = np.sqrt(u_2d ** 2 + v_2d ** 2) + + has_div = detect_diverged(fr["alpha"], fr["u"], fr["v"]) + + # ── 上行: alpha ── + ax_a = axes[0, col] + alpha_safe = np.clip( + np.where(np.isfinite(alpha_2d), alpha_2d, np.nan), 0.0, 1.0, + ) + im_a = ax_a.imshow( + alpha_safe, cmap=CMAP_ALPHA, origin="lower", + extent=extent, vmin=0.0, vmax=1.0, + interpolation="bilinear", aspect=imshow_aspect, + ) + cb_a = fig.colorbar(im_a, ax=ax_a, fraction=0.046, pad=0.04) + cb_a.set_label("alpha (VOF)", fontsize=8) + cb_a.ax.tick_params(labelsize=7) + ax_a.set_xlim(x0, x1) + ax_a.set_ylim(y0, y1) + ax_a.tick_params(labelsize=7) + + if has_div: + ax_a.text( + 0.5, 0.5, "DIVERGED", transform=ax_a.transAxes, + ha="center", va="center", fontsize=18, fontweight="bold", + color="yellow", + bbox=dict(facecolor="red", alpha=0.7, edgecolor="none"), + ) + + if col == 0: + ax_a.set_ylabel(axis_labels[1], fontsize=9) + ax_a.set_title(f"alpha t={t_val:.1f}s", fontsize=9) + ax_a.set_xticklabels([]) + + # ── 下行: velocity magnitude + streamlines ── + ax_v = axes[1, col] + vel_safe = np.where(np.isfinite(vel_2d), vel_2d, np.nan) + vel_max = float(np.nanmax(vel_safe)) if np.any(np.isfinite(vel_safe)) else 0.0 + im_v = ax_v.imshow( + vel_safe, cmap=CMAP_VEL, origin="lower", + extent=extent, vmin=0.0, vmax=max(vel_max, 1e-6), + interpolation="nearest", aspect=imshow_aspect, + ) + cb_v = fig.colorbar(im_v, ax=ax_v, fraction=0.046, pad=0.04) + cb_v.set_label("|U| (m/s)", fontsize=8) + cb_v.ax.tick_params(labelsize=7) + ax_v.set_xlim(x0, x1) + ax_v.set_ylim(y0, y1) + ax_v.tick_params(labelsize=7) + + # velocity arrows 或 streamlines + if not has_div and ny >= 4: + if vel_mode == "arrows": + cfg = arrow_cfg or {} + skip_x = max(1, nx // 15) + skip_y = max(1, ny // 15) + X_q = x_1d[::skip_x] + Y_q = y_1d[::skip_y] + U_q = u_2d[::skip_y, ::skip_x] + V_q = v_2d[::skip_y, ::skip_x] + quiver_kw = dict( + color="white", alpha=0.9, pivot="mid", + width=cfg.get("width", 0.006), + headwidth=cfg.get("headwidth", 4), + headlength=cfg.get("headlength", 5), + headaxislength=cfg.get("headaxislength", 3), + ) + if "frame_scale" in cfg: + # 每帧独立归一化：最长箭头 = frame_scale × 域较小维度 + vel_mag_q = np.sqrt(U_q**2 + V_q**2) + max_vel = float(np.nanmax(vel_mag_q)) if vel_mag_q.size else 0.0 + target_len = cfg["frame_scale"] * min(x1 - x0, y1 - y0) + if max_vel > 1e-8 and target_len > 1e-8: + quiver_kw["scale"] = max_vel / target_len + quiver_kw["scale_units"] = "xy" + elif "global_scale" in cfg: + # 全局归一化：用全帧 vel_max + 域尺寸计算统一 scale + target_len = cfg["global_scale"] * min(x1 - x0, y1 - y0) + if _global_vel_max > 1e-8 and target_len > 1e-8: + quiver_kw["scale"] = _global_vel_max / target_len + quiver_kw["scale_units"] = "xy" + elif "auto_scale" in cfg: + vel_mag_q = np.sqrt(U_q**2 + V_q**2) + max_vel = float(np.nanmax(vel_mag_q)) if vel_mag_q.size else 0.0 + dx = (x1 - x0) / max(nx - 1, 1) * skip_x + dy = (y1 - y0) / max(ny - 1, 1) * skip_y + arrow_spacing = min(dx, dy) + target_len = cfg["auto_scale"] * arrow_spacing + if max_vel > 1e-8 and target_len > 1e-8: + quiver_kw["scale"] = max_vel / target_len + quiver_kw["scale_units"] = "xy" + elif "scale" in cfg: + quiver_kw["scale"] = cfg["scale"] + quiver_kw["scale_units"] = cfg.get("scale_units", "xy") + try: + import warnings + with warnings.catch_warnings(): + warnings.simplefilter("ignore", RuntimeWarning) + ax_v.quiver(X_q, Y_q, U_q, V_q, **quiver_kw) + except Exception: + pass + else: + try: + subsample = 1 + if max(nx, ny) > STREAM_SUBSAMPLE_MAX: + subsample = max(1, max(nx, ny) // STREAM_SUBSAMPLE_MAX) + X_s = x_1d[::subsample] + Y_s = y_1d[::subsample] + U_s = u_2d[::subsample, ::subsample] + V_s = v_2d[::subsample, ::subsample] + ax_v.streamplot( + X_s, Y_s, U_s, V_s, + color="white", linewidth=0.5, + density=STREAM_DENSITY, arrowsize=0.8, + arrowstyle="->", + ) + except Exception: + pass + + if has_div: + ax_v.text( + 0.5, 0.5, "DIVERGED", transform=ax_v.transAxes, + ha="center", va="center", fontsize=18, fontweight="bold", + color="yellow", + bbox=dict(facecolor="red", alpha=0.7, edgecolor="none"), + ) + + ax_v.set_xlabel(axis_labels[0], fontsize=9) + if col == 0: + ax_v.set_ylabel(axis_labels[1], fontsize=9) + ax_v.set_title(f"velocity t={t_val:.1f}s", fontsize=9) + + plt.tight_layout(rect=[0, 0, 1, 0.94]) + os.makedirs(os.path.dirname(outpath) or ".", exist_ok=True) + fig.savefig(outpath, dpi=150, bbox_inches="tight") + plt.close(fig) + print(f" -> {outpath}") diff --git a/scripts/viz_droplet_new.sh b/scripts/viz_droplet_new.sh new file mode 100644 index 0000000000000000000000000000000000000000..37ad8bd80239a525c2123351bba949c104665129 --- /dev/null +++ b/scripts/viz_droplet_new.sh @@ -0,0 +1,44 @@ +#!/bin/bash +# viz_droplet_new.sh — 检查新完成的 droplet_impact case 并生成可视化 +# 每次只处理新完成的 case，避免重复 + +DATA_DIR="/mnt/f/agent-workspace/paper2/Exp/data/raw/droplet_impact" +VIZ_DIR="/mnt/f/agent-workspace/paper2/Exp/data/visualizations/arrow" +SCRIPTS_DIR="/mnt/f/agent-workspace/paper2/Exp/data/scripts" +TRACK_FILE="/mnt/f/agent-workspace/paper2/Exp/data/scripts/.viz_droplet_done" + +# 初始化追踪文件 +touch "$TRACK_FILE" + +check_completed() { + local log_file="$1/log.interFoam" + [ -f "$log_file" ] && tail -3 "$log_file" | grep -q "End" +} + +new_count=0 +for CASE_DIR in "$DATA_DIR"/t*/; do + CASE_NAME=$(basename "$CASE_DIR") + + # 跳过已追踪的 + grep -q "^${CASE_NAME}$" "$TRACK_FILE" 2>/dev/null && continue + + # 检查是否完成 + if check_completed "$CASE_DIR"; then + echo "[VIZ] $CASE_NAME — 生成可视化..." + + # 运行 foam_viz.py（直接读 OpenFOAM 数据，生成 arrow 图） + cd "$SCRIPTS_DIR" + python3 foam_viz.py --case-type droplet_impact --case-id "$CASE_NAME" --mode arrow 2>&1 + + # 标记为已处理 + echo "$CASE_NAME" >> "$TRACK_FILE" + new_count=$((new_count + 1)) + echo "[VIZ] $CASE_NAME — 完成" + fi +done + +if [ "$new_count" -gt 0 ]; then + echo "[VIZ] 共生成 $new_count 个新可视化" +else + echo "[VIZ] 无新 case 完成" +fi