diff --git a/.devcontainer/Dockerfile b/.devcontainer/Dockerfile index 5a34a57..5c5fad4 100644 --- a/.devcontainer/Dockerfile +++ b/.devcontainer/Dockerfile @@ -52,9 +52,8 @@ RUN groupadd --gid $USER_GID $USERNAME \ && mkdir -p /home/$USERNAME/.vscode-server /home/$USERNAME/.vscode-server-insiders \ && chown ${USER_UID}:${USER_GID} /home/$USERNAME/.vscode-server* -# Copy environment files (use lightweight env-codespace.yml for Codespaces) +# Copy the Codespaces environment definition (CPU torch + Jupyter). COPY env-codespace.yml /tmp/env.yml -COPY requirements.txt /tmp/requirements.txt # Create conda environment with mamba and aggressive cleanup to save space RUN mamba env create -f /tmp/env.yml && \ diff --git a/.devcontainer/README.md b/.devcontainer/README.md index a37c5f9..b9943da 100644 --- a/.devcontainer/README.md +++ b/.devcontainer/README.md @@ -20,51 +20,44 @@ This devcontainer provides a standardized development environment for the AutoQu ### Environment - **Python 3.10.13** with conda/mamba package management -- **AutoQuake conda environment** with all dependencies from `env.yml` +- **AutoQuake conda environment** built from `env-codespace.yml` (CPU-only PyTorch) - **Scientific computing stack**: NumPy, Pandas, SciPy, Matplotlib, ObsPy -- **Machine Learning**: PyTorch, scikit-learn -- **Seismology tools**: ObsPy, PyGMT, Pyrocko -- **Development tools**: Black, isort, flake8, pre-commit +- **Machine Learning**: PyTorch (CPU), scikit-learn, ONNX Runtime +- **Seismology / geospatial tools**: ObsPy, PyGMT, Cartopy, pyproj +- **Development tools**: Ruff, pre-commit ### VS Code Extensions - Python development suite (Python, Pylance, Jupyter) -- Code formatting and linting (Black, Ruff, flake8) +- Linting & formatting with Ruff - Git integration (GitLens, GitHub tools) - Documentation tools (Markdown, autodocstring) -- Scientific computing support ### Development Tools +- **Ruff** for linting and formatting (replaces black + isort + flake8) - **Pre-commit hooks** for code quality - **Jupyter Lab** ready to use -- **Code formatting** with Black and isort -- **Linting** with flake8 and Ruff ## 🛠️ Development Workflow ### Environment Activation -The conda environment `AutoQuake_v0` is automatically activated. You can also use: +The conda environment `AutoQuake_v0` is activated automatically in new terminals. +To activate it manually: ```bash -aq # Quick alias to activate environment +conda activate AutoQuake_v0 ``` ### Development Tools ```bash -# You can create your own aliases if needed, such as: -conda activate AutoQuake_v0 # Activate environment -black . && isort . # Format code -flake8 . # Check code quality -jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root # Start Jupyter -``` - -### Jupyter Development -```bash -aqjupyter # Start Jupyter Lab on port 8888 +ruff check . # Lint +ruff format . # Format (single quotes, 88 cols — see pyproject.toml) +pytest tests/unit -m "not integration" # Run the fast unit tests +jupyter lab --ip=0.0.0.0 --port=8888 --no-browser # Start Jupyter Lab ``` ### Testing Your Setup ```bash conda activate AutoQuake_v0 # Ensure environment is active -python -c "import autoquake; print('AutoQuake loaded successfully')" # Test AutoQuake import +python -c "import autoquake; print('AutoQuake loaded successfully')" # Test import ``` ## 📁 Project Structure @@ -97,9 +90,8 @@ This environment is prepared for real-time seismic data processing with: ## 🔧 Customization ### Adding Dependencies -1. Update `env.yml` for conda packages -2. Update `requirements.txt` for pip packages -3. Rebuild the container +1. Add the package to `env.yml` (local/CI) **and** `env-codespace.yml` (Codespaces) +2. Rebuild the container ("Dev Containers: Rebuild Container") ### VS Code Settings Modify `.devcontainer/devcontainer.json` to customize: @@ -119,24 +111,24 @@ Add system packages in the Dockerfile under the apt-get install section. ### Python Environment Issues ```bash -conda activate AutoQuake_v0 # Ensure environment is active -python dev-utils.py # Check environment status +conda activate AutoQuake_v0 # Ensure environment is active +conda env list # Confirm AutoQuake_v0 exists ``` ### Import Errors -```bash -pip install -e . # Reinstall AutoQuake in development mode -``` +The project runs from the repository root (pytest adds it to `sys.path` via +`pyproject.toml`). If `import autoquake` fails, make sure your working directory +is the repo root and the conda environment is active. ### Port Conflicts The container forwards ports 8888, 8080, and 5000. Modify `devcontainer.json` if needed. ## 🤝 Contributing -1. The environment automatically sets up pre-commit hooks -2. Code is automatically formatted on save -3. Run tests before committing: `aqtest` -4. Follow the existing code style (Black formatting) +1. The environment automatically sets up pre-commit hooks (commit + push) +2. Code is automatically formatted on save by Ruff +3. Run tests before committing: `pytest tests/unit -m "not integration"` +4. Follow the existing code style (Ruff: single quotes, 88-column lines) ## 📝 Notes for Real-time Development @@ -149,7 +141,7 @@ When implementing real-time features: ## 🆘 Getting Help - Check the main AutoQuake README for project-specific information -- Run `python dev-utils.py` for environment diagnostics +- Run `conda env list` and `conda list` to inspect the environment - Use the VS Code integrated terminal with all tools pre-configured Happy coding! 🎉 diff --git a/.devcontainer/devcontainer.json b/.devcontainer/devcontainer.json index 3fd2337..d398d29 100644 --- a/.devcontainer/devcontainer.json +++ b/.devcontainer/devcontainer.json @@ -11,67 +11,45 @@ "customizations": { "vscode": { "extensions": [ - // Python Development + // Python (ruff is the single linter/formatter — matches pyproject.toml & CI) "ms-python.python", - "ms-python.flake8", - "ms-python.pylint", - "ms-python.black-formatter", + "ms-python.vscode-pylance", + "ms-python.debugpy", "charliermarsh.ruff", - "ms-python.isort", + "kevinrose.vsc-python-indent", + "njpwerner.autodocstring", + + // Jupyter / scientific computing "ms-toolsai.jupyter", - "ms-toolsai.vscode-jupyter-cell-tags", - "ms-toolsai.vscode-jupyter-slideshow", - - // Scientific Computing & Data Science "ms-toolsai.jupyter-keymap", "ms-toolsai.jupyter-renderers", - "ms-python.vscode-pylance", - "njpwerner.autodocstring", - - // Git & Version Control + "ms-toolsai.vscode-jupyter-cell-tags", + "ms-toolsai.vscode-jupyter-slideshow", + + // Git & GitHub "eamodio.gitlens", "github.vscode-pull-request-github", "github.copilot", "github.copilot-chat", - - // Documentation & Markdown + + // Docs & config files "yzhang.markdown-all-in-one", "davidanson.vscode-markdownlint", - "ms-vscode.vscode-json", - - // Development Tools - "ms-vscode.vscode-yaml", - "redhat.vscode-xml", - "ms-vscode.cmake-tools", - "ms-vscode.cpptools", - - // Visualization & Plotting - "ms-python.debugpy", - "kevinrose.vsc-python-indent", - "donjayamanne.python-environment-manager", - - // Remote Development - "ms-vscode-remote.remote-containers", - "ms-vscode-remote.remote-ssh", - "ms-vscode-remote.remote-wsl" + "redhat.vscode-yaml" ], "settings": { "python.defaultInterpreterPath": "/opt/conda/envs/AutoQuake_v0/bin/python", "python.terminal.activateEnvironment": true, "python.terminal.activateEnvInCurrentTerminal": true, - "python.linting.enabled": true, - "python.linting.pylintEnabled": false, - "python.linting.flake8Enabled": true, - "python.formatting.provider": "black", - "python.formatting.blackArgs": ["--line-length=88"], - "python.sortImports.args": ["--profile", "black"], - "ruff.args": ["--config", "pyproject.toml"], "ruff.enable": true, "ruff.organizeImports": true, "editor.formatOnSave": true, - "editor.codeActionsOnSave": { - "source.organizeImports": "explicit", - "source.fixAll.ruff": "explicit" + "[python]": { + "editor.defaultFormatter": "charliermarsh.ruff", + "editor.codeActionsOnSave": { + "source.organizeImports.ruff": "explicit", + "source.fixAll.ruff": "explicit" + } }, "files.trimTrailingWhitespace": true, "files.insertFinalNewline": true, diff --git a/.devcontainer/post-create.sh b/.devcontainer/post-create.sh index 88bbc8a..33d6495 100755 --- a/.devcontainer/post-create.sh +++ b/.devcontainer/post-create.sh @@ -1,4 +1,5 @@ #!/bin/bash +set -e echo "🚀 Setting up AutoQuake development environment..." @@ -7,50 +8,29 @@ source /opt/conda/etc/profile.d/conda.sh # Activate the AutoQuake environment conda activate AutoQuake_v0 - -# Verify environment activation echo "📦 Active conda environment: $CONDA_DEFAULT_ENV" -# Install development dependencies (ipykernel and jupyterlab already in env-codespace.yml) -echo "🔧 Installing development tools..." -pip install --no-cache-dir \ - black \ - isort \ - flake8 \ - pre-commit - -# Install the AutoQuake package in development mode -echo "📥 Installing AutoQuake in development mode..." -pip install -e . +# Dev-only tooling (kept out of the conda env so it stays lean). +# Ruff replaces black + isort + flake8; pre-commit runs it on every commit. +echo "🔧 Installing development tools (ruff, pre-commit)..." +pip install --no-cache-dir ruff pre-commit -# Initialize git submodules if they exist +# Initialize git submodules (EQNet, GaMMA) so the full pipeline can import them. if [ -f ".gitmodules" ]; then echo "🔗 Initializing git submodules..." git submodule update --init --recursive fi -# Set up pre-commit hooks for code quality +# Install pre-commit hooks for code quality (commit + push stages). echo "🎯 Setting up pre-commit hooks..." pre-commit install +pre-commit install --hook-type pre-push -# Create Jupyter kernel for the environment +# Register a Jupyter kernel for the environment. echo "📓 Setting up Jupyter kernel..." python -m ipykernel install --user --name=AutoQuake_v0 --display-name="AutoQuake v0.1" -# Create commonly used directories -mkdir -p data -mkdir -p outputs -mkdir -p logs - -# Set up git configuration helper -echo "🔧 Setting up git configuration..." -echo '#!/bin/bash -echo "Quick setup for git configuration:" -echo "git config --global user.name \"Your Name\"" -echo "git config --global user.email \"your.email@example.com\"" -' > setup-git.sh -chmod +x setup-git.sh - -echo "✨ AutoQuake development environment setup completed!" +echo "✨ AutoQuake development environment ready!" echo "" -echo "🚀 Ready for AutoQuake development!" +echo " Run the test suite with: pytest tests/unit -m \"not integration\"" +echo " Run the full pipeline with: python predict.py " diff --git a/.github/workflows/submodule-check.yml b/.github/workflows/submodule-check.yml new file mode 100644 index 0000000..46c87e5 --- /dev/null +++ b/.github/workflows/submodule-check.yml @@ -0,0 +1,83 @@ +name: Submodule Compatibility Check + +on: + # Manual trigger + workflow_dispatch: + + # Weekly check on Sunday at 00:00 UTC + schedule: + - cron: '0 0 * * 0' + +env: + PYTHON_VERSION: "3.10" + +jobs: + check-submodules: + name: Check Submodule Compatibility + runs-on: ubuntu-latest + steps: + - name: Checkout repository + uses: actions/checkout@v4 + with: + submodules: recursive + fetch-depth: 0 + + - name: Fetch latest submodule commits + run: | + git submodule foreach 'git fetch origin' + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: ${{ env.PYTHON_VERSION }} + + - name: Install dependencies + run: | + pip install pytest pandas pydantic numpy pyproj + + - name: Run compatibility check + run: python scripts/check-submodule-compat.py + + - name: Run tests with current submodules + run: pytest tests/ -v --tb=short + continue-on-error: true + + - name: Create issue if tests fail + if: failure() + uses: actions/github-script@v7 + with: + script: | + const title = 'Submodule Compatibility Issue Detected'; + const body = ` + ## Submodule Compatibility Check Failed + + The weekly submodule compatibility check has detected potential issues. + + **Workflow Run:** [View Details](${process.env.GITHUB_SERVER_URL}/${process.env.GITHUB_REPOSITORY}/actions/runs/${process.env.GITHUB_RUN_ID}) + + Please review the workflow logs and address any compatibility issues before updating submodules. + + ### Next Steps + 1. Review the compatibility report in the workflow logs + 2. Check for API changes in submodules + 3. Update code if necessary + 4. Run \`python scripts/check-submodule-compat.py\` locally to verify fixes + `; + + // Check if issue already exists + const issues = await github.rest.issues.listForRepo({ + owner: context.repo.owner, + repo: context.repo.repo, + state: 'open', + labels: 'submodule-compat' + }); + + if (issues.data.length === 0) { + await github.rest.issues.create({ + owner: context.repo.owner, + repo: context.repo.repo, + title: title, + body: body, + labels: ['submodule-compat', 'automated'] + }); + } diff --git a/.github/workflows/test.yml b/.github/workflows/test.yml new file mode 100644 index 0000000..b7c7972 --- /dev/null +++ b/.github/workflows/test.yml @@ -0,0 +1,95 @@ +name: AutoQuake Tests + +on: + push: + branches: [main, feature-*] + paths: + - '**.py' + - 'requirements*.txt' + - 'pyproject.toml' + - 'tests/**' + - '.github/workflows/test.yml' + pull_request: + branches: [main] + # Heavy end-to-end pipeline is opt-in: trigger it by hand from the Actions tab. + workflow_dispatch: + +env: + PYTHON_VERSION: "3.10" + +jobs: + # --------------------------------------------------------------------------- + # Cheap gate -- runs on every push / PR. + # --------------------------------------------------------------------------- + lint: + name: Lint + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: ${{ env.PYTHON_VERSION }} + + - name: Install ruff + run: pip install ruff + + - name: Run ruff check + run: ruff check . + + # - name: Run ruff format check + # run: ruff format --check . + + unit-tests: + name: Unit Tests + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + + - name: Set up Python + uses: actions/setup-python@v5 + with: + python-version: ${{ env.PYTHON_VERSION }} + + - name: Install dependencies + # Unit tests only touch the config layer -> pydantic + pandas + pytest. + run: pip install pytest pytest-cov pydantic pandas + + - name: Run unit tests + run: pytest tests/unit -m "not integration" --cov=ParamConfig --cov-report=xml --cov-report=term + + - name: Upload coverage to Codecov + uses: codecov/codecov-action@v4 + with: + files: coverage.xml + fail_ci_if_error: false + continue-on-error: true + + # --------------------------------------------------------------------------- + # Heavy, real pipeline -- manual only, non-blocking. Needs the full conda env, + # submodules and the (Linux) h3dd / gafocal binaries. + # --------------------------------------------------------------------------- + integration-tests: + name: Integration (E2E) Tests + runs-on: ubuntu-latest + if: github.event_name == 'workflow_dispatch' + needs: [lint, unit-tests] + continue-on-error: true + defaults: + run: + shell: bash -el {0} + steps: + - uses: actions/checkout@v4 + with: + submodules: recursive + + - name: Set up conda environment + uses: conda-incubator/setup-miniconda@v3 + with: + environment-file: env.yml + activate-environment: AutoQuake + auto-activate-base: false + + - name: Run end-to-end integration tests + run: pytest tests/integration -m integration --tb=short -rs diff --git a/.gitignore b/.gitignore index b6091eb..7e93a5f 100644 --- a/.gitignore +++ b/.gitignore @@ -7,8 +7,8 @@ gmt.history *.log -*.SAC -*.csv +.claude +# *.csv *.dout *.hout *.dat_ch @@ -18,11 +18,9 @@ gmt.history *.pth *gamma_config.txt - # model /model_phasenet_* - testset* # H3DD !/H3DD/h3dd diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml deleted file mode 100644 index d1697c5..0000000 --- a/.pre-commit-config.yaml +++ /dev/null @@ -1,37 +0,0 @@ -repos: - - repo: https://github.com/pre-commit/pre-commit-hooks - rev: v4.4.0 - hooks: - - id: trailing-whitespace - - id: end-of-file-fixer - - id: check-yaml - - id: check-added-large-files - - id: check-merge-conflict - - id: debug-statements - - id: check-docstring-first - - - repo: https://github.com/psf/black - rev: 23.7.0 - hooks: - - id: black - language_version: python3.10 - args: [--line-length=88] - - - repo: https://github.com/pycqa/isort - rev: 5.12.0 - hooks: - - id: isort - args: [--profile, black, --line-length=88] - - - repo: https://github.com/charliermarsh/ruff-pre-commit - rev: v0.0.287 - hooks: - - id: ruff - args: [--fix, --exit-non-zero-on-fix] - - - repo: https://github.com/pycqa/flake8 - rev: 6.0.0 - hooks: - - id: flake8 - additional_dependencies: [flake8-docstrings] - args: [--max-line-length=88, --extend-ignore=E203,W503] diff --git a/DEVCONTAINER_SETUP.md b/DEVCONTAINER_SETUP.md deleted file mode 100644 index 0456d59..0000000 --- a/DEVCONTAINER_SETUP.md +++ /dev/null @@ -1,126 +0,0 @@ -# AutoQuake DevContainer Setup - Summary - -## 🎉 Development Environment Successfully Created! - -Your AutoQuake project now has a complete, standardized development environment that will help other developers easily join the project. Here's what was set up: - -## 📦 Created Files and Directories - -### DevContainer Configuration -``` -.devcontainer/ -├── devcontainer.json # VS Code dev container configuration -├── Dockerfile # Container image with scientific computing stack -├── post-create.sh # Automated setup script -└── README.md # DevContainer documentation -``` - -### Development Tools -``` -.pre-commit-config.yaml # Code quality automation -DEVCONTAINER_SETUP.md # This setup summary -``` - -### Updated Files -- `.gitignore` - Added development-specific entries - -## 🛠️ What's Included - -### Environment Stack -- **Base**: Mambaforge (fast conda package manager) -- **Python**: 3.10.13 with AutoQuake_v0 environment -- **Scientific**: NumPy, Pandas, SciPy, Matplotlib, ObsPy, PyGMT -- **ML/AI**: PyTorch, scikit-learn, ONNX -- **Seismology**: ObsPy, Pyrocko, PyGMT -- **Development**: Black, isort, flake8, Ruff, pre-commit - -### VS Code Extensions -- Python development suite (Pylance, Jupyter) -- Code formatting and linting tools -- Git integration (GitLens, GitHub Copilot) -- Scientific computing support -- Documentation tools - -### Development Utilities -- **Pre-commit hooks**: Automatic code quality checks -- **Clean environment**: Users can set up their own aliases and utilities as needed - -## 🚀 How to Use - -### For Contributors -1. **Prerequisites**: Docker + VS Code + Dev Containers extension -2. **Clone**: Fork and clone the repository -3. **Open**: Open project in VS Code -4. **Start**: Click "Reopen in Container" when prompted -5. **Develop**: Everything is ready to go! - -### Development Workflow -```bash -# Check environment -conda activate AutoQuake_v0 - -# Format and check code -black . && isort . -flake8 . - -# Start Jupyter for interactive development -jupyter lab --ip=0.0.0.0 --port=8888 --no-browser --allow-root -``` - -## 🌟 Benefits for Real-time Development - -### Ready for Real-time Processing -- **Network libraries**: Pre-installed for data center access -- **Streaming support**: fsspec, ObsPy clients ready -- **Performance tools**: Numba, optimized libraries -- **Memory management**: Efficient tools for continuous processing - -### Consistent Environment -- **No "works on my machine" issues** -- **Identical setup for all contributors** -- **Automated dependency management** -- **Pre-configured development tools** - -### Quality Assurance -- **Automatic code formatting** -- **Pre-commit hooks prevent bad commits** -- **Integrated linting and style checks** - -## 🔄 Next Steps - -### For Project Maintainers -1. **Test the setup**: Try opening in a fresh environment -2. **Customize**: Adjust VS Code settings in `devcontainer.json` -3. **Documentation**: Add project-specific setup in main README -4. **CI/CD**: The GitHub Actions workflow is ready to use - -### For Real-time Features -1. **Data streaming**: Use ObsPy clients for real-time data -2. **Performance**: Leverage Numba for hot code paths -3. **Monitoring**: Add logging for operational visibility -4. **Deployment**: Container is ready for cloud deployment - -### For Contributors -1. **Read**: Check out `CONTRIBUTING.md` for detailed guidelines -2. **Explore**: Use the development utilities to understand the setup -3. **Contribute**: Start with small improvements and learn the workflow - -## 📖 Documentation - -- **DevContainer**: [`.devcontainer/README.md`](.devcontainer/README.md) -- **Main Project**: [`README.md`](README.md) - -## 🎯 Impact - -This setup will: -- ✅ **Reduce onboarding time** from hours to minutes -- ✅ **Eliminate environment issues** across different systems -- ✅ **Improve code quality** with automated tools -- ✅ **Enable real-time development** with proper tooling -- ✅ **Facilitate collaboration** with consistent standards - -Your AutoQuake project is now ready for collaborative, real-time seismic data processing development! 🌍📊 - ---- - -**Next Command**: Try opening VS Code and using "Reopen in Container" to test the setup! diff --git a/ParamConfig/config_model.py b/ParamConfig/config_model.py index ea2bb8c..aee7231 100644 --- a/ParamConfig/config_model.py +++ b/ParamConfig/config_model.py @@ -1,11 +1,14 @@ #%% from pathlib import Path -from collections import Counter import pandas as pd from typing import Callable, Literal, Any -from pydantic import BaseModel, model_validator +from pydantic import BaseModel, model_validator, Field import re from datetime import datetime, timedelta +import logging + +logger = logging.getLogger(__name__) + def default_type_judge(x: str): """ @@ -22,18 +25,6 @@ def default_type_judge(x: str): ) -""" -We set PhaseNet as True, since it's the first step. -Other steps default as True (since it's an example) - -Please note that this flow is an example and demonstrates how to\ -instantiate the classes and run. - -We use getter function to automatically pass the arguments, once\ -you familiar with the instantiation, you can switch it to file you want to use. -""" - - class PhaseNetConfig(BaseModel): """ Base parameters for PhaseNet (all except 'mode'). @@ -81,7 +72,6 @@ class PhaseNetConfig(BaseModel): dtype: str | None = None ptdtype: Any | None = None rank: int | None = None - world_size: int | None = None gpu: int | None = None distributed: bool | None = None dist_bakend: str | None = None @@ -89,17 +79,12 @@ class PhaseNetConfigReceiver(PhaseNetConfig): """ Parameters for PhaseNet (all parameters including 'mode'). """ + enabled: bool data_parent_dir: Path station_csv: Path args_list: list[PhaseNetConfig] | None = None date_list: list[str] | None = None # New attribute to store the list of dates - def _check_result_path(self): - if self.result_path.exists() and any(self.result_path.iterdir()): - response = input(f"Warning: '{self.result_path}' exists and is not empty. Overwrite? (y/n): ") - if response.lower() != 'y': - raise RuntimeError("Operation cancelled by user.") - def _time_code_checker(self): # stream_pattern = r"^\d{4}-\d{2}-\d{2}T\d{2}:\d{2}:\d{2}$" archive_pattern = r"^\d{8}$" @@ -212,7 +197,9 @@ def _get_single_station_type(data_path, station, splitter, format): config_kwargs["data_path"] = data_path _gen_list = check_data_list(data_path, self.station_csv, self.data_list, self.format) config_kwargs["data_list"] = _gen_list - print(f"Available station on {current}: {len(_gen_list)} / {pd.read_csv(self.station_csv).shape[0]}") + station_count = pd.read_csv(self.station_csv).shape[0] + available = len(_gen_list) if _gen_list is not None else 'N/A' + logger.info(f"Available station on {current}: {available} / {station_count}") config = PhaseNetConfig(**{k: config_kwargs[k] for k in PhaseNetConfig.model_fields.keys()}) configs.append(config) current = next_time @@ -236,66 +223,396 @@ def post_validation(self): - args_list \n - date_list """ - self._check_result_path() self._time_code_checker() self.date_list = self._generate_date_list() # Generate the date list self.args_list = self.generate_configs() return self class GaMMAConfig(BaseModel): - station: Path - velocity_model: Path - center: tuple[float, float] - xlim_degree: list[float] - ylim_degree: list[float] - min_p_picks_per_eq: int - min_s_picks_per_eq: int - eps: float - cpu_number: int - use_amplitude: bool + """GaMMA configuration with optional external input.""" + enabled: bool + # External input (if skipping PhaseNet) + picks_csv: Path | None = None + # Required parameters (optional when enabled=False) + station: Path | None = None + velocity_model: Path | None = None + center: tuple[float, float] | None = None + xlim_degree: list[float] | None = None + ylim_degree: list[float] | None = None + min_p_picks_per_eq: int = 6 + min_s_picks_per_eq: int = 2 + eps: float = 17.0 + cpu_number: int = 40 + use_amplitude: bool = False + + @model_validator(mode='after') + def validate_required_when_enabled(self): + """Validate required fields when enabled.""" + if self.enabled: + required = ['station', 'velocity_model', 'center', 'xlim_degree', 'ylim_degree'] + for field in required: + if getattr(self, field) is None: + raise ValueError(f'{field} is required when GaMMA is enabled') + return self + +class H3DDSingleRunConfig(BaseModel): + """Configuration for a single H3DD run.""" + event_name: str + cutoff_distances: float # Note: singular value for each run + + +class H3DDRunsConfig(BaseModel): + """Configuration for H3DD runs (first required, second optional).""" + first: H3DDSingleRunConfig + second: H3DDSingleRunConfig | None = None + class H3DDConfig(BaseModel): - station: Path - model_3D: Path - cutoff_distance_for_first_h3dd: float - event_name_for_first_h3dd: str - cutoff_distance_for_second_h3dd: float - event_name_for_second_h3dd: str + """H3DD configuration with nested runs structure.""" + enabled: bool + # External inputs (if skipping GaMMA) + events_csv: Path | None = None + picks_csv: Path | None = None + # Required parameters (optional when enabled=False) + station: Path | None = None + model_3D: Path | None = None + # H3DD algorithm parameters + weights: list[float] = [1.0, 1.0, 0.1] + priori_weight: list[float] = [1.0, 0.75, 0.5, 0.25, 0.0] + inv: int = 2 + damping_factor: float = 0.0 + rmscut: float = 1.0e-4 + max_iter: int = 5 + constrain_factor: float = 0.0 + joint_inv_with_single_event_method: int = 1 + consider_elevation: int = 0 + # Run configurations + runs: H3DDRunsConfig | None = None + + @model_validator(mode='after') + def validate_h3dd_config(self): + """Validate H3DD configuration.""" + if self.enabled: + # Required fields when enabled + if self.station is None: + raise ValueError('station is required when H3DD is enabled') + if self.model_3D is None: + raise ValueError('model_3D is required when H3DD is enabled') + # runs.first is required when enabled + if self.runs is None: + raise ValueError('runs configuration is required when H3DD is enabled') + # first run config cannot be empty (already enforced by H3DDRunsConfig) + return self + + def get_run_count(self) -> int: + """Get the number of runs to execute.""" + if self.runs is None: + return 0 + return 2 if self.runs.second is not None else 1 + + def get_run_config(self, run_index: int) -> H3DDSingleRunConfig | None: + """Get configuration for a specific run index (0 or 1).""" + if self.runs is None: + return None + if run_index == 0: + return self.runs.first + elif run_index == 1: + return self.runs.second + return None class MagConfig(BaseModel): - sac_parent_dir: Path - pz_dir: Path - station: Path - cpu_number: int + """Magnitude calculation configuration.""" + enabled: bool + # External input (if skipping H3DD) + dout_file: Path | None = None + # Required parameters (optional when enabled=False) + sac_parent_dir: Path | None = None + pz_dir: Path | None = None + station: Path | None = None + cpu_number: int = 40 + + @model_validator(mode='after') + def validate_required_when_enabled(self): + """Validate required fields when enabled.""" + if self.enabled: + if self.sac_parent_dir is None: + raise ValueError('sac_parent_dir is required when Magnitude is enabled') + if self.pz_dir is None: + raise ValueError('pz_dir is required when Magnitude is enabled') + if self.station is None: + raise ValueError('station is required when Magnitude is enabled') + return self + class DitingConfig(BaseModel): + enabled: bool + picks_csv: Path | None = None sac_parent_dir: Path | None = None - h5_parent_dir: Path | None = None cpu_number: int = 3 chunk_size: int = 50 - das_in_data: bool = False - type_judge: Callable[[str], bool] | None = default_type_judge - interval: int = 300 sampling_rate: float = 100.0 - need_resample: bool = False + need_resample: bool = True + # h5_parent_dir: Path | None = None + # das_in_data: bool = False + # type_judge: Callable[[str], bool] | None = default_type_judge + # interval: int = 300 + + # @model_validator(mode="after") + # def validate_type_judge_for_das(self): + # if self.das_in_data and self.type_judge is None: + # raise ValueError( + # "Diting.type_judge cannot be None when das_in_data=True. " + # "Set a callable or customize default_type_judge()." + # ) + # if self.das_in_data and self.type_judge is not None and self.type_judge is default_type_judge: + # # Trigger the default placeholder at config construction time. + # self.type_judge("STATION_ID_EXAMPLE") + # return self + + # @model_validator(mode='after') + # def validate_required_when_enabled(self): + # """Validate required fields when enabled.""" + # if self.enabled: + # if self.sac_parent_dir is None and self.h5_parent_dir is None: + # raise ValueError( + # 'Either sac_parent_dir or h5_parent_dir is required when Polarity is enabled' + # ) + # return self + + +class FocalConfig(BaseModel): + """GAfocal configuration.""" + enabled: bool + # External input + dout_file: Path | None = None + + +# ============================================================================= +# Path Resolver (smart path detection) +# ============================================================================= +class PathResolver: + """ + Resolves input paths for pipeline components. + Priority: explicit path > auto-detect in result_path > raise error + """ + + def __init__(self, result_path: Path): + self.result_path = Path(result_path) + + def resolve_picks(self, explicit_path: Path | None = None) -> Path: + """Resolve picks CSV file path.""" + if explicit_path: + path = Path(explicit_path) + if path.exists(): + #TODO: 這裡不只檢查存在，應該順便檢查格式和內容是否合理（至少有event_id, phase, time等必要欄位） + return path + raise FileNotFoundError(f'Explicit picks_csv not found: {explicit_path}') + + # # Auto-detect candidates + # candidates = [ + # self.result_path / 'phase_picks.csv', + # self.result_path / 'picks_phasenet.csv', + # self.result_path / 'gamma_picks.csv', + # ] + # for candidate in candidates: + # if candidate.exists(): + # logger.info(f'Auto-detected picks file: {candidate}') + # return candidate + + # raise FileNotFoundError( + # f'Cannot find picks CSV in {self.result_path}. ' + # f'Searched: {[c.name for c in candidates]}' + # ) + + def resolve_gamma_picks(self, explicit_path: Path | None = None) -> Path: + """Resolve GaMMA picks CSV file path.""" + if explicit_path: + path = Path(explicit_path) + if path.exists(): + #TODO: 這裡不只檢查存在，應該順便檢查格式和內容是否合理（至少有event_id, phase, time等必要欄位） + return path + raise FileNotFoundError(f'Explicit picks_csv not found: {explicit_path}') + + # candidates = [ + # self.result_path / 'gamma_picks.csv', + # ] + # for candidate in candidates: + # if candidate.exists(): + # logger.info(f'Auto-detected GaMMA picks file: {candidate}') + # return candidate + + # raise FileNotFoundError( + # f'Cannot find GaMMA picks CSV in {self.result_path}. ' + # f'Searched: {[c.name for c in candidates]}' + # ) + + def resolve_gamma_events(self, explicit_path: Path | None = None) -> Path: + """Resolve GaMMA events CSV file path.""" + if explicit_path: + path = Path(explicit_path) + if path.exists(): + #TODO: 這裡不只檢查存在，應該順便檢查格式和內容是否合理（至少有event_id, latitude, longitude, depth, origin_time等必要欄位） + return path + raise FileNotFoundError(f'Explicit events_csv not found: {explicit_path}') + + # candidates = [ + # self.result_path / 'gamma_event.csv', + # self.result_path / 'gamma_events.csv', + # self.result_path / 'events.csv', + # ] + # for candidate in candidates: + # if candidate.exists(): + # logger.info(f'Auto-detected events file: {candidate}') + # return candidate + + # raise FileNotFoundError( + # f'Cannot find events CSV in {self.result_path}. ' + # f'Searched: {[c.name for c in candidates]}' + # ) + + def resolve_dout(self, explicit_path: Path | None = None, event_name: str | None = None) -> Path: + """Resolve dout file path.""" + if explicit_path: + path = Path(explicit_path) + if path.exists(): + #TODO: 這裡不只檢查存在，應該順便檢查格式和內容是否合理（至少有event_id, latitude, longitude, depth, origin_time等必要欄位） + return path + raise FileNotFoundError(f'Explicit dout_file not found: {explicit_path}') + + # # Try with event_name first + # if event_name: + # candidate = self.result_path / f'{event_name}.dout' + # if candidate.exists(): + # logger.info(f'Auto-detected dout file: {candidate}') + # return candidate + + # # Search for any .dout file + # dout_files = list(self.result_path.glob('*.dout')) + # if dout_files: + # # Sort by modification time, use most recent + # dout_files.sort(key=lambda x: x.stat().st_mtime, reverse=True) + # logger.info(f'Auto-detected dout file: {dout_files[0]}') + # return dout_files[0] + + # raise FileNotFoundError(f'Cannot find dout file in {self.result_path}') - @model_validator(mode="after") - def validate_type_judge_for_das(self): - if self.das_in_data and self.type_judge is None: - raise ValueError( - "Diting.type_judge cannot be None when das_in_data=True. " - "Set a callable or customize default_type_judge()." - ) - if self.das_in_data and self.type_judge is not None and self.type_judge is default_type_judge: - # Trigger the default placeholder at config construction time. - self.type_judge("STATION_ID_EXAMPLE") - return self -class MainConfig(BaseModel): +# ============================================================================= +# Run Configuration (single pipeline run) +# ============================================================================= +class RunConfig(BaseModel): + """Configuration for a single pipeline run.""" + name: str = 'default' result_path: Path - PhaseNet: PhaseNetConfigReceiver - GaMMA: GaMMAConfig - H3DD: H3DDConfig - Mag: MagConfig - Diting: DitingConfig + # Optional components (None or enabled=False means skip) + PhaseNet: PhaseNetConfigReceiver | None = None + GaMMA: GaMMAConfig | None = None + H3DD: H3DDConfig | None = None + Magnitude: MagConfig | None = None + Polarity: DitingConfig | None = None + Focal: FocalConfig | None = None + + @model_validator(mode='before') + @classmethod + def inject_result_path(cls, data: dict) -> dict: + """Inject pipeline result_path into PhaseNet config before construction.""" + if isinstance(data.get('PhaseNet'), dict): + data['PhaseNet']['result_path'] = data['result_path'] + return data + + def _check_result_path(self): + if self.result_path.exists() and any(self.result_path.iterdir()): + logger.warning(f"Result path '{self.result_path}' exists and is not empty.") + else: + self.result_path.mkdir(parents=True, exist_ok=True) + + def is_component_enabled(self, component_name: str) -> bool: + """Check if a component is enabled.""" + component = getattr(self, component_name, None) + if component is None: + return False + return getattr(component, 'enabled', False) # default as False to prevent unnecessary processing. + + @model_validator(mode='after') + def validate_dependencies(self): + """Validate that enabled components have required inputs.""" + self._check_result_path() + # GaMMA needs picks + if self.is_component_enabled('GaMMA'): + if not self.is_component_enabled('PhaseNet') and not self.GaMMA.picks_csv: + raise ValueError( + 'GaMMA is enabled but PhaseNet is not, and no picks_csv provided. ' + 'Set GaMMA.picks_csv to an explicit path or enable PhaseNet.' + ) + + # H3DD needs events and picks + if self.is_component_enabled('H3DD'): + if not self.is_component_enabled('GaMMA'): + if not self.H3DD.events_csv or not self.H3DD.picks_csv: + raise ValueError( + 'H3DD is enabled but GaMMA is not, and events_csv/picks_csv not fully provided. ' + 'Set H3DD.events_csv and H3DD.picks_csv explicitly, or enable GaMMA.' + ) + + # Magnitude needs dout + if self.is_component_enabled('Magnitude'): + if not self.is_component_enabled('H3DD') and not self.Magnitude.dout_file: + raise ValueError( + 'Magnitude is enabled but H3DD is not, and no dout_file provided. ' + 'Set Magnitude.dout_file to an explicit path, or enable H3DD.' + ) + + # Polarity needs picks + if self.is_component_enabled('Polarity'): + # Priority: GaMMA output > PhaseNet output > manual file. + # To avoid stale/wrong manual file usage, only allow manual file when + # both upstream producers are disabled. + if self.Polarity.picks_csv and ( + self.is_component_enabled('GaMMA') or self.is_component_enabled('PhaseNet') + ): + raise ValueError( + 'Polarity.picks_csv can only be set when both GaMMA and PhaseNet are disabled. ' + 'Set Polarity.picks_csv to null, or disable upstream components.' + ) + + if self.is_component_enabled('GaMMA'): + logger.info('Polarity will use picks from GaMMA output.') + elif self.is_component_enabled('PhaseNet'): + logger.info('Polarity will use picks from PhaseNet output.') + elif self.Polarity.picks_csv: + logger.info(f'Polarity will use manual picks from {self.Polarity.picks_csv}.') + else: + raise ValueError( + 'Polarity is enabled but no valid picks source is available. ' + 'Please enable GaMMA or PhaseNet, or provide Polarity.picks_csv.' + ) + + # Focal needs dout + polarity information + if self.is_component_enabled('Focal'): + if not self.is_component_enabled('H3DD') and not self.is_component_enabled('Polarity') and not self.Focal.dout_file: + raise ValueError( + 'Focal is enabled but H3DD and Polarity are not, and no dout_file provided. ' + 'Set Focal.dout_file to an explicit path, or enable H3DD and Polarity.' + ) + + return self + + +# ============================================================================= +# Batch Configuration (multiple runs) +# ============================================================================= +class BatchConfig(BaseModel): + """Configuration for batch execution of multiple pipeline runs.""" + configs: list[RunConfig] + + @model_validator(mode='before') + @classmethod + def handle_legacy_format(cls, data: dict) -> dict: + """Handle legacy single-config format for backward compatibility.""" + if 'configs' not in data: + # Legacy format: single config at root level + # Extract result_path and wrap as single RunConfig + logger.info('Detected legacy config format, converting to batch format.') + return {'configs': [data]} + return data # %% diff --git a/ParamConfig/params.json b/ParamConfig/params.json index 96f7a9f..fd3fedb 100644 --- a/ParamConfig/params.json +++ b/ParamConfig/params.json @@ -1,80 +1,113 @@ { - "result_path": "./tester", - "PhaseNet": { - "data_parent_dir": "test\\less_dataset", - "result_path": "\\archive_results", - "start": "20240402", - "end": "20240403", - "pz_dir": "PZ", - "data_list": null, - "hdf5_file": null, - "prefix": "", - "format": "SAC", - "dataset": "das", - "model": "phasenet", - "resume": "", - "backbone": "unet", - "phases": ["P", "S"], - "device": "cpu", - "workers": 0, - "batch_size": 1, - "use_deterministic_algorithms": true, - "amp": true, - "world_size": 1, - "dist_url": "env://", - "plot_figure": false, - "min_prob": 0.3, - "add_polarity": false, - "add_event": true, - "sampling_rate": 100.0, - "highpass_filter": 0.0, - "response_path": null, - "response_xml": null, - "subdir_level": 0, - "cut_patch": false, - "nt": 20480, - "nx": 5120, - "resample_time": false, - "resample_space": false, - "system": null, - "location": null, - "skip_existing": false - }, - "GaMMA": { - "station": "C:\\Users\\patri\\Desktop\\AutoQuake\\station.csv", - "velocity_model": "C:\\Users\\patri\\Desktop\\AutoQuake\\vel_model\\Hualien_1D.vel", - "center": [121.625, 24.0], - "xlim_degree": [121, 122.25], - "ylim_degree": [23.25, 24.75], - "min_p_picks_per_eq": 6, - "min_s_picks_per_eq": 2, - "eps": 17.0, - "cpu_number": 40, - "use_amplitude": false - }, - "H3DD": { - "num_of_times": 2, - "station": "C:\\Users\\patri\\Desktop\\AutoQuake\\station.csv", - "model_3D": "C:\\Users\\patri\\Desktop\\AutoQuake\\H3DD\\tomops_H14", - "cutoff_distance_for_first_h3dd": 0.0, - "event_name_for_first_h3dd" : "Relo_c0", - "cutoff_distance_for_second_h3dd": 2.0, - "event_name_for_second_h3dd" : "Relo_c0_c2" - }, - "Mag": { - "station": "C:\\Users\\patri\\Desktop\\AutoQuake\\station.csv", - "sac_parent_dir": "test", - "pz_dir": "C:\\Users\\patri\\Desktop\\AutoQuake\\PZ", - "cpu_number": 40 - }, - "Diting":{ - "sac_parent_dir": "test", - "h5_parent_dir": null, - "cpu_number": 15, - "chunk_size": 50, - "das_in_data": true, - "interval": 300, - "sampling_rate": 100.0, - "need_resample": false - } -} \ No newline at end of file + "configs": [ + { + "name": "full_pipeline_example", + "result_path": "./tester", + + "PhaseNet": { + "enabled": true, + "data_parent_dir": "test\\less_dataset", + "station_csv": "station.csv", + "start": "20240402", + "end": "20240403", + "pz_dir": "PZ", + "data_list": null, + "hdf5_file": null, + "prefix": "", + "format": "SAC", + "dataset": "das", + "model": "phasenet", + "resume": "", + "backbone": "unet", + "phases": ["P", "S"], + "device": "cpu", + "workers": 0, + "batch_size": 1, + "use_deterministic_algorithms": true, + "amp": true, + "world_size": 1, + "dist_url": "env://", + "plot_figure": false, + "min_prob": 0.3, + "add_polarity": false, + "add_event": true, + "sampling_rate": 100.0, + "highpass_filter": 0.0, + "response_path": null, + "response_xml": null, + "subdir_level": 0, + "cut_patch": false, + "nt": 20480, + "nx": 5120, + "resample_time": false, + "resample_space": false, + "system": null, + "location": null, + "skip_existing": false + }, + + "GaMMA": { + "enabled": true, + "picks_csv": null, + "station": "C:\\Users\\patri\\Desktop\\AutoQuake\\station.csv", + "velocity_model": "C:\\Users\\patri\\Desktop\\AutoQuake\\vel_model\\Hualien_1D.vel", + "center": [121.625, 24.0], + "xlim_degree": [121, 122.25], + "ylim_degree": [23.25, 24.75], + "min_p_picks_per_eq": 6, + "min_s_picks_per_eq": 2, + "eps": 17.0, + "cpu_number": 40, + "use_amplitude": false + }, + + "H3DD": { + "enabled": true, + "events_csv": null, + "picks_csv": null, + "station": "C:\\Users\\patri\\Desktop\\AutoQuake\\station.csv", + "model_3D": "C:\\Users\\patri\\Desktop\\AutoQuake\\H3DD\\tomops_H14", + "weights": [1.0, 1.0, 0.1], + "priori_weight": [1.0, 0.75, 0.5, 0.25, 0.0], + "inv": 2, + "damping_factor": 0.0, + "rmscut": 1.0e-4, + "max_iter": 5, + "constrain_factor": 0.0, + "joint_inv_with_single_event_method": 1, + "consider_elevation": 0, + "runs": { + "first": { + "event_name": "H3DD_1", + "cutoff_distances": 0.0 + }, + "second": { + "event_name": "H3DD_2", + "cutoff_distances": 2.0 + } + } + }, + + "Magnitude": { + "enabled": true, + "dout_file": null, + "station": "C:\\Users\\patri\\Desktop\\AutoQuake\\station.csv", + "sac_parent_dir": "test", + "pz_dir": "C:\\Users\\patri\\Desktop\\AutoQuake\\PZ", + "cpu_number": 40 + }, + + "Polarity": { + "enabled": true, + "picks_csv": null, + "sac_parent_dir": "test", + "cpu_number": 15 + }, + + "Focal": { + "enabled": true, + "dout_file": null + } + } + ] +} diff --git a/README.md b/README.md index c645d00..7f7df26 100644 --- a/README.md +++ b/README.md @@ -1,158 +1,108 @@ # AutoQuake -> **AutoQuake: An Automated, All-in-One Solution for Earthquake Catalog Generation.**: An object-oriented package that integrates each step of generating an earthquake catalog. The package connects each step as an object, making it easy to manage and streamline the process. +> **AutoQuake: An Automated, All-in-One Solution for Earthquake Catalog Generation.** + +AutoQuake connects every step of building an earthquake catalog into a single, configuration-driven pipeline: phase picking (**PhaseNet**) → association (**GaMMA**) → relocation (**H3DD**) → magnitude → first-motion polarity (**DiTingMotion**) → focal mechanism (**GAfocal**). You describe a run in one JSON file and launch it with a single command — no Python required. --- ## Table of Contents -- [Getting Started](#getting-started) -- [Installation](#installation) -- [Dataset Structure (both hdf5 for DAS and SAC for Seismometer)](#dataset-structure-both-hdf5-for-das-and-sac-for-seismometer) -- [Contributing](#contributing) -- [Roadmap](#roadmap) -- [License](#license) + +- [1. Install](#1-install) +- [2. Prepare your data](#2-prepare-your-data) +- [3. Configure your run](#3-configure-your-run) +- [4. Run](#4-run) +- [Helper function: prepare the focal input](#helper-function-prepare-the-focal-input) - [Submodules and External Dependencies](#submodules-and-external-dependencies) +- [License](#license) - [References](#references) - [Contact](#contact) --- -## Getting Started -To get started with this project, choose the scenario that best describes your needs: +## 1. Install -### 🚀 Quick Demo (Try the Demo Notebook) -Want to quickly explore AutoQuake without any setup? You have two options: +First initialize the bundled submodules, then create the environment. Conda is recommended because the pipeline depends on compiled Fortran binaries and scientific libraries. -**Option 1: GitHub Codespace (Recommended for Quick Testing)** +```bash +./init_submodules.sh +conda env create -f env.yml +conda activate AutoQuake +``` -1. Click the green "Code" button → "Codespaces" → "Create codespace on main" -2. Once the codespace loads, open `demo_autoquake.ipynb` and start exploring! +## 2. Prepare your data -**Option 2: Clone and Run Locally** -```bash -git clone https://github.com/IES-ESLab/AutoQuake.git -cd AutoQuake -# Follow installation steps below, then open demo_autoquake.ipynb +Organize your waveforms by date — each folder name must contain a `YYYYMMDD` token so it can be matched by glob. + +For seismometers (SAC): + +```text +/data_parent_dir/ + ├── 20240423/ # folder name contains YYYYMMDD + │ └── waveform.SAC # waveform data in SAC format ``` -### Scenario 1: Preliminary Users (Use Only) -![For Preliminary users](images/for_normal_user.png) -If you only want to use the package without contributing to the codebase, follow these simple steps: - -1. **Clone the repository and init the submodules (both HTTPS or SSH is fine)**: - ```bash - git clone git@github.com:IES-ESLab/AutoQuake.git - cd AutoQuake - ./init_submodules.sh # use sh to execute the script if powershell. - ``` -2. **Install dependecies**: Follow the installation instructions in the [Installation](#installation) section. -**Use the Package**: Follow the instructions in the Usage section to start generating earthquake catalogs. -**Report Issues**: If you encounter any problems or have suggestions for improvement, please [open or report an issue](https://github.com/IES-ESLab/AutoQuake/issues). Describe the problem in detail to help us address it quickly. -**Pull Updates**: Regularly pull updates from the original repository to keep your local copy synchronized and avoid conflicts. - ```bash - git pull origin main - ``` -### Scenario 2: Contributors (Recommended. Develop and Improve) -![For contributors](images/for_contributor.png) -If you’re interested in contributing to the development of this project, follow these steps: - -1. **Fork the repository**: Visit the GitHub page of the repository and click on "Fork" to create your own copy. -2. **Clone your forked repository and init the submodules (both HTTPS or SSH is fine)**: - ```bash - git clone https://github.com/your-username/AutoQuake.git # clone the dev branch - cd AutoQuake - ./init_submodules.sh # use sh to execute the script if powershell. - ``` -3. **Install dependecies**: Follow the installation instructions in the [Installation](#installation) section. -4. **Adding remote for original repository**: Connect your local repository to the original (upstream) repository to fetch updates. - ```bash - git remote add upstream https://github.com/IES-ESLab/AutoQuake.git - ``` -5. **Make your changes**: - ```bash - git add . - ``` -6. **commit** them: - ```bash - git commit -m "Description of your changes" - ``` -7. **Push your changes** when you want to update the remote repo on GitHub: - ```bash - git push origin main - ``` -**Pull Updates**: Regularly pull updates from the original repository to keep your local copy synchronized and avoid conflicts. - ```bash - git pull upstream main - ``` -**Open a Pull Request**: Once your changes are pushed, go to the original repository on GitHub and open a Pull Request from your branch to the dev branch of the main repository. -Read to our [Contributing](#contributing) section for more details on how to contribute to this project. -**Report Issues**: You can help resolving the issues. +## 3. Configure your run ---- +A run is described entirely by a JSON file — point each component at your data paths and tune its parameters. Copy `ParamConfig/params.json` as your starting template and edit the values to match your dataset. Every stage can be switched on or off, so you can run the full chain or only the parts you need. + +The file holds a `configs` list, so you can define **multiple runs in a single JSON** — for example one per date, region, or parameter set. They are executed in order, one after another: + +```json +{ + "configs": [ + { "name": "run_1", ... }, + { "name": "run_2", ... } + ] +} +``` + +## 4. Run -## Installation -This package supports both `requirements.txt` and `env.yml` for dependency management. Choose one of the following installation methods: - -### 1. Using Conda (`env.yml`, recommended) -If you’re using Conda, create a new environment directly from the provided `env.yml` file: - ```bash - conda env create -f env.yml - conda activate AutoQuake_v0 - ``` - -### 2. Using pip (`requirements.txt`) -To install dependencies using `pip`: - ```bash - pip install -r requirements.txt - ``` - -## Dataset Structure (Different data format in different data directory) -**Important**: For the package to function correctly, the dataset must follow a specific directory structure. Ensure your data is organized as follows: -For seismometer: - ```bash - /data_parent_dir/ - ├── \*YYYYMMDD\*/ # data folder should contain the Year-Month-Day format for glob. - │ └── waveform.SAC # Waveform data in SAC format - ``` -For DAS: - ```bash - /datat_parent_dir/ - ├── \*YYYYMMDD\*/ - │ └── MiDAS_20240402_86100_86400.h5 # Waveform data in h5 format - ``` - -## Roadmap -Here are the planned future improvements for this project: +Point the focal stage at the generated file by setting `"dout_file": "path/to/focal.dout"` in your config. If you have no magnitude results, leave `df_mag_event` and `df_mag_pick` as `None` and only the polarity information is written. -- **Refactoring Fortrans into Python**: Replace existing Fortran code with Python implementations for better maintainability and compatibility. -- **Integration with Existing Tools**: Integrate with popular seismic data processing tools and platforms. +--- + +## Submodules and External Dependencies + +This project relies on the following external repositories as submodules: + +1. [**EQNet**](https://github.com/IES-ESLab/EQNet): A forked repository contains the PhaseNet, PhaseNet-DAS. +2. [**GaMMA**](https://github.com/IES-ESLab/GaMMA): A forked repository contains the Gaussian Mixture Model for Earthquake Detection and Location. -The roadmap can adapt based on user feedback and new technology developments. If you’re interested in contributing to any of these features, check the [Contributing](#contributing) section. ## License + This project is licensed under the MIT License, which allows for reuse, modification, and distribution with minimal restrictions. See the [LICENSE](./LICENSE) file for the full MIT License text. ### Submodule Licenses + This repository includes third-party submodules and model with their own licensing terms: + 1. **GaMMA** - MIT License: Permissive license allowing free use, modification, and distribution. 2. **EQNet** - Academic and Commercial License: - This submodule is available for academic and research use only. For commercial use, a separate license is required. Contact the authors for more information. @@ -160,16 +110,13 @@ This repository includes third-party submodules and model with their own licensi 3. **DiTing-FOCALFLOW** - Announcements: - Users are free to make modifications to the programs to meet their particular needs, but are discouraged from distributing modified code to others without notification of the authors. If you find any part of the workflow useful, please cite our work or the corresponding publications of the packages. - - Dr. Xiao zhuowei designed and trained the DiTingMotion model,Dr. Zhang Miao provided the data download and preprocessing scripts,Zhao Yanna helped on obtaining and using the HASHpy2 code. Questions and comments? Email Ming Zhao (mn244224@dal.ca) + - Dr. Xiao zhuowei designed and trained the DiTingMotion model,Dr. Zhang Miao provided the data download and preprocessing scripts,Zhao Yanna helped on obtaining and using the HASHpy2 code. Questions and comments? Email Ming Zhao () Please review each submodule’s `LICENSE` file for detailed terms. -## Submodules and External Dependencies -This project relies on the following external repositories as submodules: -1. [**EQNet**](https://github.com/IES-ESLab/EQNet): A forked repository contains the PhaseNet, PhaseNet-DAS. -2. [**GaMMA**](https://github.com/IES-ESLab/GaMMA): A forked repository contains the Gaussian Mixture Model for Earthquake Detection and Location. -3. [**DataClient**](https://github.com/IES-ESLab/Fetch_data): A helper for fetching data through IESWS and GDMS, accout and password are needed. + ## References -- Yang, H.-Y., Huang, H.-H., Wu, E.-S., Chen, H.-A., Liu, C.-N., Hsu, Y.-F., Liang, W.-T., & Ku, C.-S (2025). **An ML-Enhanced Earthquake Catalog for the 2024 MW 7.4 Hualien Earthquake Sequence: Insights into Structural Transition from Collision to Subduction in Eastern Taiwan.** Manuscript under review. + +- Yang, H.-Y., Huang, H.-H., Wu, E.-S., Chen, H.-A., Liu, C.-N., Hsu, Y.-F., Liang, W.-T., & Ku, C.-S (2025). [**An ML-Enhanced Earthquake Catalog for the 2024 MW 7.4 Hualien Earthquake Sequence: Insights into Structural Transition from Collision to Subduction in Eastern Taiwan.**]( https://doi.org/10.1029/2025JB032792) Journal of Geophysical Research: Solid Earth, 130, e2025JB032792. https://doi.org/10.1029/2025JB032792. - Huang, H. H., Wu, Y. M., Song, X., Chang, C. H., Lee, S. J., Chang, T. M., & Hsieh, H. H. (2014). [**Joint Vp and Vs tomography of Taiwan: Implications for subduction-collision orogeny.**](https://www.sciencedirect.com/science/article/pii/S0012821X14000995?via%3Dihub) Earth Planet Science Letters, 392, 177–191. https://doi.org/10.1016/j.epsl.2014.02.026 - Hsu, Y. F., Huang, H. H., Huang, M. H., Tsai, V. C., Chuang, R. Y., Feng, K. F., & Lin, S. H. (2020). [**Evidence for Fluid Migration During the 2016 Meinong, Taiwan, Aftershock Sequence.**](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2020JB019994) Journal of Geophysical Research: Solid Earth. 125. 10.1029/2020JB019994. - Wu, Y. M., Zhao, L., Chang, C. H., & Hsu, Y. J. (2008). [**Focal-Mechanism Determination in Taiwan by Genetic Algorithm.**](https://pubs.geoscienceworld.org/ssa/bssa/article/98/2/651/350113/Focal-Mechanism-Determination-in-Taiwan-by-Genetic). Bulletin of the Seismological Society of America 2008;; 98 (2): 651–661. doi: https://doi.org/10.1785/0120070115 @@ -177,8 +124,10 @@ This project relies on the following external repositories as submodules: - Zhu, W., & Beroza, G. C. (2019). [**PhaseNet: A Deep-Neural-Network-Based Seismic Arrival Time Picking Method.**](https://academic.oup.com/gji/article/216/1/261/5129142) Geophysical Journal International, Volume 216, Issue 1, January 2019, Pages 261–273, https://doi.org/10.1093/gji/ggy423 - Zhu, W., McBrearty, I. W., Mousavi, S. M., Ellsworth, W. L., & Beroza, G. C. (2022). [**Earthquake Phase Association using a Bayesian Gaussian Mixture Model.**](https://agupubs.onlinelibrary.wiley.com/doi/full/10.1029/2021JB023249) Journal of Geophysical Research: Solid Earth, 127, e2021JB023249. https://doi.org/10.1029/2021JB023249 - Zhu, W., Biondi, E., Li, J., Yin, J., Ross, Z. E., & Zhan, Z. (2023). [**Seismic arrival-time picking on distributed acoustic sensing data using semi-supervised learning.**](https://www.nature.com/articles/s41467-023-43355-3) Nat Commun 14, 8192. https://doi.org/10.1038/s41467-023-43355-3 + ## Contact + If you have any questions or suggestions, feel free to reach out: + - **Email**: [patrick.yang880612@gmail.com](mailto:patrick.yang880612@gmail.com) - **GitHub**: [@Pamicoding](https://github.com/Pamicoding) - diff --git a/archive_predict.py b/archive_predict.py deleted file mode 100644 index af4b9ac..0000000 --- a/archive_predict.py +++ /dev/null @@ -1,33 +0,0 @@ -#%% -import json -import logging -from pathlib import Path -from autoquake.picker import parallel_run_phasenet -from ParamConfig.config_model import MainConfig - -# Path of config file -LOG_CONFIG = Path(__file__).parents[0].resolve() / 'log' / 'config.json' -PARAM_CONFIG = Path(__file__).parents[0].resolve() / 'ParamConfig' / 'params.json' -FETCH_CONFIG = Path(__file__).parents[0].resolve() / 'ParamConfig' / 'data_client.json' - -def setup_logging(): - with open(LOG_CONFIG, 'r') as f: - data = json.load(f) - log_config = data["LoggingConfig"] - logging.config.dictConfig(log_config) - -if __name__ == '__main__': - setup_logging() - - # Load config file - with open(PARAM_CONFIG, "r", encoding="utf-8") as f: - config_dict = json.load(f) - config = MainConfig(**config_dict) - - logging.info('Running PhaseNet...') - phasenet_config_list = config.PhaseNet.args_list - parallel_run_phasenet(phasenet_config_list) - - - -# %% diff --git a/autoquake/focal.py b/autoquake/focal.py index 3ab8316..b2e89ea 100644 --- a/autoquake/focal.py +++ b/autoquake/focal.py @@ -1,18 +1,18 @@ -import os +import shutil import subprocess from pathlib import Path class GAfocal: - def __init__(self, dout_file_name: str, result_path: Path): - self.dout_file = dout_file_name + def __init__(self, dout_path: Path, result_path: Path): + self.dout_path = Path(dout_path) self.main_dir = Path(__file__).parents[1] / 'GAfocal' self.result_path = result_path def run(self): + target = self.main_dir / self.dout_path.name + shutil.copy2(self.dout_path, target) subprocess.run( - ['./gafocal'], input=self.dout_file.encode() + b'\n', cwd=self.main_dir - ) - os.system( - f"cp {self.main_dir / 'results.txt'} {self.result_path / 'gafocal_catalog.txt'}" + ['./gafocal'], input=target.name.encode() + b'\n', cwd=self.main_dir ) + shutil.copy2(self.main_dir / 'results.txt', self.result_path / 'gafocal_catalog.txt') diff --git a/autoquake/magnitude.py b/autoquake/magnitude.py index 34e0873..9f9df59 100644 --- a/autoquake/magnitude.py +++ b/autoquake/magnitude.py @@ -409,6 +409,8 @@ def run_mag(self, use_das=False, processes=10): """ Spawn processes to run `get_mag` for multiple event indices in parallel. """ + #TODO: provide direct access for gamma_events.csv and gamma_picks.csv? + # or we can provide a help function to combine it into dout format. self.df_h3dd_events, self.df_h3dd_picks = process_h3dd( dout_file=self.dout_file, station_info=self.station_info ) diff --git a/autoquake/picker.py b/autoquake/picker.py index 44f7138..1229e87 100644 --- a/autoquake/picker.py +++ b/autoquake/picker.py @@ -1,6 +1,7 @@ from __future__ import annotations import argparse +import re import logging logger = logging.getLogger(__name__) import multiprocessing @@ -107,21 +108,6 @@ def picking_filter(picks: Path, filt_station: Path, output_dir: Path | None = No output_dir = picks.parent df_picks.to_csv(output_dir / 'filt_picks.csv', index=False) - @staticmethod - def picks_check( - picks: Path, - station: Path, - get_station=lambda x: str(x).split('.')[1], - output_dir=None, - ): - df_picks = pd.read_csv(picks) - df_sta = pd.read_csv(station) - df_picks['station_id'] = df_picks['station_id'].map(get_station) - df_picks = df_picks[df_picks['station_id'].isin(df_sta['station'])] - if output_dir is None: - output_dir = picks.parent - df_picks.to_csv(output_dir / 'check_picks.csv', index=False) - def postprocess(self, meta, output, polarity_scale=1, event_scale=16): nt, nx = meta['nt'], meta['nx'] data = meta['data'][:, :, :nt, :nx] diff --git a/autoquake/polarity.py b/autoquake/polarity.py index 1f54f8d..336fe14 100644 --- a/autoquake/polarity.py +++ b/autoquake/polarity.py @@ -333,14 +333,14 @@ class DitingMotion: def __init__( self, - gamma_picks: Path, + picks_csv: Path, model_path: Path = DITING_MODEL_PATH, output_dir: Path | None = None, sac_parent_dir: Path | None = None, h5_parent_dir: Path | None = None, interval: int = 300, sampling_rate: float = 100.0, - need_resample: bool = False, + need_resample: bool = True, chunk_size: int = 50, das_in_data: bool = False, type_judge: Callable[[str], bool] | None = None, @@ -348,7 +348,7 @@ def __init__( """Initialize DitingMotion polarity predictor. Args: - gamma_picks: Path to GaMMA picks CSV file. + picks_csv: Path to picks CSV file. model_path: Path to ONNX model file. output_dir: Output directory for results. sac_parent_dir: Parent directory for SAC files (seismometer data). @@ -363,7 +363,7 @@ def __init__( False if DAS. Only used when das_in_data=True. If not provided when das_in_data=True, all stations default to DAS. """ - self.gamma_picks = Path(gamma_picks) + self.picks_csv = Path(picks_csv) self.model_path = Path(model_path) self.output_dir = self._setup_output_dir(output_dir) self.sac_parent_dir = Path(sac_parent_dir) if sac_parent_dir else None @@ -395,12 +395,17 @@ def _setup_output_dir(self, output_dir: Path | None) -> Path: def _load_picks(self) -> pd.DataFrame: """Load picks CSV once at initialization.""" - return pd.read_csv(self.gamma_picks) + return pd.read_csv(self.picks_csv) def _filter_p_picks(self) -> pd.DataFrame: """Filter for P-phase picks with valid event indices.""" df = self._df_picks - mask = (df['phase_type'] == 'P') & (df['event_index'] != -1) + # Supporting picks_csv with or without event_index. + # Because only event_index would contain -1 for invalid picks. + if "event_index" in df.columns: + mask = (df['phase_type'] == 'P') & (df['event_index'] != -1) + else: + mask = (df['phase_type'] == 'P') return df[mask].copy() def _compute_station_types(self) -> dict[str, bool]: diff --git a/autoquake/utils.py b/autoquake/utils.py index f78f54b..f21ffc2 100644 --- a/autoquake/utils.py +++ b/autoquake/utils.py @@ -1,10 +1,11 @@ import multiprocessing as mp -import os +import os, re import calendar from pathlib import Path from datetime import datetime import pandas as pd from time import time +from multiprocessing.pool import Pool # Absolute path for GAfocal dir GAFOCAL_DIR = Path(__file__).parents[1].resolve() / 'GAfocal' @@ -113,13 +114,44 @@ def pseudo_picks_generator( return result_df + +_DELIM = re.compile(r'[._-]') +def extract_station_id(raw: str, station_ids: set) -> str: + """Match a SEED-style id against a reference set without assuming a fixed delimiter. + + Normalizes '.', '_', and '-' to '.' on both sides before checking dot-bounded + component membership, so 'TW.00.SHUL.HL', 'TW-00-SHUL-HL', and 'TW_00_SHUL_HL' + all resolve correctly to 'SHUL'. + + Edge case: if two components in the raw id both appear as station codes in the + reference (e.g. a network code that collides with a station code), the first + match wins. This is extremely unlikely in real seismic datasets. + """ + if raw in station_ids: + return raw + norm_raw = f'.{_DELIM.sub(".", str(raw))}.' + for sid in station_ids: + if f'.{_DELIM.sub(".", sid)}.' in norm_raw: + return sid + return raw + # Processing phasenet picks -def gamma_preprocessing(pickings: Path, output_dir: Path) -> Path: - df = pd.read_csv(pickings) - df['station_id'] = df['station_id'].map(lambda x: str(x).split('.')[1]) - output_path = output_dir/pickings.name - df.to_csv(output_path, index=False) - return output_path +def gamma_preprocessing( + picks: Path, + station: Path, + output_dir=None, + ): + df_picks = pd.read_csv(picks) + df_sta = pd.read_csv(station) + station_ids = set(df_sta['station']) + df_picks['station_id'] = df_picks['station_id'].apply( + lambda x: extract_station_id(str(x), station_ids) + ) + df_picks = df_picks[df_picks['station_id'].isin(station_ids)] + if output_dir is None: + output_dir = picks.parent + df_picks.to_csv(output_dir / 'phasenet_picks_for_gamma.csv', index=False) + return output_dir / 'phasenet_picks_for_gamma.csv' # Processing gamma catalog def classify_event(row, picks): @@ -350,6 +382,7 @@ def process_for_h3dd_twice( h3dd_picks_first = result_path / f'{event_name_1}_picks.csv' return h3dd_events_first, h3dd_picks_first +#NOTE: This function is not clean enough. def get_index_table(df: pd.DataFrame) -> pd.DataFrame: if 'h3dd_event_index' in df.columns: df_table = df.loc[:, ['event_index', 'h3dd_event_index']] @@ -361,7 +394,7 @@ def get_index_table(df: pd.DataFrame) -> pd.DataFrame: assert isinstance(df_table, pd.DataFrame) return df_table - +#NOTE: This function not used. def index_h3dd2gamma(df_table: pd.DataFrame, h3dd_index: int): if all(col in df_table.columns for col in ['event_index', 'h3dd_event_index']): return df_table[df_table['h3dd_event_index'] == h3dd_index]['event_index'].iloc[ @@ -440,11 +473,21 @@ def pol_mag_to_dout( ori_dout, df_pol: pd.DataFrame, output_dout, - df_mag_event=pd.DataFrame(), - df_mag_pick=pd.DataFrame(), + df_mag_event=pd.DataFrame() | None, + df_mag_pick=pd.DataFrame() | None, processes=min(20, os.cpu_count() / 2), - n_chunks=8 + n_chunks=8, + df_gamma_event: pd.DataFrame | None = None, # Support previous version ): + + def _gen_h3dd_index_for_pol(df_pol, df_gamma_event): + df = df_gamma_event.sort_values(by='time', key=lambda x: pd.to_datetime(x)) + df = df.reset_index(drop=True) + df['h3dd_event_index'] = df.index + index_map = dict(zip(df['event_index'], df['h3dd_event_index'])) + df_pol['h3dd_event_index'] = df_pol['event_index'].map(index_map) + return df_pol + def _split_file_by_events(filepath, n_chunks): """Split file into chunks, each starting with an event line""" with open(filepath) as f: @@ -466,9 +509,13 @@ def _split_file_by_events(filepath, n_chunks): return chunks + if df_gamma_event is not None: + print("Mapping h3dd_event_index for polarity DataFrame based on df_gamma_event.") + df_pol = _gen_h3dd_index_for_pol(df_pol, df_gamma_event) + chunks = _split_file_by_events(ori_dout, n_chunks=n_chunks) start = time() - if df_mag_event.empty or df_mag_pick.empty: + if df_mag_event is None or df_mag_pick is None: print("No magnitude data provided, only updating polarity.") args = [(chunk, start_idx, df_pol) for chunk, start_idx in chunks] with Pool(processes) as pool: diff --git a/demo_autoquake.ipynb b/demo_autoquake.ipynb index c124223..d81b5f2 100644 --- a/demo_autoquake.ipynb +++ b/demo_autoquake.ipynb @@ -2,18 +2,21 @@ "cells": [ { "cell_type": "markdown", - "id": "4c7ab431", "metadata": {}, "source": [ "## AutoQuake Demo - Complete Earthquake Catalog Generation\n", "---\n", - "***Welcome to the AutoQuake demonstration!*** \n", - "***This notebook will guide you through the complete earthquake catalog generation workflow:***\n", + "***Welcome to the AutoQuake demonstration!***\n", "\n", - "1. **Download sample seismic data**\n", + "AutoQuake is now driven by a **single JSON configuration**. Instead of wiring each\n", + "stage together by hand, you describe the whole run in one config object and let\n", + "`predict.run_pipeline` execute every stage and pass outputs downstream for you.\n", + "\n", + "This notebook walks through the complete earthquake-catalog workflow:\n", "\n", + "1. **Download sample seismic data**\n", "2. **Phase Detection** with `PhaseNet`\n", - "3. **Event Association** with `GaMMA` \n", + "3. **Event Association** with `GaMMA`\n", "4. **Relocation** with `H3DD`\n", "5. **Magnitude Estimation** with CWA standard\n", "6. **Polarity Determination** with `DiTingMotion`\n", @@ -21,68 +24,63 @@ "\n", "### ***Prerequisites***\n", "- Install the conda environment (`conda env create -f env.yml`), and select it for kernel\n", - "\n", "- Internet connection for downloading demo data\n", - "- Compile the H3DD and GAFocal\n", + "- Compile the H3DD and GAfocal binaries\n", + "\n", + "> **The whole pipeline runs from one config.** You can either build the config in\n", + "> Python (as below) or write it to a `.json` file and run it from the terminal:\n", + "> `python predict.py --config demo_config.json`\n", "\n", "---" ] }, { "cell_type": "markdown", - "id": "18c762e6", "metadata": {}, "source": [ - "### ***Step 1: Download Demo Data and Setup***\n", + "### ***Step 1: Setup and Download Demo Data***\n", "\n", - "First, let's download sample seismic data and import necessary modules." + "First, import the pipeline entry point and download the sample seismic data.\n", + "With the new interface you only need **two** AutoQuake imports:\n", + "`predict.run_pipeline` (the executor) and `BatchConfig` (the config validator)." ] }, { "cell_type": "code", "execution_count": 1, - "id": "0344478c", "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "All AutoQuake components imported successfully!\n" + "AutoQuake pipeline interface imported successfully!\n" ] } ], "source": [ - "import os\n", - "import shutil\n", + "import json\n", + "import logging\n", "import sys\n", "import tarfile\n", - "import requests\n", "from pathlib import Path\n", + "\n", "import pandas as pd\n", - "import matplotlib.pyplot as plt\n", + "import requests\n", "\n", - "# Add AutoQuake to path\n", + "# Make AutoQuake importable when running from the repo root\n", "sys.path.append('.')\n", "\n", - "# Import AutoQuake components (following predict.py structure)\n", - "from autoquake.picker import PhaseNet, run_predict\n", - "from autoquake.associator import GaMMA\n", - "from autoquake.focal import GAfocal\n", - "from autoquake.magnitude import Magnitude\n", - "from autoquake.polarity import DitingMotion\n", - "from autoquake.relocator import H3DD\n", - "from autoquake.utils import pol_mag_to_dout\n", + "# --- The only two imports the JSON pipeline needs ---\n", + "import predict\n", + "from ParamConfig.config_model import BatchConfig\n", "\n", - "from ParamConfig.config_model import PhaseNetConfigReceiver\n", - "\n", - "print(\"All AutoQuake components imported successfully!\")" + "print(\"AutoQuake pipeline interface imported successfully!\")" ] }, { "cell_type": "code", - "execution_count": 16, - "id": "7b95a3cd", + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -95,8 +93,7 @@ } ], "source": [ - "\n", - "# Demo Configuration - Set your parameters here!\n", + "# Demo data configuration\n", "record_id = \"17470233\"\n", "filename = \"toy_data.tgz\"\n", "\n", @@ -111,458 +108,8680 @@ " print(\"Downloaded!\")\n", "\n", " with tarfile.open(DEMO_DATA_DIR / filename, 'r:gz') as tar:\n", - " # Get all members and strip the first directory level\n", + " # Strip the leading 'toy_data/' directory level on extraction\n", " for member in tar.getmembers():\n", - " # Skip the root 'toy_data/' directory itself\n", - " if member.name == 'toy_data' or member.name == 'toy_data/':\n", - " continue \n", + " if member.name in ('toy_data', 'toy_data/'):\n", + " continue\n", " if member.name.startswith('toy_data/'):\n", - " member.name = member.name.replace('toy_data/', '', 1) # Remove first 'toy_data/'\n", + " member.name = member.name.replace('toy_data/', '', 1)\n", " tar.extract(member, DEMO_DATA_DIR)\n", " print(f\"Demo data extracted to '{DEMO_DATA_DIR}'\")\n", "except Exception as e:\n", " print(f\"Error: {e}\")\n", - " print(\"Please download manually from:\", DEMO_DATA_URL)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 19, - "id": "6f3c1257", - "metadata": {}, - "outputs": [], - "source": [ - "NCPU = 2\n", - "\n", - "RESULT_DIR = Path(\"demo_results\")\n", - "RESULT_DIR.mkdir(exist_ok=True)\n", - "\n", - "STATION = DEMO_DATA_DIR / \"station.csv\"\n", - "SAC_PARENT_DIR = DEMO_DATA_DIR / \"data\"\n", - "PZ_DIR = DEMO_DATA_DIR / \"PZ\"\n", - "H3DD_VEL_FILE = Path(\"./H3DD/tomops_H14\")" + " print(\"Please download manually from:\", DEMO_DATA_URL)" ] }, { "cell_type": "markdown", - "id": "11ce6627", - "metadata": {}, - "source": [ - "### ***Step 2: Phase Detection with PhaseNet***\n", - "\n", - "PhaseNet is a deep learning model that automatically detects P and S wave arrivals in seismic data. This is the first step in earthquake catalog generation." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "183e0591", "metadata": {}, - "outputs": [], "source": [ - "phasenet_config = PhaseNetConfigReceiver(\n", - " data_parent_dir=SAC_PARENT_DIR,\n", - " start=\"20240402\",\n", - " end=\"20240404\",\n", - " result_path=RESULT_DIR,\n", - " pz_dir=PZ_DIR,\n", - " min_prob=0.5 \n", - ")\n", - "\n", - "run_predict(phasenet_config.args_list)\n", + "### ***Step 2: Build the Pipeline Configuration***\n", "\n", - "phase_picks = PhaseNet.concat_picks(\n", - " date_list=['20240402', '20240403'],\n", - " result_path=RESULT_DIR,\n", - ")" - ] - }, - { - "cell_type": "markdown", - "id": "969916ce", - "metadata": {}, - "source": [ - "### ***Step 3: Event Association with GaMMA***\n", + "This is the heart of the new interface. Every stage is one block in a single\n", + "config dictionary. Each block has an `enabled` flag, and stages automatically\n", + "consume the previous stage's output (so the intermediate `picks_csv` /\n", + "`events_csv` / `dout_file` fields stay `null` here).\n", "\n", - "GaMMA (Gaussian Mixture Model Associator) groups individual phase picks into earthquake events using machine learning clustering techniques." + "The paths below point at the demo data we just downloaded." ] }, { "cell_type": "code", - "execution_count": 5, - "id": "a33961b3", + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "Splitting 2550 picks using eps=14.44\n", - "Splitting 2086 picks using eps=14.44\n", - "Splitting 1382 picks using eps=14.44\n", - "Splitting 2246 picks using eps=12.03\n", - "Splitting 2082 picks using eps=12.03\n", - "Associating 135 clusters with 40 CPUs\n", - ".......................................................................................................................................\n", - "Associated 100 events\n", - "\n", - "Associated 200 events\n" + "Configuration written to demo_config.json\n" ] } ], "source": [ - "def phasenet_station_name_processing(pickings: Path, output_dir: Path) -> Path:\n", - " shutil.copy(pickings, output_dir/f\"{pickings.stem}_original.csv\")\n", - " df = pd.read_csv(pickings)\n", - " df['station_id'] = df['station_id'].map(lambda x: str(x).split('.')[1])\n", - " output_path = output_dir/pickings.name\n", - " df.to_csv(output_path, index=False)\n", - " return output_path\n", + "# Resolved paths for the demo\n", + "RESULT_DIR = Path(\"demo_results\")\n", + "STATION = DEMO_DATA_DIR / \"station.csv\" # toy_data/station.csv\n", + "SAC_PARENT_DIR = DEMO_DATA_DIR / \"data\" # toy_data/data//...\n", + "PZ_DIR = DEMO_DATA_DIR / \"PZ\" # toy_data/PZ\n", + "GAMMA_VEL = Path(\"tests/vel_model/Hualien_1D.vel\") # 1-D model for GaMMA\n", + "H3DD_VEL_FILE = Path(\"H3DD/tomops_H14\") # 3-D model for H3DD\n", "\n", - "# Preprocessing for GaMMA (as in predict.py)\n", - "post_phasenet_pickings = phasenet_station_name_processing(\n", - " pickings=phase_picks,\n", - " output_dir=RESULT_DIR\n", - ")\n", + "config_dict = {\n", + " \"configs\": [\n", + " {\n", + " \"name\": \"demo\",\n", + " \"result_path\": str(RESULT_DIR),\n", "\n", - "# Initialize GaMMA with direct parameters\n", - "# choose number of processes: at most half of available CPUs, but not exceeding configured ncpu\n", - "avail_cpus = os.cpu_count() or NCPU\n", - "ncpu_to_use = min(max(1, avail_cpus // 2), NCPU)\n", + " # 1) Phase detection -------------------------------------------\n", + " \"PhaseNet\": {\n", + " \"enabled\": True,\n", + " \"data_parent_dir\": str(SAC_PARENT_DIR),\n", + " \"station_csv\": str(STATION),\n", + " \"start\": \"20240402\",\n", + " \"end\": \"20240404\", # exclusive -> processes 0402, 0403\n", + " \"pz_dir\": str(PZ_DIR),\n", + " \"format\": \"SAC\",\n", + " \"dataset\": \"das\",\n", + " \"model\": \"phasenet\",\n", + " \"device\": \"cpu\",\n", + " \"min_prob\": 0.5,\n", + " },\n", "\n", - "gamma = GaMMA(\n", - " station=STATION,\n", - " result_path=RESULT_DIR,\n", - " center=(121.625, 24.0),\n", - " xlim_degree=[121.0, 122.25],\n", - " ylim_degree=[23.25, 24.75],\n", - " pickings=post_phasenet_pickings,\n", - " min_p_picks_per_eq=6,\n", - " min_s_picks_per_eq=2,\n", - " dbscan_eps=17.33,\n", - " ncpu=ncpu_to_use,\n", - " use_amplitude=False\n", - ")\n", + " # 2) Association -----------------------------------------------\n", + " \"GaMMA\": {\n", + " \"enabled\": True,\n", + " \"picks_csv\": None, # use PhaseNet output\n", + " \"station\": str(STATION),\n", + " \"velocity_model\": str(GAMMA_VEL),\n", + " \"center\": [121.625, 24.0],\n", + " \"xlim_degree\": [121.0, 122.25],\n", + " \"ylim_degree\": [23.25, 24.75],\n", + " \"min_p_picks_per_eq\": 6,\n", + " \"min_s_picks_per_eq\": 2,\n", + " \"eps\": 17.33,\n", + " \"cpu_number\": 2,\n", + " \"use_amplitude\": False,\n", + " },\n", "\n", - "# Run event association\n", - "gamma.run_predict()" - ] - }, - { - "cell_type": "markdown", - "id": "5767aa4a", - "metadata": {}, - "source": [ - "### ***Step 4: Relocation with H3DD***\n", + " # 3) Relocation ------------------------------------------------\n", + " \"H3DD\": {\n", + " \"enabled\": True,\n", + " \"events_csv\": None, # use GaMMA output\n", + " \"picks_csv\": None,\n", + " \"station\": str(STATION),\n", + " \"model_3D\": str(H3DD_VEL_FILE),\n", + " \"runs\": {\n", + " \"first\": {\"event_name\": \"demo_c0\", \"cutoff_distances\": 0.0}\n", + " },\n", + " },\n", "\n", - "Relocation with Hypo-DD strengthen by 3D velocity models." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dc6b8834", - "metadata": {}, - "outputs": [], - "source": [ - "print(\"Running H3DD...\")\n", - "h3dd = H3DD(\n", - " gamma_event=gamma.get_events(),\n", - " gamma_picks=gamma.get_picks(),\n", - " result_path=RESULT_DIR,\n", - " station=STATION,\n", - " model_3d=H3DD_VEL_FILE,\n", - " event_name=\"demo_c0\",\n", - " cut_off_distance_for_dd=0.0\n", - ")\n", - "h3dd.run_h3dd()" - ] - }, - { - "cell_type": "markdown", - "id": "36e29fcb", - "metadata": {}, - "source": [ - "### ***Step 5: Magnitude Estimation***\n", + " # 4) Magnitude -------------------------------------------------\n", + " \"Magnitude\": {\n", + " \"enabled\": True,\n", + " \"dout_file\": None, # use H3DD output\n", + " \"station\": str(STATION),\n", + " \"sac_parent_dir\": str(SAC_PARENT_DIR),\n", + " \"pz_dir\": str(PZ_DIR),\n", + " \"cpu_number\": 2,\n", + " },\n", "\n", - "Calculate earthquake magnitudes with **regional specific magnitude empirical formula**." - ] - }, - { - "cell_type": "code", - "execution_count": null, - "id": "dbccca66", - "metadata": {}, - "outputs": [], - "source": [ - "mag = Magnitude(\n", - " dout_file=h3dd.get_dout(),\n", - " station=STATION,\n", - " sac_parent_dir=SAC_PARENT_DIR,\n", - " pz_dir=PZ_DIR,\n", - " output_dir=RESULT_DIR,\n", - ")\n", - "mag.run_mag(processes=2) # Use 2 processes for demo" - ] - }, - { - "cell_type": "markdown", - "id": "13b3b750", - "metadata": {}, - "source": [ - "### ***Step 6: DiTingMotion - Polarity determination***\n", + " # 5) Polarity --------------------------------------------------\n", + " \"Polarity\": {\n", + " \"enabled\": True,\n", + " \"picks_csv\": None, # use GaMMA output\n", + " \"sac_parent_dir\": str(SAC_PARENT_DIR),\n", + " \"cpu_number\": 2,\n", + " },\n", "\n", - "Analyze first-motion polarities for focal mechanism determination." - ] - }, - { - "cell_type": "code", - "execution_count": 40, - "id": "b32c3be0", - "metadata": {}, - "outputs": [], - "source": [ - "def type_judge(station: str):\n", - " \"\"\"\n", - " This is designed for determining station type based on its name.\n", - " Typically, DAS stations start with a number, while traditional seismic stations start with a letter.\n", - " \"\"\"\n", - " return station[0].isalpha()\n", + " # 6) Focal mechanism -------------------------------------------\n", + " \"Focal\": {\n", + " \"enabled\": True,\n", + " \"dout_file\": None, # use H3DD + Polarity output\n", + " },\n", + " }\n", + " ]\n", + "}\n", "\n", - "dt_polarity = DitingMotion(\n", - " gamma_picks=gamma.get_picks(),\n", - " output_dir=RESULT_DIR,\n", - " sac_parent_dir=SAC_PARENT_DIR,\n", - " type_judge=type_judge\n", - ")\n", - "dt_polarity.run_parallel_predict(processes=2)" + "# Optionally persist the config so it can also be run from the CLI:\n", + "# python predict.py --config demo_config.json\n", + "with open(\"demo_config.json\", \"w\", encoding=\"utf-8\") as f:\n", + " json.dump(config_dict, f, indent=4)\n", + "\n", + "print(\"Configuration written to demo_config.json\")" ] }, { "cell_type": "markdown", - "id": "f96e023e", "metadata": {}, "source": [ - "### ***Step 7: Focal Mechanism with GAfocal***\n", + "### ***Step 3: Validate and Inspect the Configuration***\n", "\n", - "GAfocal uses genetic algorithms to determine earthquake focal mechanisms from polarity data." + "`BatchConfig` validates the whole config with Pydantic (paths, required fields,\n", + "inter-stage dependencies) before anything runs. Below we load it and print which\n", + "components are enabled - the same summary `python predict.py --dry-run` shows." ] }, { "cell_type": "code", - "execution_count": null, - "id": "675b8a34", + "execution_count": 5, "metadata": {}, - "outputs": [], + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Config name : demo\n", + "Result path : demo_results\n", + "\n", + "Enabled components:\n", + " - PhaseNet : [+] enabled\n", + " - GaMMA : [+] enabled\n", + " - H3DD : [+] enabled\n", + " - Magnitude : [+] enabled\n", + " - Polarity : [+] enabled\n", + " - Focal : [+] enabled\n" + ] + } + ], "source": [ - "dout_file_name = pol_mag_to_dout(\n", - " ori_dout=h3dd.get_dout(),\n", - " result_path=RESULT_DIR,\n", - " gamma_event=gamma.get_events(),\n", - " polarity_picks=dt_polarity.get_picks(),\n", - " magnitude_events=mag.get_events(),\n", - " magnitude_picks=mag.get_picks()\n", - ")\n", + "batch_config = BatchConfig(**config_dict)\n", + "config = batch_config.configs[0]\n", "\n", - "# Run GAfocal genetic algorithm\n", - "print(\"Running genetic algorithm for focal mechanisms...\")\n", - "gafocal = GAfocal(\n", - " dout_file_name=dout_file_name,\n", - " result_path=RESULT_DIR\n", - ")\n", - "gafocal.run()" + "print(f\"Config name : {config.name}\")\n", + "print(f\"Result path : {config.result_path}\\n\")\n", + "print(\"Enabled components:\")\n", + "for component in [\"PhaseNet\", \"GaMMA\", \"H3DD\", \"Magnitude\", \"Polarity\", \"Focal\"]:\n", + " status = \"[+] enabled\" if config.is_component_enabled(component) else \"[-] disabled\"\n", + " print(f\" - {component:10s}: {status}\")" ] }, { "cell_type": "markdown", - "id": "79a2554d", - "metadata": {}, - "source": [ - "---\n", - "### ***Visualization***\n", - "\n", - "Here we simply display the beachball on the map" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "id": "bc5f154d", "metadata": {}, - "outputs": [], "source": [ - "%matplotlib inline\n", - "import numpy as np\n", - "\n", - "import matplotlib.pyplot as plt\n", - "from matplotlib.colors import LightSource\n", - "\n", - "import pygmt\n", - "import cartopy.crs as ccrs\n", - "from cartopy.mpl.geoaxes import GeoAxes\n", - "\n", - "from pyrocko import moment_tensor as pmt\n", - "from pyrocko.plot import beachball, mpl_color\n", - "\n", - "def check_hms_gafocal(hms: str):\n", - " \"\"\"\n", - " check whether the gafocal format's second overflow\n", - " \"\"\"\n", - " minute = int(hms[3:5])\n", - " second = int(hms[6:8])\n", - "\n", - " if second >= 60:\n", - " minute += second // 60\n", - " second = second % 60\n", + "### ***Step 4: Run the Full Pipeline***\n", "\n", - " fixed_hms = hms[:3] + f'{minute:02d}' + hms[5:6] + f'{second:02d}'\n", - " return fixed_hms\n", + "A single call runs all six stages in order, automatically feeding each stage's\n", + "output into the next. Progress is logged to the console and to\n", + "`demo_results/autoquake_demo.log`.\n", "\n", - "def txt_preprocessor(df: pd.DataFrame) -> pd.DataFrame:\n", - " df[1] = df[1].apply(check_hms_gafocal)\n", - " df['time'] = df[0].apply(lambda x: x.replace('/', '-')) + 'T' + df[1]\n", - " for col in [6, 8, 10]:\n", - " df[col] = df[col].map(lambda x: int(x.split('+')[0]))\n", - " df = df.rename(\n", - " columns={\n", - " 2: 'longitude',\n", - " 3: 'latitude',\n", - " 4: 'depth_km',\n", - " 5: 'magnitude',\n", - " 6: 'strike',\n", - " 7: 'strike_err',\n", - " 8: 'dip',\n", - " 9: 'dip_err',\n", - " 10: 'rake',\n", - " 11: 'rake_err',\n", - " 12: 'quality_index',\n", - " 13: 'num_of_polarity',\n", - " }\n", - " )\n", - " mask = [i for i in df.columns.tolist() if isinstance(i, str)]\n", - " df = df[mask]\n", - " return df\n", - "\n", - "def read_gafocal(gafocal_txt: str | Path) -> pd.DataFrame: \n", - " df = pd.read_csv(\n", - " gafocal_txt,\n", - " sep=r'\\s+',\n", - " header=None,\n", - " dtype={0: 'str', 1: 'str'},\n", - " )\n", - " df = txt_preprocessor(df) \n", - " return df\n", - "\n", - "def get_mapview(\n", - " region: list,\n", - " ax: GeoAxes,\n", - " cmap='gray',\n", - " hillshade=True,\n", - " resolution='15s',\n", - " vert_exag=10,\n", - " ):\n", - " # from matplotlib.colors import ListedColormap\n", - " \"\"\"## Plotting the basic map.\n", - "\n", - " Notice here, the ax should be a GeoAxes! A subclass of `matplotlib.axes.Axes`.\n", - " \"\"\"\n", - " topo = (\n", - " pygmt.datasets.load_earth_relief(resolution=resolution, region=region).to_numpy()\n", - " / 1e3\n", - " ) # km\n", - " x = np.linspace(region[0], region[1], topo.shape[1])\n", - " y = np.linspace(region[2], region[3], topo.shape[0])\n", - " xgrid, ygrid = np.meshgrid(x, y)\n", - " ls = LightSource(azdeg=0, altdeg=45)\n", - "\n", - " ax.pcolormesh(\n", - " xgrid,\n", - " ygrid,\n", - " ls.hillshade(topo, vert_exag=vert_exag, dx=1, dy=1) if hillshade else topo,\n", - " vmin=-1 if hillshade else None,\n", - " shading='gouraud',\n", - " cmap=cmap,\n", - " alpha=1.0,\n", - " antialiased=True,\n", - " rasterized=True,\n", - " )\n", - "\n", - " # cartopy setting\n", - " ax.coastlines()\n", - " ax.set_extent(region)\n", - "\n", - " gl = ax.gridlines(draw_labels=True)\n", - " gl.top_labels = False # Turn off top labels\n", - " gl.right_labels = False # Turn off top labels\n", - " gl.xlabel_style = {\n", - " 'weight': 'bold',\n", - " 'size': 10\n", - " }\n", - " gl.ylabel_style = {\n", - " 'rotation': 90,\n", - " 'weight': 'bold',\n", - " 'size': 10\n", - " }" + "This is exactly what `python predict.py --config demo_config.json` does\n", + "internally." ] }, { "cell_type": "code", - "execution_count": null, - "id": "2db49252", + "execution_count": 6, "metadata": {}, - "outputs": [], - "source": [ - "df = read_gafocal(RESULT_DIR / \"gafocal_results.txt\")\n", - "df_station = pd.read_csv(STATION)\n", - "\n", - "region = [\n", - " float(df['longitude'].min()) - 0.2,\n", - " float(df['longitude'].max()) + 0.1,\n", - " float(df['latitude'].min()) - 0.1,\n", - " float(df['latitude'].max()) + 0.1\n", - "]\n", - "\n", - "fig = plt.figure(figsize=(12, 18)) \n", - "geo_ax = fig.add_subplot(projection=ccrs.PlateCarree())\n", - "get_mapview(\n", - " region=region,\n", - " ax=geo_ax,\n", - ")\n", - "geo_ax.set_xlim(region[0], region[1])\n", - "geo_ax.set_ylim(region[2], region[3])\n", - "# Station\n", - "geo_ax.scatter(\n", - " df_station['longitude'],\n", - " df_station['latitude'],\n", - " s=50,\n", - " c='c',\n", - " marker='^',\n", - " edgecolors='k',\n", - " alpha=0.7,\n", - " rasterized=True,\n", - " label='Seismometer',\n", - " zorder=4,\n", - ")\n", - "# geo_ax.set_aspect('auto')\n", + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:11:55,373 - INFO - Starting pipeline run: demo\n", + "2026-06-18 15:11:55,374 - INFO - Running PhaseNet...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Total samples: toy_data/data/20240402/.SAC : 27 files\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "Predicting: 0%| | 0/27 [00:00=5000000: 15428764.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F059: {0: np.float64(61.30223399580492), 1: np.float64(86.483835214961)}\n", + "B078: {0: np.float64(341.7413425168535), 1: np.float64(175.83198559431173)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:19,575 - INFO - code == 0 stations for event0: {'WUSB'}\n", + "2026-06-18 15:16:19,576 - INFO - horizontal elements not enough stations for event0: {}\n", + "2026-06-18 15:16:19,577 - INFO - Event: 1 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM02: {0: np.float64(31.570087020073718), 1: np.float64(33.28902508313457)}\n", + "WPL: {0: np.float64(14.759632424221984), 1: np.float64(19.15855404366557)}\n", + "SM09: {0: np.float64(29.37519695553413), 1: np.float64(58.02138995393988)}\n", + "TDCB: {0: np.float64(10.56364066374853), 1: np.float64(10.145084621287047)}\n", + "SM39: {0: np.float64(67.3738757200519), 1: np.float64(91.058319358277)}\n", + "SM06: {0: np.float64(172.31824822166408), 1: np.float64(90.93857479936969)}\n", + "E037: {0: np.float64(91.10258356867546), 1: np.float64(86.5089568503338)}\n", + "SHUL: {0: np.float64(26.637958410971947), 1: np.float64(15.488372362902718)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:19,878 - INFO - code == 0 stations for event19: set()\n", + "2026-06-18 15:16:19,879 - INFO - horizontal elements not enough stations for event19: {}\n", + "2026-06-18 15:16:19,880 - INFO - Event: 20 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "E077: {0: np.float64(23.28315228295761), 1: np.float64(24.35086965080618)}\n", + "B148: {0: np.float64(13.598550420871845), 1: np.float64(17.46841822644498)}\n", + "E023: {0: np.float64(41.206863815829), 1: np.float64(31.407284495132)}\n", + "WPL: {0: np.float64(5.287223570024856), 1: np.float64(8.359289831612033)}\n", + "HOPB: {0: np.float64(130.09457091887433), 1: np.float64(148.7088204184283)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,036 - WARNING - time data '2024-04-03T00:04:54' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,037 - WARNING - time data '2024-04-03T00:05:14' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,046 - WARNING - time data '2024-04-03T00:04:54' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,048 - WARNING - time data '2024-04-03T00:05:14' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,054 - WARNING - time data '2024-04-03T00:04:54' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,055 - WARNING - time data '2024-04-03T00:05:14' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,056 - WARNING - time data '2024-04-03T00:03:14' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,057 - WARNING - time data '2024-04-03T00:06:54' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,068 - WARNING - time data '2024-04-03T00:04:54' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:20,069 - WARNING - time data '2024-04-03T00:05:14' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TDCB: {0: np.float64(5.032914720381652), 1: np.float64(10.154603377180573)}" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,069 - WARNING - time data '2024-04-03T00:03:14' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,070 - WARNING - time data '2024-04-03T00:06:54' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YHNB: {0: np.float64(41.69399508844113), 1: np.float64(66.70468687236155)}\n", + "ESL: {0: np.float64(24.202696460928546), 1: np.float64(28.678538260274408)}\n", + "B068: {0: np.float64(41.563018702808165), 1: np.float64(36.07903022891547)}\n", + "B138: {0: np.float64(72.14708819467765), 1: np.float64(75.46600019647512)}\n", + "SM06: {0: np.float64(47.81984380700341), 1: np.float64(57.293276863157914)}\n", + "C024: {0: np.float64(46.439202464967316), 1: np.float64(33.34759422081979)}\n", + "F059: {0: np.float64(95.62235232605455), 1: np.float64(65.21176322920499)}\n", + "B215: {0: np.float64(76.61178801687535), 1: np.float64(45.06037420096442)}\n", + "E077: {0: np.float64(25.324034942766716), 1: np.float64(28.864486059099903)}\n", + "GWUB: {0: np.float64(18.64337412483798), 1: np.float64(32.53412383465664)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,376 - INFO - code == 0 stations for event1: set()\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM09: {0: np.float64(64.7381718444301), 1: np.float64(106.54135967456837)}" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,377 - INFO - horizontal elements not enough stations for event1: {}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,378 - INFO - Event: 2 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WPL: {0: np.float64(10.320994263697324), 1: np.float64(17.651436273446766)}SM39: {0: np.float64(130.0112266924196), 1: np.float64(160.1677157896157)}\n", + "\n", + "SM02: {0: np.float64(60.434158326966745), 1: np.float64(44.805957040404245)}\n", + "SML: {0: np.float64(25.005553318225736), 1: np.float64(33.75741132325124)}\n", + "ESL: {0: np.float64(91.78439354674383), 1: np.float64(237.96875005851996)}\n", + "SM06: {0: np.float64(209.74748183350763), 1: np.float64(242.66135752418268)}\n", + "HWA: {0: np.float64(20.464641263428213), 1: np.float64(22.065508890566473)}\n", + "B090: {0: np.float64(24.819016921172302), 1: np.float64(20.92490887445115)}\n", + "WUSB: {0: np.float64(46.73096721398317), 1: np.float64(44.58066670506872)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,729 - INFO - code == 0 stations for event20: set()\n", + "2026-06-18 15:16:20,729 - INFO - horizontal elements not enough stations for event20: {}\n", + "2026-06-18 15:16:20,730 - INFO - Event: 21 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C024: {0: np.float64(25.46664162811538), 1: np.float64(28.95283399416853)}\n", + "WPL: {0: np.float64(17.96477569444357), 1: np.float64(52.629692694944545)}\n", + "EGC: {0: np.float64(102.1745326099444), 1: np.float64(134.8708741273076)}\n", + "YHNB: {0: np.float64(6.631771331532114), 1: np.float64(9.403326913479258)}\n", + "YUS: {0: np.float64(43.32564224919196), 1: np.float64(46.832003476057885)}\n", + "B090: {0: np.float64(32.078248309247954), 1: np.float64(24.46681630695123)}\n", + "ALS: {0: np.float64(19.076475036508604), 1: np.float64(21.89656067426262)}\n", + "SM39: {0: np.float64(711.3508864822965), 1: np.float64(787.0421679780668)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:20,994 - WARNING - time data '2024-04-03T00:07:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YUS: {0: np.float64(187.67422643197546), 1: np.float64(203.34506427021984)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:21,016 - WARNING - time data '2024-04-03T00:07:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:21,029 - WARNING - time data '2024-04-03T00:07:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:21,030 - WARNING - time data '2024-04-03T00:09:15' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:21,046 - WARNING - time data '2024-04-03T00:07:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:21,047 - WARNING - time data '2024-04-03T00:09:15' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SHUL: {0: np.float64(76.26029270771328), 1: np.float64(67.37916563437979)}\n", + "CHK: {0: np.float64(21.92557575033157), 1: np.float64(18.908940485730284)}\n", + "ECB: {0: np.float64(23.226365614034155), 1: np.float64(16.69436029893869)}\n", + "SML: {0: np.float64(71.24308724019556), 1: np.float64(112.97166927354097)}\n", + "EGFH: {0: np.float64(3.332677805319506), 1: np.float64(12.184674880649718)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:21,218 - INFO - code == 0 stations for event2: set()\n", + "2026-06-18 15:16:21,219 - INFO - horizontal elements not enough stations for event2: {}\n", + "2026-06-18 15:16:21,220 - INFO - Event: 3 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F059: {0: np.float64(127.82076464322947), 1: np.float64(200.83602710834313)}\n", + "ESL: {0: np.float64(34.1572409961774), 1: np.float64(42.35762759482181)}\n", + "NDS: {0: np.float64(8.819669883469535), 1: np.float64(8.282642717505459)}\n", + "ALS: {0: np.float64(44.45325568651122), 1: np.float64(29.445958717233673)}\n", + "SM06: {0: np.float64(213.93780966226484), 1: np.float64(89.39525074126469)}\n", + "E077: {0: np.float64(23.50615718066816), 1: np.float64(43.811126395958254)}\n", + "E023: {0: np.float64(18.716003756314805), 1: np.float64(23.928249916587674)}\n", + "SM09: {0: np.float64(150.61755967759578), 1: np.float64(244.13258734817026)}\n", + "HWA: {0: np.float64(119.1850253658449), 1: np.float64(74.72915956016541)}\n", + "HOPB: {0: np.float64(45.60186416848019), 1: np.float64(87.68049168538657)}ECB: {0: np.float64(23.376352687934908), 1: np.float64(24.29667961776629)}\n", + "\n", + "TPUB: {0: np.float64(7.081601547916209), 1: np.float64(10.37353718751303)}\n", + "EGC: {0: np.float64(132.87363813817484), 1: np.float64(58.400429543878204)}\n", + "TDCB: {0: np.float64(9.316562922616596), 1: np.float64(19.89827466943066)}\n", + "SM39: {0: np.float64(593.8198991092296), 1: np.float64(224.10551094071403)}\n", + "ESL: {0: np.float64(57.77375069691623), 1: np.float64(59.142700485454704)}\n", + "SM02: {0: np.float64(398.5768472306545), 1: np.float64(220.97869907927048)}\n", + "SM06: {0: np.float64(453.277058879241), 1: np.float64(319.40275275133166)}\n", + "SSLB: {0: np.float64(11.309847025977158), 1: np.float64(14.364303298755475)}\n", + "SM09: {0: np.float64(176.7141186651528), 1: np.float64(303.0455633656499)}\n", + "HWA: {0: np.float64(38.74069721493275), 1: np.float64(54.40316230615056)}\n", + "HOPB: {0: np.float64(38.71322028133991), 1: np.float64(64.68898134443396)}\n", + "NNSH: {0: np.float64(9.114853560005384), 1: np.float64(13.436488519604861)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:22,054 - INFO - code == 0 stations for event3: set()\n", + "2026-06-18 15:16:22,055 - INFO - horizontal elements not enough stations for event3: {}\n", + "2026-06-18 15:16:22,056 - INFO - Event: 4 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WUSB: {0: np.float64(65.94764152381234), 1: np.float64(91.41798955790114)}\n", + "B148: {0: np.float64(30.062504413733382), 1: np.float64(44.72177713478943)}\n", + "B148: {0: np.float64(32.04770832924691), 1: np.float64(36.02841783440714)}\n", + "WPL: {0: np.float64(18.161228209577867), 1: np.float64(21.72484842062408)}\n", + "FUSS: {0: np.float64(0.005551546943929829), 1: np.float64(17.061206824514343)}\n", + "B071: {0: np.float64(25.4979019224499), 1: np.float64(15.43276924739193)}\n", + "YULB: {0: np.float64(8.798988937605833), 1: np.float64(20.413790197300614)}\n", + "SM09: {0: np.float64(228.661654618548), 1: np.float64(436.68086287275804)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:22,303 - WARNING - time data '2024-04-03T00:25:27' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,304 - WARNING - time data '2024-04-03T00:25:47' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,312 - WARNING - time data '2024-04-03T00:25:27' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,313 - WARNING - time data '2024-04-03T00:25:47' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,320 - WARNING - time data '2024-04-03T00:25:27' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,320 - WARNING - time data '2024-04-03T00:25:47' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,321 - WARNING - time data '2024-04-03T00:23:47' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,322 - WARNING - time data '2024-04-03T00:27:27' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,333 - WARNING - time data '2024-04-03T00:25:27' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,334 - WARNING - time data '2024-04-03T00:25:47' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,334 - WARNING - time data '2024-04-03T00:23:47' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:22,335 - WARNING - time data '2024-04-03T00:27:27' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GWUB: {0: np.float64(11.458088427491932), 1: np.float64(22.325912232850968)}\n", + "B068: {0: np.float64(21.241842767510395), 1: np.float64(18.866570344713573)}\n", + "SM02: {0: np.float64(229.2693524061933), 1: np.float64(296.60977131289866)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:22,403 - INFO - code == 0 stations for event21: set()\n", + "2026-06-18 15:16:22,404 - INFO - horizontal elements not enough stations for event21: {}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM39: {0: np.float64(626.4038741744607), 1: np.float64(792.8944704932678)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:22,405 - INFO - Event: 22 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TDCB: {0: np.float64(6.049138328774632), 1: np.float64(9.428888237540964)}\n", + "CHK: {0: np.float64(40.42553699208064), 1: np.float64(56.74123678719996)}\n", + "ESL: {0: np.float64(17.10904213854268), 1: np.float64(12.973613559955831)}\n", + "SM02: {0: np.float64(207.61501197209915), 1: np.float64(152.83113423968052)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:22,567 - INFO - code == 0 stations for event4: set()\n", + "2026-06-18 15:16:22,568 - INFO - horizontal elements not enough stations for event4: {}\n", + "2026-06-18 15:16:22,569 - INFO - Event: 5 started\n" + ] + }, + { + "name": "stdout", + "output_type": 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15:16:27,414 - INFO - code == 0 stations for event27: set()\n", + "2026-06-18 15:16:27,415 - INFO - horizontal elements not enough stations for event27: {}\n", + "2026-06-18 15:16:27,416 - INFO - Event: 28 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YHNB: {0: np.float64(20.679211743954482), 1: np.float64(22.09726857474155)}\n", + "B090: {0: np.float64(269.80879867709876), 1: np.float64(250.4600218782283)}\n", + "FUSS: {0: np.float64(0.0036127001078051697), 1: np.float64(5.697617739684407)}\n", + "SM39: {0: np.float64(288.94143292002354), 1: np.float64(605.5270089763826)}\n", + "TDCB: {0: np.float64(2.151057792174701), 1: np.float64(2.742511187580356)}\n", + "YUS: {0: np.float64(58.451946220314966), 1: np.float64(54.902740020047744)}\n", + "ESL: {0: np.float64(7.5751844962900705), 1: np.float64(16.729412582853328)}\n", + "SML: {0: np.float64(49.07711138485485), 1: np.float64(39.455882182979)}\n", + "F059: {0: np.float64(140.22710820516434), 1: np.float64(130.67784352450394)}\n", + "SM06: {0: np.float64(32.63696336088313), 1: np.float64(31.252337155266492)}\n", + "B138: {0: np.float64(43.26536354209351), 1: np.float64(29.675088824345746)}\n", + "SM09: {0: np.float64(37.45860797445083), 1: np.float64(45.78306447268082)}\n", + "C024: {0: np.float64(29.83032081377929), 1: np.float64(32.67840457700135)}\n", + "SM39: {0: np.float64(90.50462377108674), 1: np.float64(72.94876175978075)}\n", + "ALS: {0: np.float64(303.21276213870766), 1: np.float64(244.51106024234818)}\n", + "B215: {0: np.float64(10.635119921391132), 1: np.float64(7.126488172681447)}\n", + "B045: {0: np.float64(21.377432134647375), 1: np.float64(31.964304711764633)}\n", + "SM02: {0: np.float64(33.05304619409066), 1: np.float64(33.41860091465047)}\n", + "TDCB: {0: np.float64(9.809645892067417), 1: np.float64(9.76683389414947)}\n", + "LATB: {0: np.float64(34.520986995515344), 1: np.float64(37.81135710115744)}\n", + "ESL: {0: np.float64(52.600989303257435), 1: np.float64(76.79069092794805)}\n", + "HWA: {0: np.float64(16.394342254687533), 1: np.float64(19.076796514698984)}\n", + "WUSB: {0: np.float64(12.48801566364772), 1: np.float64(11.944326593050265)}\n", + "SM06: {0: np.float64(125.4761483582052), 1: np.float64(286.9185361154419)}\n", + "E023: {0: np.float64(31.306249470236857), 1: np.float64(25.876228268491193)}\n", + "NNSH: {0: np.float64(5.181537051822576), 1: np.float64(4.869940912759669)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:28,249 - INFO - code == 0 stations for event28: set()\n", + "2026-06-18 15:16:28,250 - INFO - horizontal elements not enough stations for event28: {}\n", + "2026-06-18 15:16:28,251 - INFO - Event: 29 started\n", + "2026-06-18 15:16:28,269 - WARNING - time data '2024-04-03T00:17:21' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,270 - WARNING - time data '2024-04-03T00:17:41' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,278 - WARNING - time data '2024-04-03T00:17:21' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,279 - WARNING - time data '2024-04-03T00:17:41' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,285 - WARNING - time data '2024-04-03T00:17:21' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,286 - WARNING - time data '2024-04-03T00:17:41' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,287 - WARNING - time data '2024-04-03T00:15:41' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,288 - WARNING - time data '2024-04-03T00:19:21' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,298 - WARNING - time data '2024-04-03T00:17:21' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,299 - WARNING - time data '2024-04-03T00:17:41' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,300 - WARNING - time data '2024-04-03T00:15:41' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,301 - WARNING - time data '2024-04-03T00:19:21' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TDCB: {0: np.float64(1.2239051444980906), 1: np.float64(1.6434941651970574)}\n", + "SM09: {0: np.float64(279.33292713375965), 1: np.float64(598.4217444684717)}\n", + "ESL: {0: np.float64(18.778999125083107), 1: np.float64(28.096394236355394)}\n", + "HOPB: {0: np.float64(90.92962851772845), 1: np.float64(73.0948573444767)}\n", + "B078: {0: np.float64(19.51657552238001), 1: np.float64(15.138941863657124)}\n", + "SM06: {0: np.float64(46.6451077557091), 1: np.float64(65.98012363711187)}\n", + "WUSB: {0: np.float64(98.71213187952637), 1: np.float64(79.16503713102124)}\n", + "SSLB: {0: np.float64(2.53829950568154), 1: np.float64(4.4472003295359315)}\n", + "B148: {0: np.float64(33.75176175048909), 1: np.float64(37.03446385688564)}\n", + "F059: {0: np.float64(53.25367730834269), 1: np.float64(97.82395400148795)}\n", + "B189: {0: np.float64(20.471158683044184), 1: np.float64(11.616885059816024)}\n", + "SM09: {0: np.float64(46.851914877967104), 1: np.float64(45.34213455707942)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:28,634 - WARNING - time data '2024-04-03T00:30:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,643 - WARNING - time data '2024-04-03T00:30:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,650 - WARNING - time data '2024-04-03T00:30:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,651 - WARNING - time data '2024-04-03T00:32:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "E077: {0: np.float64(48.75723744990404), 1: np.float64(25.428553739241863)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:28,661 - WARNING - time data '2024-04-03T00:30:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:28,662 - WARNING - time data '2024-04-03T00:32:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM39: {0: np.float64(132.56753874088872), 1: np.float64(302.8595784805621)}\n", + "B068: {0: np.float64(24.166046974593446), 1: np.float64(25.613113275167983)}\n", + "SM02: {0: np.float64(54.17269329459964), 1: np.float64(54.80600065762555)}\n", + "B215: {0: np.float64(36.40982989130261), 1: np.float64(37.86969873681636)}\n", + "SM02: {0: np.float64(241.95846530085092), 1: np.float64(209.27060835015698)}\n", + "HWA: {0: np.float64(16.524341657724438), 1: np.float64(11.047859526683878)}\n", + "NNSH: {0: np.float64(15.48248022737106), 1: np.float64(15.29342157468121)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:28,921 - INFO - code == 0 stations for event10: set()\n", + "2026-06-18 15:16:28,922 - INFO - horizontal elements not enough stations for event10: {}\n", + "2026-06-18 15:16:28,923 - INFO - Event: 11 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WUSB: {0: np.float64(9.09898026379138), 1: np.float64(23.323487028077153)}\n", + "WPL: {0: np.float64(124.17343367327432), 1: np.float64(159.6651710640174)}\n", + "WFEN: {0: np.float64(174.46001523846797), 1: np.float64(126.13935989913311)}\n", + "EGFH: {0: np.float64(1.0736238034264853), 1: np.float64(1.160140130783837)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:29,044 - INFO - code == 0 stations for event29: set()\n", + "2026-06-18 15:16:29,045 - INFO - horizontal elements not enough stations for event29: {}\n", + "2026-06-18 15:16:29,046 - INFO - Event: 30 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YHNB: {0: np.float64(178.4522583138732), 1: np.float64(121.39294383560814)}\n", + "WPL: {0: np.float64(38.72711433379825), 1: np.float64(126.24473898320743)}\n", + "B090: {0: np.float64(270.164568323968), 1: np.float64(250.67332621904808)}\n", + "WCS: {0: np.float64(29.735722233052), 1: np.float64(23.592681234513325)}\n", + "SM39: {0: np.float64(2632.2662750105933), 1: np.float64(2437.3256522725137)}\n", + "G041: {0: 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np.float64(113.67628712643894), 1: np.float64(88.37221245953099)}\n", + "B045: {0: np.float64(278.73406974998164), 1: np.float64(221.10669753687128)}\n", + "HWA: {0: np.float64(147.61264959014434), 1: np.float64(145.22103197208085)}\n", + "HWA: {0: np.float64(427.8574697277038), 1: np.float64(544.1707048570219)}\n", + "ECB: {0: np.float64(59.48614838012844), 1: np.float64(58.339341480993156)}\n", + "ECB: {0: np.float64(207.03589264084536), 1: np.float64(249.21881647433852)}\n", + "TDCB: {0: np.float64(35.9815498130839), 1: np.float64(46.337750299734104)}\n", + "TDCB: {0: np.float64(61.94414085187405), 1: np.float64(100.9453016438249)}\n", + "ESL: {0: np.float64(174.52936239060742), 1: np.float64(146.47241034691768)}\n", + "ESL: {0: np.float64(295.5764898647869), 1: np.float64(297.3225586687465)}\n", + "SM06: {0: np.float64(436.57382348046167), 1: np.float64(540.598951093273)}\n", + "SM06: {0: np.float64(1050.9392842810691), 1: np.float64(684.2462386054283)}\n", + "E023: {0: np.float64(155.53950365783083), 1: np.float64(203.66391831195494)}\n", + "WDLH: {0: np.float64(60.341196868225445), 1: np.float64(83.25369029102553)}\n", + "WUSB: {0: np.float64(171.1219447128688), 1: np.float64(184.86069327131528)}SM09: {0: np.float64(1074.4637373796509), 1: np.float64(1687.3742375405873)}\n", + "\n", + "B148: {0: np.float64(92.31642133805578), 1: np.float64(201.46178920553015)}\n", + "HOPB: {0: np.float64(1208.379606148019), 1: np.float64(1063.8998006532292)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:30,349 - WARNING - Code 0: Amplitude of WUSB with seis type H >=5000000: 9241718.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B189: {0: np.float64(34.4753817582577), 1: np.float64(65.43859702431322)}\n", + "EGC: {0: np.float64(678.1851369690842), 1: np.float64(324.87341734348854)}\n", + "FUSS: {0: np.float64(0.059236648426600175), 1: np.float64(242.5654210618556)}\n", + "B215: {0: np.float64(133.01212572325366), 1: np.float64(106.53948791727974)}\n", + "EOS3: {0: np.float64(90.92595807874146), 1: np.float64(279.8536114895114)}\n", + "SM02: {0: np.float64(417.23581129689506), 1: np.float64(512.2209515693133)}\n", + "B189: {0: np.float64(154.32185748258058), 1: np.float64(109.06580509420782)}\n", + "E077: {0: np.float64(189.47917302610745), 1: np.float64(226.2122604914514)}\n", + "EGFH: {0: np.float64(9.11180705436152), 1: np.float64(11.674217464775603)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:30,622 - INFO - code == 0 stations for event30: set()\n", + "2026-06-18 15:16:30,622 - INFO - horizontal elements not enough stations for event30: {}\n", + "2026-06-18 15:16:30,623 - INFO - Event: 31 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WPL: {0: np.float64(108.69106602142736), 1: np.float64(112.90397404308726)}YULB: {0: np.float64(116.71028194318863), 1: np.float64(133.7903223828239)}\n", + "\n", + "B148: {0: np.float64(269.2171620785681), 1: np.float64(409.1901662964466)}\n", + "EGC: {0: np.float64(1347.371843017134), 1: np.float64(1131.8534287318682)}\n", + "ESL: {0: np.float64(943.9346833269354), 1: np.float64(719.3609494139688)}\n", + "SM02: {0: np.float64(976.0129922387922), 1: np.float64(859.704766470163)}\n", + "EGFH: {0: np.float64(32.68879503909495), 1: np.float64(36.092616512381646)}\n", + "SM06: {0: np.float64(2677.3946549955513), 1: np.float64(1525.5969459112496)}\n", + "SSLB: {0: np.float64(159.53873524997638), 1: np.float64(137.80812506994414)}\n", + "NNSH: {0: np.float64(167.7095879759609), 1: np.float64(299.5314125077079)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:30,956 - INFO - code == 0 stations for event11: {'WUSB'}\n", + "2026-06-18 15:16:30,956 - INFO - horizontal elements not enough stations for event11: {}\n", + "2026-06-18 15:16:30,957 - INFO - Event: 12 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F059: {0: np.float64(2530.3517641262347), 1: np.float64(4625.480973195414)}\n", + "WPL: {0: np.float64(17.761822294362442), 1: np.float64(25.07935427237404)}\n", + "E077: {0: np.float64(158.49649762416553), 1: np.float64(109.75294928052642)}\n", + "B148: {0: np.float64(37.662660099281375), 1: np.float64(34.33053760096454)}\n", + "B068: {0: np.float64(142.58177446740314), 1: np.float64(157.3180236568484)}\n", + "B090: {0: np.float64(203.7281562348918), 1: np.float64(227.12577446785718)}\n", + "FUSS: {0: np.float64(0.005686382366144147), 1: np.float64(18.5719510861836)}\n", + "SM39: {0: np.float64(3403.4665078793532), 1: np.float64(4290.199167571064)}\n", + "SML: {0: np.float64(62.233671463977146), 1: np.float64(59.35231469914353)}\n", + "YUS: {0: np.float64(404.8709066692412), 1: np.float64(572.8653241209082)}\n", + "ESL: {0: np.float64(113.22126693436824), 1: np.float64(161.0936320525264)}\n", + "ALS: {0: np.float64(240.18974389325777), 1: np.float64(296.3579067952634)}\n", + "CHK: {0: np.float64(265.22661074556436), 1: np.float64(466.3470940421092)}\n", + "SHUL: {0: np.float64(65.08273811463876), 1: np.float64(66.72519121071895)}\n", + "B071: {0: np.float64(23.715680866958415), 1: np.float64(17.937711607019192)}\n", + "SHUL: {0: np.float64(401.79230197951284), 1: np.float64(671.799056344701)}\n", + "F059: {0: np.float64(559.1111569850767), 1: np.float64(594.7880351149286)}\n", + "F002: {0: np.float64(557.4038762273285), 1: np.float64(581.2893758509779)}\n", + "B189: {0: np.float64(26.14888266950688), 1: np.float64(16.144095712700043)}\n", + "E077: {0: np.float64(47.59167021519604), 1: np.float64(54.348504625755126)}\n", + "EGFH: {0: np.float64(53.32936582813354), 1: np.float64(88.61544415744449)}\n", + "B078: {0: np.float64(157.47763249286774), 1: np.float64(147.78205926361932)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:31,733 - INFO - code == 0 stations for event31: set()\n", + "2026-06-18 15:16:31,734 - INFO - horizontal elements not enough stations for event31: {}\n", + "2026-06-18 15:16:31,735 - INFO - Event: 32 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B138: {0: np.float64(40.804226613675546), 1: np.float64(33.458777801397375)}\n", + "WPL: {0: np.float64(10.674169004531084), 1: np.float64(25.083291022824987)}\n", + "B068: {0: np.float64(43.33734306108156), 1: np.float64(46.93507047486625)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:31,817 - WARNING - time data '2024-04-03T00:18:31' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:31,827 - WARNING - time data '2024-04-03T00:18:31' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:31,833 - WARNING - time data '2024-04-03T00:18:31' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:31,834 - WARNING - time data '2024-04-03T00:16:51' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:31,846 - WARNING - time data '2024-04-03T00:18:31' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:31,847 - WARNING - time data '2024-04-03T00:16:51' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM39: {0: np.float64(179.25866560515703), 1: np.float64(177.69213703482276)}\n", + "EGC: {0: np.float64(185.93170334119), 1: np.float64(200.0878300088633)}\n", + "YUS: {0: np.float64(93.50532639034155), 1: np.float64(122.28821483656463)}\n", + "SM39: {0: np.float64(849.9872161720473), 1: np.float64(950.8962212076331)}\n", + "F002: {0: np.float64(27.416461136116503), 1: np.float64(32.4264852438241)}\n", + "YUS: {0: np.float64(63.19427768070864), 1: np.float64(74.40712487000633)}\n", + "SML: {0: np.float64(38.11152556856863), 1: np.float64(60.7330204099408)}\n", + "ALS: {0: np.float64(41.22084130115022), 1: np.float64(52.29671847298573)}\n", + "F059: {0: np.float64(108.58755891994731), 1: np.float64(95.94670967284392)}\n", + "SM02: {0: np.float64(337.18536770535013), 1: np.float64(267.6374708756425)}\n", + "B138: {0: np.float64(30.024458064188593), 1: np.float64(18.861266489200037)}WUSB: {0: np.float64(63.745922295475005), 1: np.float64(81.51115353780287)}\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:32,140 - INFO - code == 0 stations for event12: set()\n", + "2026-06-18 15:16:32,141 - INFO - horizontal elements not enough stations for event12: {}\n", + "2026-06-18 15:16:32,142 - INFO - Event: 13 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ALS: {0: np.float64(34.44926541097169), 1: np.float64(34.12018476673518)}\n", + "F002: {0: np.float64(15.821914625782176), 1: np.float64(19.828364247715015)}\n", + "ECB: {0: np.float64(46.35911807116255), 1: np.float64(34.806003311550434)}\n", + "B148: {0: np.float64(20.45580676277285), 1: np.float64(12.448145398043696)}\n", + "TDCB: {0: np.float64(4.8966155408654455), 1: np.float64(8.683539700596)}\n", + "SML: {0: np.float64(31.105828557694377), 1: np.float64(22.702800402129792)}\n", + "ESL: {0: np.float64(44.66236189448515), 1: np.float64(64.07657276629148)}\n", + "ESL: {0: np.float64(23.500594699698986), 1: np.float64(32.1498301292204)}\n", + "SM06: {0: np.float64(79.58820971487849), 1: np.float64(73.52488866010074)}\n", + "SM06: {0: np.float64(222.1232024214826), 1: np.float64(210.175300531208)}\n", + "SM09: {0: np.float64(60.464754107680776), 1: np.float64(100.66795873655653)}\n", + "WDLH: {0: np.float64(13.260923798026466), 1: np.float64(21.098978361611895)}\n", + "SHUL: {0: np.float64(18.08078962543672), 1: np.float64(16.13894562410838)}\n", + "WUSB: {0: np.float64(49.73811982024179), 1: np.float64(44.19347702479723)}\n", + "SSLB: {0: np.float64(8.472041103066996), 1: np.float64(6.489407537783428)}\n", + "B189: {0: np.float64(9.213941308971648), 1: np.float64(7.513843202692728)}\n", + "F059: {0: np.float64(55.17447080025079), 1: np.float64(60.857822628968734)}\n", + "B068: {0: np.float64(23.544324763806255), 1: np.float64(24.566569335464095)}\n", + "SM09: {0: np.float64(135.00953020454747), 1: np.float64(244.21931433782436)}\n", + "YULB: {0: np.float64(8.582325027762801), 1: np.float64(11.046277228376397)}\n", + "HOPB: {0: np.float64(12.100743800011118), 1: np.float64(14.817095453521311)}\n", + "EGC: {0: np.float64(105.00458446241963), 1: np.float64(93.73638856209857)}\n", + "EGC: {0: np.float64(31.56469915652235), 1: np.float64(48.1996978792606)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:32,906 - WARNING - time data '2024-04-03T00:19:15' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:32,916 - WARNING - time data '2024-04-03T00:19:15' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:32,922 - WARNING - time data '2024-04-03T00:19:15' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:32,923 - WARNING - time data '2024-04-03T00:17:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B078: {0: np.float64(11.684336372709597), 1: np.float64(19.065701211198682)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:32,933 - WARNING - time data '2024-04-03T00:19:15' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:32,934 - WARNING - time data '2024-04-03T00:17:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:32,934 - INFO - code == 0 stations for event32: set()\n", + "2026-06-18 15:16:32,935 - INFO - horizontal elements not enough stations for event32: {}\n", + "2026-06-18 15:16:32,936 - INFO - Event: 33 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM39: {0: np.float64(468.1175506229025), 1: np.float64(566.8364618867408)}\n", + "WPL: {0: np.float64(4.1279994693232105), 1: np.float64(4.763912229636415)}\n", + "YUS: {0: np.float64(11.379205720685087), 1: np.float64(15.104487290852994)}\n", + "SM39: {0: np.float64(141.87847558816185), 1: np.float64(163.6165761566778)}\n", + "GWUB: {0: np.float64(13.780679905551931), 1: np.float64(15.268247726076336)}\n", + "YUS: {0: np.float64(15.633140132338477), 1: np.float64(16.46012779020958)}\n", + "SM02: {0: np.float64(205.59733510439966), 1: np.float64(232.81241979372012)}\n", + "SHUL: {0: np.float64(21.476016613846436), 1: np.float64(17.315849376592777)}\n", + "HWA: {0: np.float64(79.06138095975558), 1: np.float64(100.87484207117153)}\n", + "F002: {0: np.float64(20.098960725547283), 1: np.float64(15.953373936058941)}\n", + "WUSB: {0: np.float64(28.440443122023954), 1: np.float64(26.538884821711044)}\n", + "SML: {0: np.float64(8.99948967010416), 1: np.float64(14.162114561050968)}" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:33,357 - INFO - code == 0 stations for event13: set()\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:33,358 - INFO - horizontal elements not enough stations for event13: {}\n", + "2026-06-18 15:16:33,359 - INFO - Event: 14 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WPL: {0: np.float64(4.717309009728118), 1: np.float64(6.569509052704641)}\n", + "F059: {0: np.float64(60.14589858279104), 1: np.float64(55.00854666116347)}\n", + "B148: {0: np.float64(9.073950704495575), 1: np.float64(9.629263454200819)}B045: {0: np.float64(8.033502163780023), 1: np.float64(5.205710512352372)}\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:33,489 - WARNING - time data '2024-04-03T00:20:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,491 - WARNING - time data '2024-04-03T00:20:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,499 - WARNING - time data '2024-04-03T00:20:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,500 - WARNING - time data '2024-04-03T00:20:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,507 - WARNING - time data '2024-04-03T00:20:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,508 - WARNING - time data '2024-04-03T00:20:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,508 - WARNING - time data '2024-04-03T00:18:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,509 - WARNING - time data '2024-04-03T00:22:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,520 - WARNING - time data '2024-04-03T00:20:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,521 - WARNING - time data '2024-04-03T00:20:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,521 - WARNING - time data '2024-04-03T00:18:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:33,522 - WARNING - time data '2024-04-03T00:22:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SML: {0: np.float64(8.249027090614506), 1: np.float64(12.430738750405698)}\n", + "SM06: {0: np.float64(35.065944858542544), 1: np.float64(46.94845560344518)}\n", + "HWA: {0: np.float64(11.913209573267741), 1: np.float64(16.118546399720007)}\n", + "B189: {0: np.float64(5.1105174421292725), 1: np.float64(4.752589152157839)}TDCB: {0: np.float64(3.0342786533108304), 1: np.float64(3.627158451751329)}\n", + "\n", + "ESL: {0: np.float64(15.41374111333814), 1: np.float64(17.17807570219185)}\n", + "E077: {0: np.float64(12.700842986018642), 1: np.float64(10.572075064026944)}\n", + "E023: {0: np.float64(17.540353094495853), 1: np.float64(11.058994446146173)}\n", + "SM06: {0: np.float64(68.6297122934571), 1: np.float64(60.89335677833261)}\n", + "HOPB: {0: np.float64(58.68284769642064), 1: np.float64(60.18979254833973)}\n", + 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15:16:49,318 - INFO - Event: 48 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WPL: {0: np.float64(1.975914389116284), 1: np.float64(1.9669011092531339)}\n", + "WPL: {0: np.float64(245.98761234378495), 1: np.float64(208.01168481665485)}\n", + "TDCB: {0: np.float64(1.9397853846646669), 1: np.float64(2.5371670205636323)}\n", + "F042: {0: np.float64(285.73744951500987), 1: np.float64(309.46455725166845)}\n", + "LATB: {0: np.float64(3.8169082185166476), 1: np.float64(3.999717234806938)}\n", + "YHNB: {0: np.float64(184.7556941895152), 1: np.float64(182.97896713207788)}\n", + "E023: {0: np.float64(3.3401121518569323), 1: np.float64(4.885334282114147)}\n", + "SM39: {0: np.float64(8621.23330289743), 1: np.float64(5868.003839144906)}\n", + "HOPB: {0: np.float64(15.664545883952181), 1: np.float64(16.850087173094526)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:49,610 - WARNING - time data '2024-04-03T00:47:02' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,611 - WARNING - time data '2024-04-03T00:47:42' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YHNB: {0: np.float64(4.6666716414775795), 1: np.float64(4.23064224415368)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:49,624 - WARNING - time data '2024-04-03T00:47:02' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,625 - WARNING - time data '2024-04-03T00:47:42' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,633 - WARNING - time data '2024-04-03T00:47:02' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,633 - WARNING - time data '2024-04-03T00:47:42' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,634 - WARNING - time data '2024-04-03T00:45:22' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,634 - WARNING - time data '2024-04-03T00:49:22' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,645 - WARNING - time data '2024-04-03T00:47:02' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,646 - WARNING - time data '2024-04-03T00:47:42' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,647 - WARNING - time data '2024-04-03T00:45:22' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:16:49,648 - WARNING - time data '2024-04-03T00:49:22' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + 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np.float64(2.8997223700518036)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:50,138 - INFO - code == 0 stations for event61: set()\n", + "2026-06-18 15:16:50,139 - INFO - horizontal elements not enough stations for event61: {}\n", + "2026-06-18 15:16:50,140 - INFO - Event: 62 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HWA: {0: np.float64(1396.1216026351544), 1: np.float64(994.0421152600686)}\n", + "F002: {0: np.float64(9.529699003591139), 1: np.float64(10.00941305465587)}\n", + "TDCB: {0: np.float64(123.06151977339479), 1: np.float64(168.67985504541218)}\n", + "TDCB: {0: np.float64(1.6194252922537113), 1: np.float64(1.907106035782124)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:50,281 - WARNING - Code 0: Amplitude of LATB with seis type H >=5000000: 9785735.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ESL: 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15:16:50,890 - INFO - Event: 49 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ESL: {0: np.float64(5.648831955691216), 1: np.float64(5.552206153509459)}\n", + "SM06: {0: np.float64(28.25022339847589), 1: np.float64(24.1391241586156)}\n", + "HWA: {0: np.float64(7.767232722341457), 1: np.float64(12.414078674982786)}\n", + "E037: {0: np.float64(23.642222007096837), 1: np.float64(21.380673578541636)}\n", + "E023: {0: np.float64(10.42229409386355), 1: np.float64(8.281383416427612)}\n", + "NNSH: {0: np.float64(2.49020984858013), 1: np.float64(3.961342643216084)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:16:51,153 - INFO - code == 0 stations for event62: set()\n", + "2026-06-18 15:16:51,154 - INFO - horizontal elements not enough stations for event62: {}\n", + "2026-06-18 15:16:51,155 - INFO - Event: 63 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM09: {0: 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"2026-06-18 15:17:03,733 - WARNING - time data '2024-04-03T01:08:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:03,744 - WARNING - time data '2024-04-03T01:06:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:03,745 - WARNING - time data '2024-04-03T01:06:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:03,746 - WARNING - time data '2024-04-03T01:04:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:03,746 - WARNING - time data '2024-04-03T01:08:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GWUB: {0: np.float64(10.2062914506372), 1: np.float64(11.8624057880974)}\n", + "SM06: {0: np.float64(65.06894723532525), 1: np.float64(73.05826784176304)}\n", + "SM02: {0: 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data '2024-04-03T01:19:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:07,715 - WARNING - time data '2024-04-03T01:19:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:07,716 - WARNING - time data '2024-04-03T01:19:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:07,725 - WARNING - time data '2024-04-03T01:19:35' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:07,726 - WARNING - time data '2024-04-03T01:19:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:07,727 - WARNING - time data '2024-04-03T01:17:55' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YUS: {0: np.float64(14.14842864515669), 1: np.float64(22.262425224531434)}" 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'%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:10,566 - WARNING - time data '2024-04-03T01:22:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:10,576 - WARNING - time data '2024-04-03T01:22:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:10,577 - WARNING - time data '2024-04-03T01:24:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:10,590 - WARNING - time data '2024-04-03T01:22:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:10,591 - WARNING - time data '2024-04-03T01:24:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM06: {0: np.float64(28.9050338551414), 1: np.float64(22.8854761530708)}\n", + "NNSH: {0: np.float64(223.97050047568484), 1: np.float64(137.46367932307322)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:10,609 - INFO - code == 0 stations for event78: {'LATB', 'HOPB'}\n", + "2026-06-18 15:17:10,610 - INFO - horizontal elements not enough stations for event78: {}\n", + "2026-06-18 15:17:10,611 - INFO - Event: 79 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F059: {0: np.float64(23.109512648376477), 1: np.float64(20.656967220121615)}\n", + "ESL: {0: np.float64(340.8489106076243), 1: np.float64(304.73714481201904)}\n", + "SM09: {0: np.float64(41.44597146526993), 1: np.float64(42.31623519693295)}\n", + "SM06: {0: np.float64(1699.927568863431), 1: np.float64(1234.7985362458617)}\n", + "HOPB: {0: np.float64(7.2664898911636735), 1: np.float64(5.0225495106246285)}\n", + "E037: {0: np.float64(1277.5388634761723), 1: np.float64(1556.1092030395744)}\n", + "SM39: {0: np.float64(78.13066877603484), 1: np.float64(64.40586496655841)}\n", + "E004: {0: np.float64(1658.938690213458), 1: np.float64(1067.8456003196159)}\n", + "SM02: {0: np.float64(25.554243343411464), 1: np.float64(23.5133393245643)}\n", + "SM09: {0: np.float64(1059.4602239738665), 1: np.float64(1292.1054702821991)}\n", + "SM39: {0: np.float64(2268.795229608616), 1: np.float64(2402.394652379632)}\n", + "B215: {0: np.float64(488.5266316618378), 1: np.float64(312.42567449532567)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:11,033 - INFO - code == 0 stations for event79: set()\n", + "2026-06-18 15:17:11,034 - INFO - horizontal elements not enough stations for event79: {}\n", + "2026-06-18 15:17:11,035 - INFO - Event: 80 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "HWA: {0: np.float64(13.814345626222249), 1: np.float64(9.701918934816659)}\n", + "WPL: {0: np.float64(6.986649486039086), 1: np.float64(9.050962916023556)}\n", + "EWT: {0: np.float64(1.9420222832611984), 1: np.float64(2.5336470551242933)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:11,122 - INFO - code == 0 stations for event96: set()\n", + "2026-06-18 15:17:11,123 - INFO - horizontal elements not enough stations for event96: {}\n", + "2026-06-18 15:17:11,124 - INFO - Event: 97 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WFEN: {0: np.float64(11.192554499881709), 1: np.float64(11.140427930657133)}\n", + "YHNB: {0: np.float64(16.98581542921162), 1: np.float64(12.18186981035377)}\n", + "SM06: {0: np.float64(8.655540534221695), 1: np.float64(11.050175574000015)}\n", + "B090: {0: np.float64(10.604425960308483), 1: np.float64(10.773225294108009)}\n", + "SM39: {0: np.float64(206.65898049332418), 1: np.float64(188.04612122302103)}\n", + "SHUL: {0: np.float64(4.418920098237278), 1: np.float64(3.079049175428346)}\n", + "YUS: {0: np.float64(17.62593513404542), 1: 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{0: np.float64(30.795951897892014), 1: np.float64(36.35289212494284)}\n", + "FUSS: {0: np.float64(0.003118609414454139), 1: np.float64(4.57998980575451)}\n", + "TDCB: {0: np.float64(5.8188705950056), 1: np.float64(7.998820514272281)}\n", + "SML: {0: np.float64(12.621423376924705), 1: np.float64(10.720675869615054)}\n", + "ESL: {0: np.float64(16.04846841615123), 1: np.float64(23.172002242568524)}\n", + "ESL: {0: np.float64(12.157909590384769), 1: np.float64(14.113400479925334)}\n", + "SSLB: {0: np.float64(4.398055476949106), 1: np.float64(5.59932256017844)}\n", + "SM09: {0: np.float64(91.91068401806162), 1: np.float64(149.17672883681175)}\n", + "SM06: {0: np.float64(42.574828372596855), 1: np.float64(49.762549054021825)}\n", + "HOPB: {0: np.float64(76.75591393320117), 1: np.float64(59.036555496639195)}\n", + "B071: {0: np.float64(3.536852676303956), 1: np.float64(2.805139884292684)}\n", + "WUSB: {0: np.float64(20.037828604729253), 1: np.float64(24.31841482026357)}\n", + "TDCB: {0: 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np.float64(74.83544853910928), 1: np.float64(75.8131020606947)}\n", + "EGFH: {0: np.float64(2.4137128702858206), 1: np.float64(3.023568605360779)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:12,927 - INFO - code == 0 stations for event80: set()\n", + "2026-06-18 15:17:12,928 - INFO - horizontal elements not enough stations for event80: {}\n", + "2026-06-18 15:17:12,929 - INFO - Event: 81 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM02: {0: np.float64(38.54742990494436), 1: np.float64(52.72671181826675)}\n", + "SM39: {0: np.float64(363.59457947685144), 1: np.float64(653.8489336050415)}\n", + "YUS: {0: np.float64(8.885433885895434), 1: np.float64(11.421697528766641)}\n", + "HWA: {0: np.float64(13.941980106335608), 1: np.float64(10.630534354353154)}\n", + "EWT: {0: np.float64(5.837682584899483), 1: np.float64(6.999265518099374)}\n", + "SHUL: {0: np.float64(12.229155818658759), 1: np.float64(18.733116738911754)}\n", + "WUSB: {0: np.float64(10.691581716018879), 1: np.float64(17.480941186021038)}F059: {0: np.float64(65.35020394790591), 1: np.float64(80.181363995529)}\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:13,260 - INFO - code == 0 stations for event98: set()\n", + "2026-06-18 15:17:13,261 - INFO - horizontal elements not enough stations for event98: {}\n", + "2026-06-18 15:17:13,262 - INFO - Event: 99 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B138: {0: np.float64(11.527621310384509), 1: np.float64(7.674696622096469)}\n", + "WPL: {0: np.float64(1.6558974465480212), 1: np.float64(2.207878803943867)}\n", + "SML: {0: np.float64(4.3601691670056555), 1: np.float64(8.64831061130277)}\n", + "NDS: {0: np.float64(11.30478768040218), 1: np.float64(11.023005551275466)}\n", + "ESL: {0: np.float64(19.13155731854243), 1: np.float64(27.518109318947715)}\n", + "C024: {0: 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"stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:13,925 - WARNING - time data '2024-04-03T01:23:56' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,927 - WARNING - time data '2024-04-03T01:24:16' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,936 - WARNING - time data '2024-04-03T01:23:56' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,937 - WARNING - time data '2024-04-03T01:24:16' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,943 - WARNING - time data '2024-04-03T01:23:56' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,944 - WARNING - time data '2024-04-03T01:24:16' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,945 - WARNING - time data '2024-04-03T01:22:16' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,947 - WARNING - time data '2024-04-03T01:25:56' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,958 - WARNING - time data '2024-04-03T01:23:56' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,958 - WARNING - time data '2024-04-03T01:24:16' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,959 - WARNING - time data '2024-04-03T01:22:16' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:13,960 - WARNING - time data '2024-04-03T01:25:56' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM09: {0: np.float64(238.73427151055427), 1: np.float64(938.674109305914)}\n", + "SM02: {0: np.float64(30.331310164814337), 1: np.float64(49.80789549510593)}\n", + "HOPB: {0: np.float64(50.92166413494851), 1: np.float64(70.68966133447064)}\n", + "WUSB: {0: np.float64(31.431988097034854), 1: np.float64(57.37346743877201)}\n", + "HWA: {0: np.float64(38.50135798213559), 1: np.float64(62.65194906866393)}\n", + "FUSS: {0: np.float64(0.004054188573186892), 1: np.float64(13.386282949110873)}\n", + "WUSB: {0: np.float64(8.284062783622836), 1: np.float64(9.175731241868997)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:14,237 - INFO - code == 0 stations for event99: set()\n", + "2026-06-18 15:17:14,238 - INFO - horizontal elements not enough stations for event99: {}\n", + "2026-06-18 15:17:14,239 - INFO - Event: 100 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "E077: {0: np.float64(24.20812398225843), 1: np.float64(41.77643636003132)}\n", + "TDCB: {0: np.float64(3.3838396414100367), 1: np.float64(5.1487542309055945)}\n", + "B215: {0: np.float64(16.379452168010324), 1: np.float64(15.347555713876586)}\n", + "SM02: {0: np.float64(89.48623968127868), 1: np.float64(155.51786788568134)}\n", + "E037: {0: np.float64(25.22306546254401), 1: np.float64(25.62349060961357)}\n", + "B189: {0: np.float64(9.883071722608069), 1: np.float64(6.162319887380096)}\n", + "EGFH: {0: np.float64(1.4886638504100118), 1: np.float64(1.5119768896441568)}\n", + "E077: {0: np.float64(19.371635087842755), 1: np.float64(21.70949868799598)}\n", + "NNSH: {0: np.float64(11.524247759941078), 1: np.float64(9.345663880435001)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:14,529 - INFO - code == 0 stations for event81: set()\n", + "2026-06-18 15:17:14,530 - INFO - horizontal elements not enough stations for event81: {}\n", + "2026-06-18 15:17:14,531 - INFO - Event: 82 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "E023: 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'%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:17,675 - WARNING - time data '2024-04-03T01:26:00' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:17,676 - WARNING - time data '2024-04-03T01:24:00' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:17,676 - WARNING - time data '2024-04-03T01:27:40' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:17,687 - WARNING - time data '2024-04-03T01:25:40' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:17,688 - WARNING - time data '2024-04-03T01:26:00' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ESL: {0: np.float64(169.4271890902967), 1: np.float64(97.1372756644954)}" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:17,689 - WARNING - time data '2024-04-03T01:24:00' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:17,690 - WARNING - time data '2024-04-03T01:27:40' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YHNB: {0: np.float64(4.189087250973072), 1: np.float64(3.1085475697672975)}\n", + "SM39: {0: np.float64(27.018097790472847), 1: np.float64(33.60269280855822)}\n", + "SM06: {0: np.float64(264.83174582202525), 1: np.float64(273.0334564240731)}\n", + "YUS: {0: np.float64(4.538479620906802), 1: np.float64(4.573282952288878)}\n", + "SSLB: {0: np.float64(27.762258501684215), 1: np.float64(33.842753716363305)}\n", + "SM02: {0: np.float64(16.021079399745982), 1: np.float64(11.25897039731381)}\n", + "E023: {0: np.float64(58.29340901018222), 1: np.float64(60.33253572736138)}\n", + "SM09: {0: np.float64(397.51534117258296), 1: np.float64(655.7835588476859)}\n", + "HOPB: {0: np.float64(120.70599612051329), 1: np.float64(157.58879395453087)}\n", + "HWA: {0: np.float64(3.901943540137293), 1: np.float64(4.18238628168517)}\n", + "E004: {0: np.float64(69.98528948019437), 1: np.float64(89.12878291750565)}\n", + "ECB: {0: np.float64(3.2845180058952264), 1: np.float64(3.52354766840432)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:18,118 - INFO - code == 0 stations for event103: set()\n", + "2026-06-18 15:17:18,119 - INFO - horizontal elements not enough stations for event103: {}\n", + "2026-06-18 15:17:18,120 - INFO - Event: 104 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WDLH: {0: np.float64(17.200525233518114), 1: np.float64(24.003397757406884)}\n", + "WPL: {0: np.float64(2.1635194318821886), 1: np.float64(3.3208547467980605)}\n", + "B078: {0: np.float64(33.35345117733763), 1: np.float64(36.61197677407762)}\n", + "EWT: {0: np.float64(32.12769805385867), 1: np.float64(31.979507550548675)}\n", + "WCS: {0: np.float64(0.8151357210366439), 1: np.float64(0.5614677703157761)}\n", + "WUSB: {0: np.float64(232.79601937381113), 1: np.float64(270.15958617090996)}\n", + "SM39: {0: np.float64(88.61478811848396), 1: np.float64(61.24842799388242)}\n", + "NFF: {0: np.float64(18.094322087581986), 1: np.float64(25.533549111261426)}\n", + "YUS: {0: np.float64(11.31817774467556), 1: np.float64(11.733330059193351)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:18,386 - WARNING - time data '2024-04-03T01:13:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,387 - WARNING - time data '2024-04-03T01:13:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,397 - WARNING - time data '2024-04-03T01:13:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,398 - WARNING - time data '2024-04-03T01:13:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,405 - WARNING - time data '2024-04-03T01:13:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,405 - WARNING - time data '2024-04-03T01:13:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,406 - WARNING - time data '2024-04-03T01:11:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,407 - WARNING - time data '2024-04-03T01:15:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,417 - WARNING - time data '2024-04-03T01:13:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,418 - WARNING - time data '2024-04-03T01:13:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,419 - WARNING - time data '2024-04-03T01:11:43' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:18,419 - WARNING - time data '2024-04-03T01:15:23' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B148: {0: np.float64(77.67337667390643), 1: np.float64(73.06283964173953)}\n", + "SYNB: {0: np.float64(43.48976226864816), 1: np.float64(28.73933923460505)}\n", + "SHUL: {0: np.float64(27.026751847799595), 1: np.float64(53.123342845994834)}\n", + "F002: {0: np.float64(14.464655133859614), 1: np.float64(13.53430077412136)}\n", + "FUSS: {0: np.float64(0.007643968555009739), 1: np.float64(24.386071251802996)}\n", + "SML: {0: np.float64(8.782581107251199), 1: np.float64(11.401798510132998)}\n", + "EHYH: {0: np.float64(8.537421040352202), 1: np.float64(11.866503204561006)}\n", + "F059: {0: np.float64(128.50404071708624), 1: np.float64(175.7231220630018)}\n", + "EOS3: {0: np.float64(20.923208726289047), 1: np.float64(112.56548533085228)}\n", + "C024: {0: np.float64(4.075360210365965), 1: np.float64(5.083648182708602)}\n", + "B189: {0: np.float64(54.60658360431033), 1: np.float64(31.616452965582383)}\n", + "ALS: {0: np.float64(5.128818817400921), 1: np.float64(5.44782272190371)}\n", + "E077: {0: np.float64(65.10862635987189), 1: np.float64(64.88213289034385)}\n", + "B068: {0: np.float64(57.64855381532786), 1: np.float64(53.60001853590869)}\n", + "HGSD: {0: np.float64(151.5212364965922), 1: np.float64(284.59254404884655)}\n", + "HWA: {0: np.float64(14.06210129994477), 1: np.float64(13.332329023851418)}\n", + "YULB: {0: np.float64(16.503288674587235), 1: np.float64(19.83244989037615)}\n", + "ECB: {0: np.float64(5.439717833978032), 1: np.float64(5.080787061865947)}\n", + "EGC: {0: np.float64(216.97506141726), 1: np.float64(106.56062349615088)}\n", + "TDCB: {0: np.float64(1.3750434421202944), 1: np.float64(2.009009969573841)}\n", + "B215: {0: np.float64(152.28930874503948), 1: np.float64(110.17805410585164)}\n", + "ESL: {0: np.float64(73.40961847933053), 1: np.float64(62.72018612543892)}\n", + "SM06: {0: np.float64(32.150998424019726), 1: np.float64(34.35466256423737)}\n", + "WCKO: {0: np.float64(19.31349095591291), 1: np.float64(18.78098783890687)}\n", + "SSLB: {0: np.float64(3.6449745402965243), 1: np.float64(2.631070259954229)}\n", + "GWUB: {0: np.float64(44.16626290888221), 1: np.float64(71.96951479574813)}\n", + "SM09: {0: np.float64(26.246339522209208), 1: np.float64(35.327936633092555)}\n", + "SM02: {0: np.float64(270.73487540002884), 1: np.float64(224.530956118909)}\n", + "HOPB: {0: np.float64(4.6987532177752085), 1: np.float64(4.043823806322725)}\n", + "EGFH: {0: np.float64(7.031366111301352), 1: np.float64(6.121055267717426)}\n", + "WUSB: {0: np.float64(13.837790948384272), 1: np.float64(9.259043275929164)}\n", + "B148: {0: np.float64(6.507253047449595), 1: np.float64(7.394861814258668)}\n", + "NNSH: {0: np.float64(19.39403733187365), 1: np.float64(32.47550864262563)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:19,555 - INFO - code == 0 stations for event83: set()\n", + "2026-06-18 15:17:19,555 - INFO - horizontal elements not enough stations for event83: {}\n", + "2026-06-18 15:17:19,556 - INFO - Event: 84 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WPL: {0: np.float64(13.926228107633015), 1: np.float64(13.834637129223893)}EHYH: {0: np.float64(2.795081300332426), 1: np.float64(1.847904117009768)}\n", + "\n", + "YHNB: {0: np.float64(47.953915178412316), 1: np.float64(51.33038354767688)}\n", + "FUSS: {0: np.float64(0.0032691848896184116), 1: np.float64(2.0490992088021596)}\n", + "B090: {0: np.float64(22.11896697895145), 1: np.float64(21.837519957815655)}\n", + "B189: {0: np.float64(1.8278264201964842), 1: np.float64(1.766702813121633)}\n", + "SM39: {0: np.float64(592.1022455227562), 1: np.float64(765.059611333436)}\n", + "E077: {0: np.float64(5.005898092406098), 1: np.float64(5.091495401772065)}\n", + "YUS: {0: np.float64(105.09008406304446), 1: np.float64(69.74866500866932)}\n", + "YULB: {0: np.float64(2.820634385571326), 1: np.float64(2.3714750990149547)}\n", + "EGC: {0: np.float64(42.44304886821718), 1: np.float64(38.087861235539606)}\n", + "SHUL: {0: np.float64(60.738480006840675), 1: np.float64(64.22556208574333)}\n", + "SM02: {0: np.float64(14.481749097280503), 1: np.float64(27.976483377688634)}\n", + "F002: {0: np.float64(56.448395786538484), 1: np.float64(123.61121764667753)}\n", + "EGFH: {0: np.float64(1.3300602020308472), 1: np.float64(3.415764855806972)}\n", + "SML: {0: np.float64(54.97959614958681), 1: np.float64(50.48633705766013)}\n", + "B071: {0: np.float64(19.190107129928865), 1: np.float64(19.05330840750015)}\n", + "NNSH: {0: np.float64(2.4115452684162593), 1: np.float64(1.0548554154193868)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:20,181 - INFO - code == 0 stations for event104: set()\n", + "2026-06-18 15:17:20,182 - INFO - horizontal elements not enough stations for event104: {}\n", + "2026-06-18 15:17:20,182 - INFO - Event: 105 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F059: {0: np.float64(197.63531598848704), 1: np.float64(238.93670616512296)}\n", + "WFEN: {0: np.float64(1.214730121877395), 1: np.float64(0.978674462842982)}\n", + "B045: {0: np.float64(33.39311839082717), 1: np.float64(33.721442472859735)}\n", + "FUSS: {0: np.float64(0.003952847181089307), 1: np.float64(2.613182723912362)}\n", + "TDCB: {0: np.float64(1.4688293606249616), 1: np.float64(2.0029354548175107)}\n", + "HWA: {0: np.float64(68.03721079517769), 1: np.float64(56.82268026688803)}\n", + "SML: {0: np.float64(6.11384052127357), 1: np.float64(6.638030552298142)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:20,491 - WARNING - time data '2024-04-03T01:13:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,492 - WARNING - time data '2024-04-03T01:14:12' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,503 - WARNING - time data '2024-04-03T01:13:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,504 - WARNING - time data '2024-04-03T01:14:12' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,510 - WARNING - time data '2024-04-03T01:13:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,511 - WARNING - time data '2024-04-03T01:14:12' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,512 - WARNING - time data '2024-04-03T01:12:12' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,513 - WARNING - time data '2024-04-03T01:15:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,523 - WARNING - time data '2024-04-03T01:13:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,524 - WARNING - time data '2024-04-03T01:14:12' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,525 - WARNING - time data '2024-04-03T01:12:12' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:20,525 - WARNING - time data '2024-04-03T01:15:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B071: {0: np.float64(1.4088999879944941), 1: np.float64(1.3955823343033746)}\n", + "TDCB: {0: np.float64(12.245850254574115), 1: np.float64(22.593983003777776)}\n", + "LATB: {0: np.float64(90.86346319114803), 1: np.float64(78.17798777896158)}\n", + "WCS: {0: np.float64(0.43452298850785437), 1: np.float64(0.34771629397508624)}\n", + "ESL: {0: np.float64(59.377905523312705), 1: np.float64(50.38979297097786)}\n", + "F059: {0: np.float64(28.30916735631657), 1: np.float64(31.255210982800893)}\n", + "SM09: {0: np.float64(22.714114454514707), 1: np.float64(46.14327586313618)}\n", + "SM06: {0: np.float64(149.33703005586338), 1: np.float64(151.6594936129439)}\n", + "YULB: {0: np.float64(1.133719238482007), 1: np.float64(0.918532929831069)}\n", + "SSLB: {0: np.float64(22.516897065267003), 1: np.float64(10.85362531908031)}\n", + "SM39: {0: np.float64(36.66994217274839), 1: np.float64(56.20271247566002)}\n", + "E023: {0: np.float64(33.52576025675699), 1: np.float64(37.110319620606695)}\n", + "GWUB: {0: np.float64(2.9052723092717803), 1: np.float64(4.052090826434673)}SM09: {0: np.float64(190.02570318156137), 1: np.float64(291.6191103950704)}\n", + "\n", + "HOPB: {0: np.float64(106.25360847172479), 1: np.float64(136.67774571199075)}\n", + "SM02: {0: np.float64(32.283342981641354), 1: np.float64(35.562038255183644)}\n", + "WUSB: {0: np.float64(10.808244494525667), 1: np.float64(11.83233963365423)}B078: {0: np.float64(16.403844325183993), 1: np.float64(17.22122941978086)}\n", + "\n", + "EWT: {0: np.float64(24.970601045149206), 1: np.float64(22.6500848181558)}\n", + "NNSH: {0: np.float64(1.5014118721385195), 1: np.float64(2.191385535680346)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:21,115 - INFO - code == 0 stations for event105: set()\n", + "2026-06-18 15:17:21,116 - INFO - horizontal elements not enough stations for event105: {}\n", + "2026-06-18 15:17:21,117 - INFO - Event: 106 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WUSB: {0: np.float64(74.61210710545075), 1: np.float64(88.58854902838354)}\n", + "B148: {0: np.float64(22.618380168217865), 1: np.float64(35.390135198362444)}\n", + "SM06: {0: np.float64(19.926039838559554), 1: np.float64(15.215330372649086)}\n", + "F059: {0: np.float64(13.79279473382441), 1: np.float64(16.463218622941575)}\n", + "FUSS: {0: np.float64(0.008912692751153322), 1: np.float64(33.05490511236007)}\n", + "SM09: {0: np.float64(31.82620545567342), 1: np.float64(25.781988901925697)}\n", + "E077: {0: np.float64(95.6969446879092), 1: np.float64(50.249543065477965)}\n", + "SM39: {0: np.float64(48.37747784156341), 1: np.float64(35.46619596532156)}\n", + "HGSD: {0: np.float64(187.3549580067363), 1: np.float64(174.93724148774268)}\n", + "SM02: {0: np.float64(14.818737068228552), 1: np.float64(11.321800741768499)}\n", + "YULB: {0: np.float64(19.80738290519404), 1: np.float64(16.44343132134802)}\n", + "B215: {0: np.float64(65.42516242622546), 1: np.float64(68.30486061325118)}\n", + "SM02: {0: np.float64(188.4849532346438), 1: np.float64(176.91461879128232)}\n", + "HWA: {0: np.float64(5.141302151276815), 1: np.float64(5.930755617950936)}\n", + "NNSH: {0: np.float64(34.90353297477355), 1: np.float64(33.145068169414905)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:21,653 - INFO - code == 0 stations for event84: set()\n", + "2026-06-18 15:17:21,654 - INFO - horizontal elements not enough stations for event84: {}\n", + "2026-06-18 15:17:21,655 - INFO - Event: 85 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WUSB: {0: np.float64(7.823470470289119), 1: np.float64(9.411326768663805)}\n", + "WPL: {0: np.float64(8.537564495333156), 1: np.float64(14.261078474013292)}\n", + "NNSH: {0: np.float64(2.0819646406483434), 1: np.float64(1.9733698872876302)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:21,766 - INFO - code == 0 stations for event106: set()\n", + "2026-06-18 15:17:21,767 - INFO - horizontal elements not enough stations for event106: {}\n", + "2026-06-18 15:17:21,768 - INFO - Event: 107 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TDCB: {0: np.float64(20.33312227454662), 1: np.float64(13.249465127698368)}\n", + "TDCB: {0: np.float64(0.3608817142407546), 1: np.float64(0.33676882287642207)}\n", + "ESL: {0: np.float64(20.026091875369833), 1: np.float64(19.95979504739442)}\n", + "EOS3: {0: np.float64(8.339670203315348), 1: np.float64(29.809375955562455)}\n", + "ESL: {0: np.float64(2.310882981521862), 1: np.float64(2.15082085728825)}\n", + "F059: {0: np.float64(70.13501584880485), 1: np.float64(91.8172096138519)}\n", + "SM09: {0: np.float64(3.381310532946016), 1: 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stations for event111: {}\n", + "2026-06-18 15:17:27,792 - INFO - Event: 112 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "NDS: {0: np.float64(38.42965824290912), 1: np.float64(53.67162332244998)}\n", + "B148: {0: np.float64(4.317183477739217), 1: np.float64(5.748649330195913)}\n", + "C024: {0: np.float64(71.69507462525361), 1: np.float64(102.97564068865965)}\n", + "SM06: {0: np.float64(24.071860979848818), 1: np.float64(25.227187756352013)}\n", + "ALS: {0: np.float64(85.37161753561516), 1: np.float64(98.63014592328797)}\n", + "E077: {0: np.float64(7.490429402318916), 1: np.float64(12.848006782195736)}\n", + "B045: {0: np.float64(159.8631358577212), 1: np.float64(142.57358139668963)}\n", + "SM09: {0: np.float64(50.76100262539965), 1: np.float64(76.50847501250733)}\n", + "HOPB: {0: np.float64(26.575768035663693), 1: np.float64(40.144884815485426)}\n", + "NDS: {0: np.float64(5.0793880920653285), 1: np.float64(3.266272753324437)}\n", + "HWA: {0: 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code == 0 stations for event89: set()\n", + "2026-06-18 15:17:29,834 - INFO - horizontal elements not enough stations for event89: {}\n", + "2026-06-18 15:17:29,839 - INFO - Event: 126 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SHUL: {0: np.float64(19.05657469566434), 1: np.float64(19.92669729715332)}\n", + "WPL: {0: np.float64(6.181048881157275), 1: np.float64(8.644618504996544)}\n", + "F002: {0: np.float64(14.117550955620356), 1: np.float64(15.785624327408168)}\n", + "E037: {0: np.float64(40.21025477701373), 1: np.float64(41.82513468699523)}\n", + "WHP: {0: np.float64(4.175005762064823), 1: np.float64(4.613338150669898)}\n", + "YHNB: {0: np.float64(11.856897275546276), 1: np.float64(18.34341946190994)}\n", + "SML: {0: np.float64(23.05465345109214), 1: np.float64(31.497431974892805)}\n", + "SM39: {0: np.float64(299.123982664337), 1: np.float64(352.4443071879137)}\n", + "B071: {0: np.float64(9.979128321996122), 1: np.float64(9.487939472542166)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:30,115 - WARNING - time data '2024-04-03T01:33:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,125 - WARNING - time data '2024-04-03T01:33:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,131 - WARNING - time data '2024-04-03T01:33:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,132 - WARNING - time data '2024-04-03T01:31:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,143 - WARNING - time data '2024-04-03T01:33:32' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,144 - WARNING - time data '2024-04-03T01:31:52' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F059: {0: np.float64(74.45917420434627), 1: np.float64(54.64349583851986)}\n", + "SHUL: {0: np.float64(15.953570083450895), 1: np.float64(27.056400661150754)}\n", + "CHKH: {0: np.float64(2.25283243078914), 1: np.float64(2.1674993633870256)}\n", + "SML: {0: np.float64(17.628236065370253), 1: np.float64(20.216690428741988)}\n", + "FUSB: {0: np.float64(3.3904808254814895), 1: np.float64(4.094966879255493)}\n", + "F059: {0: np.float64(36.87889933532546), 1: np.float64(46.911926884970406)}\n", + "NDS: {0: np.float64(3.2264191238253814), 1: np.float64(5.616696637379687)}\n", + "B045: {0: np.float64(5.5740225460329125), 1: np.float64(8.007893778127354)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:30,410 - WARNING - time data '2024-04-03T01:33:44' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,421 - WARNING - time data '2024-04-03T01:33:44' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,428 - WARNING - time data '2024-04-03T01:33:44' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,429 - WARNING - time data '2024-04-03T01:32:04' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TDCB: {0: np.float64(5.24619329667255), 1: np.float64(5.138449181923524)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:30,448 - WARNING - time data '2024-04-03T01:33:44' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:30,449 - WARNING - time data '2024-04-03T01:32:04' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "C024: 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code == 0 stations for event126: set()\n", + "2026-06-18 15:17:31,578 - INFO - horizontal elements not enough stations for event126: {}\n", + "2026-06-18 15:17:31,579 - INFO - Event: 127 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FUSS: {0: np.float64(0.0036275030125379605), 1: np.float64(11.166347794953502)}\n", + "SM06: {0: np.float64(5.746667444660239), 1: np.float64(5.653341179218098)}\n", + "EOS3: {0: np.float64(4.078001296062734), 1: np.float64(9.539622009135936)}\n", + "E023: {0: np.float64(1.7032402778320508), 1: np.float64(1.5362317450791512)}\n", + "B189: {0: np.float64(8.386432417292127), 1: np.float64(6.600364487670829)}\n", + "SM09: {0: np.float64(12.036778218272568), 1: np.float64(9.66827959033871)}\n", + "E077: {0: np.float64(13.027874774408192), 1: np.float64(20.02401787845209)}\n", + "HOPB: {0: np.float64(4.633585560441296), 1: np.float64(5.472286374981361)}\n", + "YULB: {0: np.float64(2.1424411044815854), 1: 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'2024-04-03T01:36:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:33,909 - WARNING - time data '2024-04-03T01:36:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:33,910 - WARNING - time data '2024-04-03T01:34:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:33,911 - WARNING - time data '2024-04-03T01:38:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:33,921 - WARNING - time data '2024-04-03T01:36:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:33,922 - WARNING - time data '2024-04-03T01:36:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:33,923 - WARNING - time data '2024-04-03T01:34:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:33,924 - WARNING - time data '2024-04-03T01:38:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "E023: {0: np.float64(3.864053593783825), 1: np.float64(5.793237800974618)}\n", + "HOPB: {0: np.float64(36.48574951008125), 1: np.float64(24.646239694316897)}\n", + "SHUL: {0: np.float64(30.371409613199578), 1: np.float64(86.79860295508102)}\n", + "E004: {0: np.float64(7.343021723631986), 1: np.float64(8.054821392618916)}\n", + "F002: {0: np.float64(40.18186647366446), 1: np.float64(39.03453696928893)}\n", + "FUSB: {0: np.float64(0.8510065969484923), 1: np.float64(0.7088536224206858)}\n", + "SML: {0: np.float64(14.824320243500024), 1: np.float64(15.311044226369722)}\n", + "YHNB: {0: np.float64(1.0034395420598317), 1: np.float64(1.7024035770532313)}\n", + "F059: {0: np.float64(94.19642142387411), 1: np.float64(194.14344774216602)}\n", + "NDS: {0: 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15:17:34,509 - INFO - Event: 117 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ECB: {0: np.float64(30.062734144040956), 1: np.float64(21.015681749727595)}\n", + "ESL: {0: np.float64(2.107964989501646), 1: np.float64(2.0677533513841078)}\n", + "TDCB: {0: np.float64(3.4874762218739526), 1: np.float64(4.066682189836153)}\n", + "F059: {0: np.float64(6.394094570988791), 1: np.float64(7.888261013176358)}\n", + "ESL: {0: np.float64(115.35806619245737), 1: np.float64(100.69947535364592)}\n", + "E004: {0: np.float64(8.58340882116599), 1: np.float64(10.133562929671383)}\n", + "HOPB: {0: np.float64(36.479016459417124), 1: np.float64(24.64409798972332)}\n", + "SM06: {0: np.float64(83.95582007022729), 1: np.float64(64.40545773230797)}\n", + "SM09: {0: np.float64(10.525974716712172), 1: np.float64(18.643591492912115)}\n", + "WUSB: {0: np.float64(13.59629376387698), 1: np.float64(20.762114578801967)}\n", + "NDS: {0: np.float64(2.5598984994771317), 1: 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np.float64(5.64881410243163)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:36,768 - INFO - code == 0 stations for event118: set()\n", + "2026-06-18 15:17:36,769 - INFO - horizontal elements not enough stations for event118: {}\n", + "2026-06-18 15:17:36,770 - INFO - Event: 119 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WDLH: {0: np.float64(9.549155030201995), 1: np.float64(15.251240902317884)}\n", + "WPL: {0: np.float64(1.340286503643995), 1: np.float64(2.0903191097697724)}\n", + "EWT: {0: np.float64(4.7747069556989405), 1: np.float64(5.930300277134686)}\n", + "B148: {0: np.float64(3.857644078820135), 1: np.float64(3.37453305963311)}\n", + "WUSB: {0: np.float64(41.36082949034248), 1: np.float64(57.296005730287106)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:36,937 - WARNING - time data '2024-04-03T01:38:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,939 - WARNING - time data '2024-04-03T01:38:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,959 - WARNING - time data '2024-04-03T01:38:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,960 - WARNING - time data '2024-04-03T01:38:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,969 - WARNING - time data '2024-04-03T01:38:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,970 - WARNING - time data '2024-04-03T01:38:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,971 - WARNING - time data '2024-04-03T01:36:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,971 - WARNING - time data '2024-04-03T01:40:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,988 - WARNING - time data '2024-04-03T01:38:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,989 - WARNING - time data '2024-04-03T01:38:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,990 - WARNING - time data '2024-04-03T01:36:45' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:36,991 - WARNING - time data '2024-04-03T01:40:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FUSS: {0: np.float64(0.0036534307493915116), 1: np.float64(8.292335909779387)}\n", + "FUSS: {0: np.float64(0.0035700051409019522), 1: np.float64(2.918102265276365)}\n", + "B189: {0: np.float64(9.89118284557422), 1: 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"text": [ + "B068: {0: np.float64(88.19131591231735), 1: np.float64(116.75278675126351)}\n", + "WPL: {0: np.float64(93.75375376959745), 1: np.float64(111.62155946254094)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:39,959 - WARNING - Code 0: Amplitude of HGSD with seis type H >=5000000: 7040919.0\n", + "2026-06-18 15:17:39,970 - WARNING - Code 0: Amplitude of WFEN with seis type H >=5000000: 10536909.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YULB: {0: np.float64(103.05805808013719), 1: np.float64(104.53840669206777)}\n", + "WCS: {0: np.float64(65.85314762505756), 1: np.float64(36.58866643695241)}\n", + "EGC: {0: np.float64(1472.8345628692866), 1: np.float64(1442.802358053385)}\n", + "G041: {0: np.float64(325.8964996259405), 1: np.float64(317.0178924684391)}\n", + "WCKO: {0: np.float64(131.95406954067462), 1: np.float64(124.16374480468305)}\n", + "WJS: {0: np.float64(341.2297003401242), 1: 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np.float64(107.23556463897421), 1: np.float64(163.39509198748289)}\n", + "ALS: {0: np.float64(154.38700028378608), 1: np.float64(167.0856027624518)}\n", + "HWA: {0: np.float64(698.4376396004328), 1: np.float64(458.1780143043776)}\n", + "ECB: {0: np.float64(190.92037155281062), 1: np.float64(165.41845069605978)}\n", + "ESL: {0: np.float64(372.7966868161344), 1: np.float64(436.8406932719415)}\n", + "HWA: {0: np.float64(156.39799934361162), 1: np.float64(91.95588586533577)}\n", + "ECB: {0: np.float64(206.23126660068758), 1: np.float64(158.90743224259492)}\n", + "SM06: {0: np.float64(4375.44155802558), 1: np.float64(4292.3859636011275)}\n", + "TDCB: {0: np.float64(41.533618040340414), 1: np.float64(73.54574895550708)}\n", + "E023: {0: np.float64(642.7849552569933), 1: np.float64(717.3876260226405)}\n", + "ESL: {0: np.float64(385.8876454432546), 1: np.float64(334.35056605670707)}\n", + "SM09: {0: np.float64(1886.6267633571958), 1: np.float64(1292.3011735639045)}\n", + "HOPB: {0: np.float64(666.633836132965), 1: np.float64(640.7284900215757)}\n", + "SM06: {0: np.float64(573.9937460140137), 1: np.float64(561.625406150645)}\n", + "E004: {0: np.float64(831.9290787014612), 1: np.float64(1258.8169664201628)}\n", + "SSLB: {0: np.float64(42.911898421054), 1: np.float64(49.29057350743405)}\n", + "SM09: {0: np.float64(355.82204233963273), 1: np.float64(471.2474975071203)}\n", + "WDLH: {0: np.float64(320.5481429641629), 1: np.float64(205.47772341899523)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:42,058 - WARNING - Code 0: Amplitude of WUSB with seis type H >=5000000: 4767237.0\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WUSB: {0: np.float64(199.62841574458406), 1: np.float64(257.36329296735255)}\n", + "B148: {0: np.float64(151.57465208499463), 1: np.float64(184.79245477902913)}\n", + "B148: {0: np.float64(80.8142156282508), 1: np.float64(125.96682922441829)}\n", + "SYNB: {0: np.float64(107.53987269327187), 1: np.float64(58.76514900593759)}\n", + "EHYH: {0: np.float64(79.80408835874502), 1: np.float64(126.0922681832824)}\n", + "B189: {0: np.float64(32.40324846585583), 1: np.float64(34.58100172897599)}\n", + "E077: {0: np.float64(79.02236838523545), 1: np.float64(89.29223947385705)}\n", + "FUSS: {0: np.float64(0.05242044471494875), 1: np.float64(137.89154718831003)}\n", + "B068: {0: np.float64(98.28784974700191), 1: np.float64(68.06628149614646)}\n", + "EHD: {0: np.float64(17.337464020635156), 1: np.float64(24.95207044258379)}\n", + "EGC: {0: np.float64(1263.351792872674), 1: np.float64(908.8664173573948)}\n", + "E077: {0: np.float64(372.33051156408936), 1: np.float64(751.9824161680118)}\n", + "B215: {0: np.float64(94.4991933824264), 1: np.float64(71.27414683174612)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:42,481 - WARNING - time data '2024-04-03T01:51:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,482 - WARNING - time data '2024-04-03T01:52:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,493 - WARNING - time data '2024-04-03T01:51:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,494 - WARNING - time data '2024-04-03T01:52:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,501 - WARNING - time data '2024-04-03T01:51:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,502 - WARNING - time data '2024-04-03T01:52:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,503 - WARNING - time data '2024-04-03T01:49:58' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,503 - WARNING - time data '2024-04-03T01:53:58' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B068: {0: np.float64(353.5076178296829), 1: np.float64(464.5345494390643)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:42,514 - WARNING - time data '2024-04-03T01:51:38' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,515 - WARNING - time data '2024-04-03T01:52:18' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,516 - WARNING - time data '2024-04-03T01:49:58' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,517 - WARNING - time data '2024-04-03T01:53:58' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "GWUB: {0: np.float64(91.55629751162094), 1: np.float64(84.50556808145488)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:42,538 - WARNING - time data '2024-04-03T01:39:46' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,539 - WARNING - time data '2024-04-03T01:40:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,548 - WARNING - time data '2024-04-03T01:39:46' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,549 - WARNING - time data '2024-04-03T01:40:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,557 - WARNING - time data '2024-04-03T01:39:46' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,558 - WARNING - time data '2024-04-03T01:40:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,559 - WARNING - time data '2024-04-03T01:38:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,559 - WARNING - time data '2024-04-03T01:41:46' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,571 - WARNING - time data '2024-04-03T01:39:46' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,571 - WARNING - time data '2024-04-03T01:40:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,572 - WARNING - time data '2024-04-03T01:38:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:42,573 - WARNING - time data '2024-04-03T01:41:46' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YULB: {0: np.float64(74.88027100676494), 1: np.float64(81.03253948149344)}\n", + "SM02: {0: np.float64(281.8056043078792), 1: np.float64(221.9966807558084)}\n", + "EGC: {0: np.float64(2864.721357148084), 1: np.float64(1376.9568395341037)}\n", + "EGFH: {0: np.float64(30.742184971324896), 1: np.float64(24.4692876784097)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:42,679 - INFO - code == 0 stations for event132: set()\n", + "2026-06-18 15:17:42,680 - INFO - horizontal elements not enough stations for event132: {}\n", + "2026-06-18 15:17:42,681 - INFO - Event: 133 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B215: {0: np.float64(611.7491518987063), 1: np.float64(619.9144019086139)}\n", + "WPL: {0: np.float64(5.742683132162471), 1: np.float64(6.553560213378959)}\n", + "B148: {0: np.float64(9.427180911104063), 1: np.float64(9.119982316094278)}\n", + "WCKO: {0: np.float64(341.32417869577955), 1: np.float64(253.35445013505102)}\n", + "B071: {0: np.float64(6.6689486822689386), 1: np.float64(5.238852495557262)}\n", + "GWUB: {0: np.float64(549.7922058404293), 1: np.float64(668.2629204736306)}\n", + "B189: {0: np.float64(5.169121977724267), 1: np.float64(4.964600793700377)}\n", + "SM02: {0: np.float64(1253.6887543878802), 1: np.float64(2769.7584812647856)}\n", + "HOPB: {0: np.float64(9.30964829414859), 1: np.float64(12.799531727665716)}\n", + "EDH: {0: np.float64(67.2464904443013), 1: np.float64(57.844685359058175)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:43,019 - INFO - code == 0 stations for event121: {'WFEN', 'WUSB'}\n", + "2026-06-18 15:17:43,020 - INFO - horizontal elements not enough stations for event121: {}\n", + "2026-06-18 15:17:43,021 - INFO - Event: 122 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM09: {0: np.float64(88.95126730755094), 1: np.float64(60.59218477962592)}\n", + "F002: {0: np.float64(304.0889213735899), 1: np.float64(246.31653266847954)}\n", + "YHNB: {0: np.float64(7.571430553554933), 1: np.float64(5.9209239643424)}\n", + "TDCB: {0: np.float64(33.19913656875849), 1: np.float64(59.74868144790281)}\n", + "EGC: {0: np.float64(188.77698183509457), 1: np.float64(159.0916097391827)}\n", + "SML: {0: np.float64(288.7984113018272), 1: np.float64(292.04596261846655)}\n", + "B215: {0: np.float64(10.728880969954686), 1: np.float64(8.52107645795301)}\n", + "ESL: {0: np.float64(114.22481145353039), 1: np.float64(249.8727329092173)}\n", + "SHUL: {0: np.float64(41.69116784823798), 1: np.float64(61.15591974016459)}SM06: {0: np.float64(1380.7432728252618), 1: np.float64(673.0426816271788)}\n", + "\n", + "F002: {0: np.float64(42.93570705965226), 1: np.float64(46.21424761536322)}\n", + "F059: {0: np.float64(394.08110898543794), 1: np.float64(535.7506779228963)}\n", + "ECB: {0: np.float64(29.70863741007834), 1: np.float64(34.78544848946623)}\n", + "SM02: {0: np.float64(513.589285187487), 1: np.float64(538.0686277210153)}\n", + "WUSB: {0: np.float64(15.978390542867754), 1: np.float64(25.455586698781588)}EGC: {0: np.float64(532.1552191719784), 1: np.float64(344.9333341826873)}\n", + "\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:43,515 - INFO - code == 0 stations for event133: set()\n", + "2026-06-18 15:17:43,515 - INFO - horizontal elements not enough stations for event133: {}\n", + "2026-06-18 15:17:43,516 - INFO - Event: 134 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "YUS: {0: np.float64(126.95901947947638), 1: np.float64(145.62961609551323)}\n", + "WPL: {0: np.float64(2.3037502986890055), 1: np.float64(2.647425716075484)}\n", + "B148: {0: np.float64(3.9788466706419623), 1: np.float64(3.822631177754506)}\n", + "WFEN: {0: np.float64(5.375941100515878), 1: np.float64(5.710954822337017)}\n", + "SHUL: {0: np.float64(134.48886408531789), 1: np.float64(142.74310329286925)}\n", + "SML: {0: np.float64(7.673521779757777), 1: np.float64(8.521469762242615)}\n", + "TDCB: {0: np.float64(3.7529789699891), 1: np.float64(2.854229254154076)}\n", + "SM06: {0: np.float64(88.04461169404452), 1: np.float64(74.72238865145299)}\n", + "HWA: {0: np.float64(181.09728693327872), 1: np.float64(185.10723537406966)}\n", + "E037: {0: np.float64(61.31516426835307), 1: np.float64(91.3785741201087)}\n", + "ECB: {0: np.float64(144.22141651441635), 1: np.float64(105.64028036192407)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:43,964 - INFO - code == 0 stations for event122: set()\n", + "2026-06-18 15:17:43,965 - INFO - horizontal elements not enough stations for event122: {}\n", + "2026-06-18 15:17:43,966 - INFO - Event: 123 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "E004: {0: np.float64(41.640256900086015), 1: np.float64(48.94313068143283)}\n", + "ESL: {0: np.float64(16.97774004378737), 1: np.float64(21.520180971185653)}\n", + "HOPB: {0: np.float64(118.65209170229737), 1: np.float64(124.33827581290917)}\n", + "SM06: {0: np.float64(78.5720079892366), 1: np.float64(62.84674557685807)}\n", + "B090: {0: np.float64(5.06671796731008), 1: np.float64(4.447177894148335)}\n", + "E077: {0: np.float64(19.702299384427505), 1: np.float64(18.98192368012545)}\n", + "C024: {0: np.float64(4.129340772766098), 1: np.float64(4.40123804184735)}\n", + "E023: {0: np.float64(27.063256945067423), 1: np.float64(35.46958493067153)}\n", + "SM02: {0: np.float64(38.63325251862668), 1: np.float64(40.284420419853085)}\n", + "SM09: {0: np.float64(185.48174795984986), 1: np.float64(247.94974606904563)}\n", + "F002: {0: np.float64(18.837633048620557), 1: np.float64(20.66731586194905)}\n", + "HOPB: {0: np.float64(54.216143598102846), 1: np.float64(44.199472457198354)}\n", + "ECB: {0: np.float64(15.855178951179871), 1: np.float64(11.44043880921768)}\n", + "EGC: {0: np.float64(37.07965310543977), 1: np.float64(40.94676308049593)}\n", + "WUSB: {0: np.float64(4.152539830805973), 1: np.float64(7.1257780223305165)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:44,425 - INFO - code == 0 stations for event134: set()\n", + "2026-06-18 15:17:44,426 - INFO - horizontal elements not enough stations for event134: {}\n", + "2026-06-18 15:17:44,427 - INFO - Event: 135 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM39: {0: np.float64(140.6369858610944), 1: np.float64(153.41459507598083)}\n", + "WPL: {0: np.float64(60.175413286436346), 1: np.float64(96.93103808577592)}\n", + "EWT: {0: np.float64(8.479788820877133), 1: np.float64(13.159827146103103)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:44,526 - INFO - code == 0 stations for event123: set()\n", + "2026-06-18 15:17:44,526 - INFO - horizontal elements not enough stations for event123: {}\n", + "2026-06-18 15:17:44,527 - INFO - Event: 124 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WFEN: {0: np.float64(259.4047787594999), 1: np.float64(133.41879452504062)}\n", + "WPL: {0: np.float64(4.511279692685468), 1: np.float64(5.396527154813345)}\n", + "WCS: {0: np.float64(32.19136931744239), 1: np.float64(26.490527346899697)}\n", + "E037: {0: np.float64(33.82612691077837), 1: np.float64(26.4165001785743)}\n", + "E037: {0: np.float64(103.9012510173028), 1: np.float64(100.5454762651788)}\n", + "YHNB: {0: np.float64(13.989653357025901), 1: np.float64(28.731435167291846)}\n", + "B090: {0: np.float64(295.46348025742543), 1: np.float64(260.4271340000909)}\n", + "SM39: {0: np.float64(146.8559282140622), 1: np.float64(163.44806544356246)}\n", + "SM39: {0: np.float64(1619.0741216088766), 1: np.float64(1588.6409278328724)}\n", + "SML: {0: np.float64(20.580194685152456), 1: np.float64(23.90088362992097)}\n", + "YUS: {0: np.float64(482.45534698117234), 1: np.float64(494.6398623362912)}\n", + "B071: {0: np.float64(5.548311703823921), 1: np.float64(5.506818030991605)}\n", + "F059: {0: np.float64(69.59519386890133), 1: np.float64(72.99747476648915)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:44,938 - WARNING - time data '2024-04-03T01:53:59' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:44,960 - WARNING - time data '2024-04-03T01:53:59' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:44,973 - WARNING - time data '2024-04-03T01:53:59' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:44,974 - WARNING - time data '2024-04-03T01:52:19' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B138: {0: np.float64(10.489040902930261), 1: np.float64(9.730173564023591)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:44,990 - WARNING - time data '2024-04-03T01:53:59' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:44,991 - WARNING - time data '2024-04-03T01:52:19' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SHUL: {0: np.float64(791.562601611617), 1: np.float64(795.8222331039782)}\n", + "C024: {0: np.float64(9.229859428669437), 1: np.float64(8.33457763844226)}\n", + "F002: {0: np.float64(635.3713189145035), 1: np.float64(596.3501774427713)}\n", + "SML: {0: np.float64(336.8901519884109), 1: np.float64(388.192123781568)}\n", + "B071: {0: np.float64(108.5006580397218), 1: np.float64(188.02328694078648)}\n", + "HWA: {0: np.float64(29.18301369825759), 1: np.float64(19.148395882646856)}\n", + "F059: {0: np.float64(3220.5733067362876), 1: np.float64(7223.718449320728)}\n", + "TDCB: {0: np.float64(4.364894503260775), 1: np.float64(7.672849168012089)}\n", + "ELD: {0: np.float64(55.51944009072553), 1: np.float64(41.70767758217472)}\n", + "ESL: {0: np.float64(17.552071727534557), 1: np.float64(18.405444327955117)}B138: {0: np.float64(179.38823061484322), 1: np.float64(151.5530174730938)}\n", + "\n", + "HOPB: {0: np.float64(66.13168374662142), 1: np.float64(71.85286828268102)}\n", + "C024: {0: np.float64(192.55445792324824), 1: np.float64(351.9606884576228)}\n", + "WUSB: {0: np.float64(19.681113089701824), 1: np.float64(18.894544005299622)}\n", + "ALS: {0: np.float64(374.0263322191255), 1: np.float64(370.73038508598097)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:45,489 - WARNING - time data '2024-04-03T01:44:05' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,490 - WARNING - time data '2024-04-03T01:44:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,500 - WARNING - time data '2024-04-03T01:44:05' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,501 - WARNING - time data '2024-04-03T01:44:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,507 - WARNING - time data '2024-04-03T01:44:05' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,508 - WARNING - time data '2024-04-03T01:44:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,509 - WARNING - time data '2024-04-03T01:42:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,509 - WARNING - time data '2024-04-03T01:46:05' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,520 - WARNING - time data '2024-04-03T01:44:05' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,521 - WARNING - time data '2024-04-03T01:44:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,521 - WARNING - time data '2024-04-03T01:42:25' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,522 - WARNING - time data '2024-04-03T01:46:05' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B045: {0: np.float64(53.608330919573255), 1: np.float64(69.13053500101982)}\n", + "B148: {0: np.float64(8.84480669863329), 1: np.float64(7.196919528388987)}\n", + "EOS3: {0: np.float64(21.727323932092805), 1: np.float64(33.098333898735625)}\n", + "B189: {0: np.float64(7.925949013719159), 1: np.float64(4.590070431485539)}\n", + "E077: {0: np.float64(11.183553018051533), 1: np.float64(16.607391446787343)}\n", + "HWA: {0: np.float64(606.1661693743579), 1: np.float64(618.3945709370055)}\n", + "B068: {0: np.float64(10.433158554091982), 1: np.float64(8.840320803276247)}\n", + "TPUB: {0: np.float64(62.06692517955725), 1: np.float64(75.03839920039009)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:45,792 - WARNING - time data '2024-04-03T01:54:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,793 - WARNING - time data '2024-04-03T01:54:26' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,803 - WARNING - time data '2024-04-03T01:54:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,804 - WARNING - time data '2024-04-03T01:54:26' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,810 - WARNING - time data '2024-04-03T01:54:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,811 - WARNING - time data '2024-04-03T01:54:26' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,811 - WARNING - time data '2024-04-03T01:52:26' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,812 - WARNING - time data '2024-04-03T01:56:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B215: {0: np.float64(24.163994828582634), 1: np.float64(19.43520728676988)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:45,823 - WARNING - time data '2024-04-03T01:54:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,824 - WARNING - time data '2024-04-03T01:54:26' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,824 - WARNING - time data '2024-04-03T01:52:26' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:45,825 - WARNING - time data '2024-04-03T01:56:06' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "TDCB: {0: np.float64(42.01577753898603), 1: np.float64(58.729407349568525)}\n", + "SM02: {0: np.float64(60.03815029809691), 1: np.float64(89.27015263292063)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:45,880 - INFO - code == 0 stations for event124: set()\n", + "2026-06-18 15:17:45,881 - INFO - horizontal elements not enough stations for event124: {}\n", + "2026-06-18 15:17:45,882 - INFO - Event: 125 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LATB: {0: np.float64(125.08991923702209), 1: np.float64(178.84116076032507)}\n", + "ESL: {0: np.float64(1777.3744378466279), 1: np.float64(2360.2371589836443)}\n", + "SM06: {0: np.float64(21.99561681557342), 1: np.float64(29.2135459815109)}\n", + "E077: {0: np.float64(4.554653331615669), 1: np.float64(7.573987353801141)}\n", + "SM06: {0: np.float64(2372.174551848006), 1: np.float64(2064.6921425670866)}\n", + "SM09: {0: np.float64(37.98732475605357), 1: np.float64(61.6286109724363)}\n", + "SSLB: {0: np.float64(169.92131715873165), 1: np.float64(83.44680331022604)}\n", + "SM39: {0: np.float64(135.90217029340045), 1: np.float64(58.39808521258057)}\n", + "E004: {0: np.float64(91.2991794875024), 1: np.float64(97.6333016557274)}\n", + "SM02: {0: np.float64(24.418086762159785), 1: np.float64(23.280998033582442)}\n", + "SM09: {0: np.float64(638.7346149199036), 1: np.float64(921.0746881417452)}\n", + "HOPB: {0: np.float64(118.69219596356844), 1: np.float64(125.82967335400421)}\n", + "WDLH: {0: np.float64(123.02853753717403), 1: np.float64(87.9957799970606)}\n", + "HWA: {0: np.float64(6.341039298182177), 1: np.float64(8.966298987643558)}\n", + "B078: {0: np.float64(137.99383859367146), 1: np.float64(110.53345238495538)}\n", + "WUSB: {0: np.float64(411.7589959859278), 1: np.float64(338.3294850524571)}\n", + "NNSH: {0: np.float64(2.7264637195171852), 1: np.float64(1.2276236921767139)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:46,481 - INFO - code == 0 stations for event125: set()\n", + "2026-06-18 15:17:46,481 - INFO - horizontal elements not enough stations for event125: {}\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B148: {0: np.float64(201.9134886455441), 1: np.float64(197.68889174446988)}\n", + "FUSS: {0: np.float64(0.020916240512260993), 1: np.float64(70.40410480695324)}\n", + "B189: {0: np.float64(40.07694078070651), 1: np.float64(50.57910206005901)}\n", + "E077: {0: np.float64(141.31063115734042), 1: np.float64(130.39319947297398)}\n", + "B068: {0: np.float64(120.33169273994173), 1: np.float64(94.69140978712775)}\n", + "YULB: {0: np.float64(104.1327714246709), 1: np.float64(101.59917954698729)}\n", + "LONT: {0: np.float64(31.656018618374222), 1: np.float64(49.13399970772432)}\n", + "EGC: {0: np.float64(1427.2895659598762), 1: np.float64(2159.313440789938)}\n", + "SM02: {0: np.float64(725.6168425690556), 1: np.float64(1446.455737451812)}\n", + "EGFH: {0: np.float64(79.33753761808572), 1: np.float64(137.081801469865)}\n", + "NNSH: {0: np.float64(71.72888156213897), 1: np.float64(48.52220370694536)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:47,361 - INFO - code == 0 stations for event135: set()\n", + "2026-06-18 15:17:47,362 - INFO - horizontal elements not enough stations for event135: {}\n", + "2026-06-18 15:17:47,363 - INFO - Event: 136 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WPL: {0: np.float64(3.358205855320352), 1: np.float64(4.419591318633561)}\n", + "WCS: {0: np.float64(2.4960470106225343), 1: np.float64(1.4650702772373934)}\n", + "G041: {0: np.float64(4.526385237133325), 1: np.float64(3.9166124957581836)}\n", + "B090: {0: np.float64(7.255354227181556), 1: np.float64(6.796005712945388)}\n", + "YUS: {0: np.float64(29.145632127252465), 1: np.float64(38.04871686071901)}\n", + "SHUL: {0: np.float64(17.12677990456439), 1: np.float64(12.721139791830488)}\n", + "F002: {0: np.float64(24.84572938504093), 1: np.float64(30.07172091948071)}\n", + "SML: {0: np.float64(11.885305352052296), 1: np.float64(9.956765483524574)}\n", + "B071: {0: np.float64(3.7489371824044606), 1: np.float64(3.155944870581161)}\n", + "F059: {0: np.float64(23.86978640126761), 1: np.float64(25.833633238735864)}\n", + "C024: {0: 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np.float64(22.149276361999473), 1: np.float64(42.790008340782656)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:48,966 - INFO - code == 0 stations for event136: set()\n", + "2026-06-18 15:17:48,967 - INFO - horizontal elements not enough stations for event136: {}\n", + "2026-06-18 15:17:48,968 - INFO - Event: 137 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "LATB: {0: np.float64(55.11470846242509), 1: np.float64(36.61789216732759)}\n", + "ESL: {0: np.float64(50.30281450723323), 1: np.float64(74.67901767577537)}\n", + "SM06: {0: np.float64(450.7406269422343), 1: np.float64(409.8664084047648)}\n", + "SHUL: {0: np.float64(46.89441219840724), 1: np.float64(66.1534985693478)}\n", + "F059: {0: np.float64(106.76082202378802), 1: np.float64(160.99916362956216)}\n", + "E077: {0: np.float64(59.41913445883252), 1: np.float64(35.15944569183768)}\n", + "E023: {0: np.float64(24.584424881288328), 1: 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'%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:50,032 - WARNING - time data '2024-04-03T01:58:04' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:50,042 - WARNING - time data '2024-04-03T01:56:24' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:50,043 - WARNING - time data '2024-04-03T01:58:04' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "EWT: {0: np.float64(13.011390669502239), 1: np.float64(9.647970854749317)}\n", + "WUSB: {0: np.float64(26.625691454202354), 1: np.float64(27.81279421020471)}\n", + "NNSH: {0: np.float64(28.893755907103948), 1: np.float64(13.719347122661915)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:50,197 - INFO - code == 0 stations for event137: set()\n", + "2026-06-18 15:17:50,198 - INFO - horizontal elements not enough stations for event137: {}\n", + "2026-06-18 15:17:50,199 - INFO - Event: 138 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "F002: {0: np.float64(6.770598692093891), 1: np.float64(9.326453366158141)}\n", + "ESL: {0: np.float64(9.170546215800558), 1: np.float64(5.32074518598684)}\n", + "SM06: {0: np.float64(29.37707298490696), 1: np.float64(23.958378243862956)}\n", + "F059: {0: np.float64(10.821489132767915), 1: np.float64(15.460363287041123)}\n", + "SM02: {0: np.float64(11.766883552083627), 1: np.float64(11.36902058398467)}\n", + "EGC: {0: np.float64(8.511818066650664), 1: np.float64(10.797383706159625)}\n", + "SM39: {0: np.float64(29.908758277005003), 1: np.float64(29.409322653487937)}\n", + "SHUL: {0: np.float64(5.031011107801472), 1: np.float64(3.776968542603863)}\n", + "HWA: {0: np.float64(4.932002888245019), 1: np.float64(4.432982328570175)}\n", + "EGFH: {0: np.float64(0.6898955504622638), 1: np.float64(0.9700833869114049)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:51,069 - INFO - code == 0 stations for event138: set()\n", + "2026-06-18 15:17:51,069 - INFO - horizontal elements not enough stations for event138: {}\n", + "2026-06-18 15:17:51,071 - INFO - Event: 139 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "FUSS: {0: np.float64(0.002838762157510978), 1: np.float64(2.2949872639053295)}\n", + "ESL: {0: np.float64(10.566989786666673), 1: np.float64(7.263403397284043)}\n", + "SM06: {0: np.float64(51.39552833832241), 1: np.float64(23.4924932655411)}\n", + "E077: {0: np.float64(7.795073567161438), 1: np.float64(11.15107806767693)}\n", + "SM09: {0: np.float64(33.245399043147486), 1: np.float64(45.304056531145136)}\n", + "SM02: {0: np.float64(21.00542180167769), 1: np.float64(44.77468875413931)}\n", + "SM39: {0: np.float64(29.65440861678376), 1: np.float64(46.000786484702886)}\n", + "SHUL: {0: np.float64(8.751131193616102), 1: np.float64(7.950312391587713)}\n", + "HWA: {0: np.float64(7.832138687125364), 1: np.float64(10.36514252804597)}\n", + "NNSH: {0: np.float64(4.9372030175980655), 1: np.float64(2.6465030768280644)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:52,001 - INFO - code == 0 stations for event139: set()\n", + "2026-06-18 15:17:52,002 - INFO - horizontal elements not enough stations for event139: {}\n", + "2026-06-18 15:17:52,003 - INFO - Event: 140 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "SM06: {0: np.float64(9.865506778859693), 1: np.float64(8.49726503436684)}\n", + "E037: {0: np.float64(4.266973245482037), 1: np.float64(4.691251733303614)}\n", + "F059: {0: np.float64(10.47670334225982), 1: np.float64(11.783482627482703)}\n", + "E004: {0: np.float64(5.878807571408744), 1: np.float64(7.0771934434936865)}\n", + "SM02: {0: np.float64(10.554784848875093), 1: np.float64(10.093187466988367)}\n", + "SM09: {0: np.float64(12.26767802292166), 1: np.float64(20.459403847012254)}\n", + "YHNB: {0: np.float64(2.005119919873299), 1: np.float64(1.4199968902149085)}\n", + "NDS: {0: np.float64(1.1497291505284353), 1: np.float64(1.3581155786977113)}\n", + "SHUL: {0: np.float64(3.5914124718703815), 1: np.float64(3.772139188912197)}\n", + "HWA: {0: np.float64(3.146739213898399), 1: np.float64(2.379565350713304)}\n", + "EWT: {0: np.float64(1.9033308138224767), 1: np.float64(1.9716754836773587)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:52,956 - INFO - code == 0 stations for event140: set()\n", + "2026-06-18 15:17:52,957 - INFO - horizontal elements not enough stations for event140: {}\n", + "2026-06-18 15:17:52,958 - INFO - Event: 141 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WPL: {0: np.float64(0.7712988364112882), 1: np.float64(0.7673845901537009)}\n", + "B148: 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{0: np.float64(3.67668225958503), 1: np.float64(3.006574812982031)}\n", + "NNSH: {0: np.float64(1.11424560894107), 1: np.float64(1.5015708225388105)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:53,880 - INFO - code == 0 stations for event141: set()\n", + "2026-06-18 15:17:53,881 - INFO - horizontal elements not enough stations for event141: {}\n", + "2026-06-18 15:17:53,882 - INFO - Event: 142 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "WFEN: {0: np.float64(14.5233024823043), 1: np.float64(14.997882101483944)}\n", + "WCS: {0: np.float64(3.6303305778806085), 1: np.float64(3.686283405180927)}\n", + "F042: {0: np.float64(12.80160526505844), 1: np.float64(12.899266410597084)}\n", + "G041: {0: np.float64(15.270383738503297), 1: np.float64(17.957741165876488)}\n", + "B090: {0: np.float64(26.98868314370101), 1: np.float64(22.237297743741248)}\n", + "SM39: {0: np.float64(395.198588506111), 1: np.float64(330.4381454438698)}\n", + "SHUL: {0: np.float64(91.9882617615405), 1: np.float64(108.38816930633824)}\n", + "F002: {0: np.float64(109.55343331528053), 1: np.float64(76.31506248687624)}\n", + "SML: {0: np.float64(31.760249946969527), 1: np.float64(45.24480169708888)}\n", + "F059: {0: np.float64(135.2928361405276), 1: np.float64(237.19125124473564)}\n", + "FUSB: {0: np.float64(6.585784028336251), 1: np.float64(6.043748986058699)}\n", + "HWA: {0: np.float64(85.33048086357412), 1: np.float64(69.14813619499613)}\n", + "ECB: {0: np.float64(49.74959143793991), 1: np.float64(39.103537729220555)}\n", + "TPUB: {0: np.float64(4.712890182472066), 1: np.float64(7.095527645708407)}\n", + "TDCB: {0: np.float64(10.351192083756688), 1: np.float64(18.889171705828442)}\n", + "LATB: {0: np.float64(39.27424338428284), 1: np.float64(68.0393161222641)}\n", + "ESL: {0: np.float64(52.35237143965196), 1: np.float64(171.01171962453697)}\n", + "SM06: {0: np.float64(456.4360681996906), 1: 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np.float64(21.088095087431842)}\n", + "SM02: {0: np.float64(187.89693541823314), 1: np.float64(199.43754711533413)}\n", + "NNSH: {0: np.float64(12.387269855146958), 1: np.float64(13.028900905169541)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:56,094 - INFO - code == 0 stations for event142: set()\n", + "2026-06-18 15:17:56,094 - INFO - horizontal elements not enough stations for event142: {}\n", + "2026-06-18 15:17:56,095 - INFO - Event: 143 started\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "ESL: {0: np.float64(9.365691854403337), 1: np.float64(9.23796292253928)}\n", + "F059: {0: np.float64(45.63311622520499), 1: np.float64(44.223995231267814)}\n", + "ELD: {0: np.float64(3.6959715239236384), 1: np.float64(3.2504276567524983)}\n", + "YULB: {0: np.float64(6.2096722014880115), 1: np.float64(5.32943781842886)}\n", + "EGC: {0: np.float64(47.549204870912575), 1: np.float64(38.13560589915407)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:56,386 - WARNING - time data '2024-04-03T01:59:57' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,387 - WARNING - time data '2024-04-03T02:00:37' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,396 - WARNING - time data '2024-04-03T01:59:57' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,397 - WARNING - time data '2024-04-03T02:00:37' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,403 - WARNING - time data '2024-04-03T01:59:57' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,404 - WARNING - time data '2024-04-03T02:00:37' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,404 - WARNING - time data '2024-04-03T01:58:17' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,405 - WARNING - time data '2024-04-03T02:02:17' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,413 - WARNING - time data '2024-04-03T01:59:57' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,414 - WARNING - time data '2024-04-03T02:00:37' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,415 - WARNING - time data '2024-04-03T01:58:17' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n", + "2026-06-18 15:17:56,415 - WARNING - time data '2024-04-03T02:02:17' does not match format '%Y-%m-%dT%H:%M:%S.%f', so we use %Y-%m-%dT%H:%M:%S\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "B215: {0: np.float64(9.973931601471435), 1: np.float64(11.013606237039983)}\n", + "SM02: {0: np.float64(36.7947515466597), 1: np.float64(36.127051969419746)}\n", + "F002: {0: np.float64(18.587507131871035), 1: np.float64(25.604100023254514)}\n", + "WUSB: {0: np.float64(11.864758738444365), 1: np.float64(16.15234574312489)}\n", + "EDH: {0: np.float64(2.2053041495081644), 1: np.float64(2.0658256496015377)}\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "2026-06-18 15:17:56,660 - INFO - code == 0 stations for event143: set()\n", + "2026-06-18 15:17:56,661 - INFO - horizontal elements not enough stations for event143: {}\n", + "2026-06-18 15:17:56,784 - INFO - Magnitude calculation completed.\n", + "2026-06-18 15:17:56,786 - INFO - Running DitingMotion (Polarity)...\n", + "2026-06-18 15:17:56,845 - INFO - DitingMotion starting: 2451 picks, 2 processes\n", + "2026-06-18 15:17:56,963 - INFO - Processing 50 chunks of ~50 picks each\n", + "2026-06-18 15:20:06,538 - INFO - DitingMotion completed: 2451 picks in 129.69s (18.9 picks/sec)\n", + "2026-06-18 15:20:06,571 - INFO - Results saved to demo_results/polarity_picks.csv\n", + "2026-06-18 15:20:06,573 - INFO - DitingMotion completed.\n", + "2026-06-18 15:20:06,574 - INFO - Running GAfocal...\n", + "2026-06-18 15:20:06,575 - INFO - Format converting with polarity and magnitude...\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "we have 144 events in total.\n", + "Magnitude data provided, updating both magnitude and polarity.\n", + "Processing time: 1.02 seconds\n", + " Input the phase file\n", + " Pfile : 240403001737.P24 \n", + " 1.00000000 \n", + " # of solutions: 1\n", + "240403001737.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403002101.P24 \n", + " 1.00000000 \n", + " # 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+ "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403013327.P24 \n", + " 0.920000017 \n", + " # of solutions: 1\n", + "240403013327.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403013856.P24 \n", + " 0.833333313 \n", + " # of solutions: 1\n", + "240403013856.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403013936.P24 \n", + " 0.931034505 \n", + " # of solutions: 1\n", + "240403013936.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403014544.P24 \n", + " 1.00000000 \n", + " # of solutions: 1\n", + "240403014544.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403014829.P24 \n", + " 0.666666687 \n", + " # of solutions: 2\n", + "240403014829.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403014901.P24 \n", + " 0.857142866 \n", + " # of solutions: 1\n", + "240403014901.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403014941.P24 \n", + " 1.00000000 \n", + " # of solutions: 2\n", + "240403014941.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + " Pfile : 240403015358.P24 \n", + " 0.931034505 \n", + " # of solutions: 1\n", + "240403015358.P24\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "psbasemap: Constructing basemap\n", + "pstext: Plotted 1 text-strings\n", + "psmeca: Number of records read: 1\n", + "2026-06-18 15:20:17,519 - INFO - GAfocal completed.\n", + "2026-06-18 15:20:17,521 - INFO - Pipeline run completed: demo\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "Pipeline finished. Outputs in: demo_results\n" + ] + } + ], + "source": [ + "# Mirror predict.main(): set up logging, then execute the run\n", + "predict.setup_logging(config.result_path, config.name)\n", + "predict.run_pipeline(config)\n", "\n", - "for i, row in enumerate(df.itertuples()):\n", - " mt = pmt.MomentTensor(\n", - " strike=row.strike,\n", - " dip=row.dip,\n", - " rake=row.rake,\n", - " )\n", - " beachball.plot_beachball_mpl(\n", - " mt, geo_ax, size=20, beachball_type='full',\n", - " position=(row.longitude, row.latitude), linewidth=1,\n", - " color_t=mpl_color('k'),\n", - " zorder=9\n", - " )" + "print(\"\\nPipeline finished. Outputs in:\", config.result_path)" ] } ], "metadata": { "kernelspec": { - "display_name": "AutoQuake_v0", + "display_name": "Python 3", "language": "python", "name": "python3" }, diff --git a/env-codespace.yml b/env-codespace.yml index 3c7f112..eb38351 100644 --- a/env-codespace.yml +++ b/env-codespace.yml @@ -1,29 +1,40 @@ +# Codespaces / devcontainer conda environment. +# +# Mirrors env.yml (the local/CI source of truth) with two deliberate changes: +# 1. CPU-only PyTorch -> Codespaces has no GPU and the CUDA build is ~2 GB larger. +# 2. Jupyter tooling -> interactive online development. +# +# Keep the core dependency list below in sync with env.yml when it changes. name: AutoQuake_v0 channels: - conda-forge dependencies: + # --- core (mirrors env.yml) --- - python==3.10.13 - - numpy + - numpy>=1.21.6 - pandas - - scikit-learn + - scikit-learn>=1.6.0 - tqdm - matplotlib - h5py - obspy>=1.3.1 - scipy - - pygmt - - geopy - - cartopy - - pip - fsspec - numba - pydantic + - pyproj + - onnx + - onnxruntime + - pytest + - pytest-cov + # --- visualization (imported by autoquake's plotting modules) --- + - pygmt + - cartopy + # --- interactive dev (Codespaces only) --- - ipykernel - jupyterlab + - pip - pip: - # CPU-only PyTorch (much smaller than CUDA version - saves ~2GB) + # CPU-only PyTorch: much smaller than the CUDA build, and Codespaces has no GPU. - torch --index-url https://download.pytorch.org/whl/cpu - torchvision --index-url https://download.pytorch.org/whl/cpu - - pyrocko - - onnx - - onnxruntime diff --git a/env.yml b/env.yml index 776dfb9..6d3f919 100644 --- a/env.yml +++ b/env.yml @@ -1,4 +1,4 @@ -name: AutoQuake_new +name: AutoQuake channels: - conda-forge dependencies: @@ -16,10 +16,11 @@ dependencies: - numba - pydantic - pyproj + - pytest + - pytest-cov + - onnx + - onnxruntime - pip: - torch - torchvision - - onnx - - onnxruntime - - ipykernel diff --git a/images/for_contributor.png b/images/for_contributor.png deleted file mode 100644 index be03ad4..0000000 Binary files a/images/for_contributor.png and /dev/null differ diff --git a/images/for_normal_user.png b/images/for_normal_user.png deleted file mode 100644 index 977e8fc..0000000 Binary files a/images/for_normal_user.png and /dev/null differ diff --git a/log/config.json b/log/config.json deleted file mode 100644 index 503aaaa..0000000 --- a/log/config.json +++ /dev/null @@ -1,28 +0,0 @@ -{ - "LoggingConfig":{ - "version": 1, - "disable_existing_loggers": false, - "formatters": { - "default": { - "format": "%(asctime)s - %(name)s - %(levelname)s - %(message)s" - } - }, - "handlers": { - "console": { - "class": "logging.StreamHandler", - "formatter": "default", - "level": "INFO" - }, - "file": { - "class": "logging.FileHandler", - "formatter": "default", - "filename": "logging.log", - "level": "DEBUG" - } - }, - "root": { - "handlers": ["console", "file"], - "level": "DEBUG" - } - } -} \ No newline at end of file diff --git a/predict.py b/predict.py index d2bd40e..8f04755 100644 --- a/predict.py +++ b/predict.py @@ -1,5 +1,16 @@ +#!/usr/bin/env python +""" +AutoQuake CLI - Automated Earthquake Catalog Generation Pipeline + +Usage: + python predict.py --config config.json + python predict.py --config config.json --dry-run +""" +import argparse import json import logging +import sys +import pandas as pd from pathlib import Path from autoquake.associator import GaMMA @@ -9,128 +20,376 @@ from autoquake.polarity import DitingMotion from autoquake.relocator import H3DD from autoquake.utils import gamma_preprocessing, pol_mag_to_dout, process_for_h3dd_twice -from ParamConfig.config_model import MainConfig - -# Path of config file -CONFIG_JSON = Path(__file__).parents[0].resolve() / 'ParamConfig' / 'params.json' +from ParamConfig.config_model import ( + BatchConfig, + PathResolver, + RunConfig, +) -if __name__ == '__main__': - - # Load config file - with open(CONFIG_JSON, "r", encoding="utf-8") as f: - config_dict = json.load(f) - config = MainConfig(**config_dict) - - # Initialize result path - config.result_path.mkdir(parents=True, exist_ok=True) +def pass_type_judge(sta: str)->bool: + return True +def setup_logging(result_path: Path, config_name: str) -> None: + """Setup logging for a pipeline run.""" + log_file = result_path / f'autoquake_{config_name}.log' logging.basicConfig( - filename=config.result_path / 'logging_file.log', + filename=log_file, filemode='w', format='%(asctime)s - %(name)s - %(levelname)s - %(message)s', level=logging.INFO, ) - - logging.info('Running PhaseNet...') - run_predict(config.PhaseNet.args_list) - phase_picks = PhaseNet.concat_picks( - date_list=config.PhaseNet.date_list, - result_path=config.result_path - ) + # Also log to console + console = logging.StreamHandler() + console.setLevel(logging.INFO) + formatter = logging.Formatter('%(asctime)s - %(levelname)s - %(message)s') + console.setFormatter(formatter) + logging.getLogger('').addHandler(console) - logging.info('Running GaMMA...') - post_phasenet_pickings = gamma_preprocessing( - pickings=phase_picks, - output_dir=config.result_path - ) - - gamma = GaMMA( - station=config.GaMMA.station, - result_path=config.result_path, - center=config.GaMMA.center, # optional - xlim_degree=config.GaMMA.xlim_degree, # optional - ylim_degree=config.GaMMA.ylim_degree, # optional - pickings=post_phasenet_pickings, - vel_model=config.GaMMA.velocity_model, # optional - min_p_picks_per_eq=config.GaMMA.min_p_picks_per_eq, - min_s_picks_per_eq=config.GaMMA.min_s_picks_per_eq, - dbscan_eps=config.GaMMA.eps, - ncpu=config.GaMMA.cpu_number, - use_amplitude=config.GaMMA.use_amplitude # optional, default as False - ) - gamma.run_predict() - - logging.info('H3DD first start') - h3dd = H3DD( - gamma_event=gamma.get_events(), - gamma_picks=gamma.get_picks(), - result_path=config.result_path, - station=config.H3DD.station, - model_3d=config.H3DD.model_3D, - event_name=config.H3DD.event_name_for_first_h3dd, # This for naming dout and hout. - cut_off_distance_for_dd=config.H3DD.cutoff_distance_for_first_h3dd - ) - h3dd.run_h3dd() - - logging.info('processing first H3DD results') - h3dd_events_first, h3dd_picks_first = process_for_h3dd_twice( - station=config.H3DD.station, - dout=h3dd.get_dout(), - event_name_1=config.H3DD.event_name_for_first_h3dd, # This for naming csv for first H3DD. - result_path=config.result_path - ) - logging.info('H3DD second start') - h3dd_2 = H3DD( - gamma_event=h3dd_events_first, - gamma_picks=h3dd_picks_first, - result_path=config.result_path, - station=config.H3DD.station, - model_3d=config.H3DD.model_3D, - event_name=config.H3DD.event_name_for_second_h3dd, - cut_off_distance_for_dd=config.H3DD.cutoff_distance_for_second_h3dd - ) - h3dd_2.run_h3dd() - - - logging.info('Mag_started') - mag = Magnitude( - dout_file=h3dd_2.get_dout(), - station=config.Mag.station, - sac_parent_dir=config.Mag.sac_parent_dir, - pz_dir=config.Mag.pz_dir, - output_dir=config.result_path, +def run_pipeline(config: RunConfig) -> None: + """Execute a single pipeline run based on configuration.""" + logging.info(f'Starting pipeline run: {config.name}') + + # Initialize paths + config.result_path.mkdir(parents=True, exist_ok=True) + resolver = PathResolver(config.result_path) + + # Track outputs for downstream components + phase_picks = None + gamma_events = None + gamma_picks = None + h3dd_dout = None + h3dd_reorder_event = None + mag_events = None + mag_picks = None + + # ========================================================================= + # Phase 1: PhaseNet + # ========================================================================= + if config.is_component_enabled('PhaseNet'): + logging.info('Running PhaseNet...') + run_predict(config.PhaseNet.args_list) + phase_picks = PhaseNet.concat_picks( + date_list=config.PhaseNet.date_list, + result_path=config.result_path + ) + logging.info(f'PhaseNet completed. Output: {phase_picks}') + + # ========================================================================= + # Phase 2: GaMMA + # ========================================================================= + if config.is_component_enabled('GaMMA'): + logging.info('Running GaMMA...') + + # Resolve picks input + if phase_picks is None: + picks_input = resolver.resolve_picks(config.GaMMA.picks_csv) + else: + picks_input = phase_picks + + # Preprocessing phasenet picks's station_id (e.g. "TW.SHUL.00.HL" -> "SHUL") and filter out picks with station_id not in station.csv. + post_phasenet_pickings = gamma_preprocessing( + picks=picks_input, + station=config.GaMMA.station, + ) + + gamma = GaMMA( + station=config.GaMMA.station, + result_path=config.result_path, + center=config.GaMMA.center, + xlim_degree=config.GaMMA.xlim_degree, + ylim_degree=config.GaMMA.ylim_degree, + pickings=post_phasenet_pickings, + vel_model=config.GaMMA.velocity_model, + min_p_picks_per_eq=config.GaMMA.min_p_picks_per_eq, + min_s_picks_per_eq=config.GaMMA.min_s_picks_per_eq, + dbscan_eps=config.GaMMA.eps, + ncpu=config.GaMMA.cpu_number, + use_amplitude=config.GaMMA.use_amplitude + ) + gamma.run_predict() + gamma_events = gamma.get_events() + gamma_picks = gamma.get_picks() + logging.info('GaMMA completed.') + + # ========================================================================= + # Phase 3: H3DD + # ========================================================================= + if config.is_component_enabled('H3DD'): + logging.info('Running H3DD...') + + # Resolve inputs + if gamma_events is None: + events_input = resolver.resolve_gamma_events(config.H3DD.events_csv) + else: + events_input = gamma_events + + if gamma_picks is None: + picks_input = resolver.resolve_gamma_picks(config.H3DD.picks_csv) + else: + picks_input = gamma_picks + + current_events = events_input + current_picks = picks_input + + # Get number of runs from config + run_count = config.H3DD.get_run_count() + + # Run H3DD iterations + for run_idx in range(run_count): + run_config = config.H3DD.get_run_config(run_idx) + if run_config is None: + continue + + event_name = run_config.event_name + cutoff = run_config.cutoff_distances + + logging.info(f'H3DD run {run_idx + 1}/{run_count}: ' + f'event_name={event_name}, cutoff={cutoff}') + + h3dd = H3DD( + gamma_event=current_events, + gamma_picks=current_picks, + result_path=config.result_path, + station=config.H3DD.station, + model_3d=config.H3DD.model_3D, + event_name=event_name, + cut_off_distance_for_dd=cutoff, + # H3DD algorithm parameters + weights=config.H3DD.weights, + priori_weight=config.H3DD.priori_weight, + inv=config.H3DD.inv, + damping_factor=config.H3DD.damping_factor, + rmscut=config.H3DD.rmscut, + max_iter=config.H3DD.max_iter, + constrain_factor=config.H3DD.constrain_factor, + joint_inv_with_single_event_method=config.H3DD.joint_inv_with_single_event_method, + consider_elevation=config.H3DD.consider_elevation + ) + h3dd.run_h3dd() + h3dd_dout = h3dd.get_dout() + + # Capture reorder event from first run, record original gamma_index and h3dd_index. + # Since the idx of events may change after later iteration. + if run_idx == 0: + h3dd_reorder_event = h3dd.get_df_reorder_event() + + # Prepare for next iteration if needed + if run_idx < run_count - 1: + logging.info('Processing H3DD results for next iteration...') + current_events, current_picks = process_for_h3dd_twice( + station=config.H3DD.station, + dout=h3dd_dout, + event_name_1=event_name, + result_path=config.result_path + ) + + logging.info('H3DD completed.') + + # ========================================================================= + # Phase 4: Magnitude + # ========================================================================= + if config.is_component_enabled('Magnitude'): + logging.info('Running Magnitude calculation...') + + # Resolve dout input + if h3dd_dout is None: + dout_input = resolver.resolve_dout(config.Magnitude.dout_file) + else: + dout_input = h3dd_dout + + mag = Magnitude( + dout_file=dout_input, + station=config.Magnitude.station, + sac_parent_dir=config.Magnitude.sac_parent_dir, + pz_dir=config.Magnitude.pz_dir, + output_dir=config.result_path, + ) + mag.run_mag(processes=config.Magnitude.cpu_number) + mag_events = mag.get_events() + mag_picks = mag.get_picks() + logging.info('Magnitude calculation completed.') + + # ========================================================================= + # Phase 5: Polarity (DitingMotion) + # ========================================================================= + polarity_picks = None + if config.is_component_enabled('Polarity'): + logging.info('Running DitingMotion (Polarity)...') + + # Input precedence for Polarity: GaMMA > PhaseNet > explicit Polarity.picks_csv + # Manual file is only intended when both GaMMA and PhaseNet are disabled. + picks_input = None + if gamma_picks is not None: + if config.is_component_enabled('H3DD') and h3dd_reorder_event is not None: + # If H3DD is enabled, pass picks with mapped h3dd_event_index to DitingMotion. + index_map = dict(zip(h3dd_reorder_event['event_index'], h3dd_reorder_event['h3dd_event_index'])) + picks_df = pd.read_csv(gamma_picks) + picks_df['h3dd_event_index'] = picks_df['event_index'].map(index_map).fillna(-1).astype(int) + picks_input = config.result_path / 'gamma_picks_with_h3dd_index.csv' + picks_df.to_csv(picks_input, index=False) + else: + picks_input = gamma_picks + elif phase_picks is not None: + picks_input = phase_picks + elif config.Polarity.picks_csv is not None: + picks_input = resolver.resolve_gamma_picks(config.Polarity.picks_csv) + + if picks_input is None: + raise ValueError('Polarity is enabled but no picks source is available.') + + # Determine data directory + sac_dir = config.Polarity.sac_parent_dir + # h5_dir = config.Polarity.h5_parent_dir + + # if sac_dir: + dt_polarity = DitingMotion( + picks_csv=picks_input, + output_dir=config.result_path, + sac_parent_dir=sac_dir, + # type_judge=pass_type_judge + ) + # elif h5_dir: + # dt_polarity = DitingMotion( + # gamma_picks=picks_input, + # output_dir=config.result_path, + # h5_parent_dir=h5_dir, + # type_judge=config.Polarity.type_judge + # ) + # else: + # raise ValueError('Polarity config requires either sac_parent_dir or h5_parent_dir') + + dt_polarity.run_parallel_predict(processes=config.Polarity.cpu_number) + polarity_picks = dt_polarity.get_picks() + logging.info('DitingMotion completed.') + + # ========================================================================= + # Phase 6: Focal Mechanism (GAfocal) + # ========================================================================= + if config.is_component_enabled('Focal'): + logging.info('Running GAfocal...') + + # Resolve dout input + if h3dd_dout is None: + dout_input = resolver.resolve_dout(config.Focal.dout_file) + + else: + dout_input = h3dd_dout + + # Format conversion with polarity and magnitude + if config.is_component_enabled('Polarity') and polarity_picks is not None: + logging.info('Format converting with polarity and magnitude...') + if config.is_component_enabled('Magnitude'): + df_mag_event = pd.read_csv(mag_events) + df_mag_pick = pd.read_csv(mag_picks) + + df_pol = pd.read_csv(polarity_picks) + polarity_dout_path = config.result_path / 'polarity.dout' + pol_mag_to_dout( + ori_dout=dout_input, + df_pol=df_pol, + output_dout=polarity_dout_path, + df_mag_event=df_mag_event, + df_mag_pick=df_mag_pick, + ) + gafocal_dout = polarity_dout_path + else: + # If you give specific dout, we suppose you already have polarity info in it. + #TODO: But I think we still need to check whether the format is correct. + gafocal_dout = dout_input + + gafocal = GAfocal( + dout_path=gafocal_dout, + result_path=config.result_path + ) + gafocal.run() + logging.info('GAfocal completed.') + + logging.info(f'Pipeline run completed: {config.name}') + + +def parse_args() -> argparse.Namespace: + """Parse command line arguments.""" + parser = argparse.ArgumentParser( + description='AutoQuake - Automated Earthquake Catalog Generation Pipeline', + formatter_class=argparse.RawDescriptionHelpFormatter, + epilog=''' +Examples: + python predict.py --config config.json + python predict.py --config config.json --dry-run + python predict.py -c params.json + ''' ) - mag.run_mag(processes=config.Mag.cpu_number) - - logging.info('Running DitingMotion...') - dt_polarity = DitingMotion( - gamma_picks=gamma.get_picks(), - output_dir=config.result_path, - sac_parent_dir=config.Diting.sac_parent_dir, - h5_parent_dir=config.Diting.h5_parent_dir, - interval=config.Diting.interval, - sampling_rate=config.Diting.sampling_rate, - need_resample=config.Diting.need_resample, - chunk_size=config.Diting.chunk_size, - das_in_data=config.Diting.das_in_data, - type_judge=config.Diting.type_judge, + parser.add_argument( + '--config', '-c', + type=Path, + required=True, + help='Path to JSON configuration file' ) - dt_polarity.run_parallel_predict(processes=config.Diting.cpu_number) - - logging.info('Format converting with pol and mag...') - dout_file_name = pol_mag_to_dout( - ori_dout=h3dd_2.get_dout(), - result_path=config.result_path, - df_reorder_event=h3dd.get_df_reorder_event(), - polarity_picks=dt_polarity.get_picks(), - magnitude_events=mag.get_events(), - magnitude_picks=mag.get_picks() + parser.add_argument( + '--dry-run', + action='store_true', + help='Validate configuration without executing pipeline' ) + return parser.parse_args() - logging.info('GAfocal start') - gafocal = GAfocal( - dout_file_name=dout_file_name, # The reason why here is a str is due to GAfocal execute in-place. - result_path=config.result_path - ) - gafocal.run() + +def load_config(config_path: Path) -> BatchConfig: + """Load and validate configuration file.""" + if not config_path.exists(): + raise FileNotFoundError(f'Configuration file not found: {config_path}') + + with open(config_path, 'r', encoding='utf-8') as f: + config_dict = json.load(f) + + return BatchConfig(**config_dict) + + +def main() -> int: + """Main entry point.""" + args = parse_args() + + try: + print(f'Loading configuration from: {args.config}') + batch_config = load_config(args.config) + print(f'Found {len(batch_config.configs)} configuration(s) to run') + + if args.dry_run: + print('\n=== DRY RUN MODE ===') + for i, config in enumerate(batch_config.configs, 1): + print(f'\nConfig {i}: {config.name}') + print(f' Result path: {config.result_path}') + print(f' Components:') + for component in ['PhaseNet', 'GaMMA', 'H3DD', 'Magnitude', 'Polarity', 'Focal']: + enabled = config.is_component_enabled(component) + status = '[+] enabled' if enabled else '[-] disabled' + print(f' - {component}: {status}') + print('\nConfiguration is valid.') + return 0 + + # Execute each configuration + for i, config in enumerate(batch_config.configs, 1): + print(f'\n{"=" * 60}') + print(f'Running configuration {i}/{len(batch_config.configs)}: {config.name}') + print(f'{"=" * 60}') + + setup_logging(config.result_path, config.name) + run_pipeline(config) + + print('\nAll pipeline runs completed successfully.') + return 0 + + except FileNotFoundError as e: + print(f'Error: {e}', file=sys.stderr) + return 1 + except ValueError as e: + print(f'Configuration error: {e}', file=sys.stderr) + return 1 + except Exception as e: + print(f'Unexpected error: {e}', file=sys.stderr) + logging.exception('Pipeline failed') + return 1 + + +if __name__ == '__main__': + sys.exit(main()) diff --git a/pyproject.toml b/pyproject.toml index 777f37b..03d172a 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -9,6 +9,19 @@ exclude = [ [tool.ruff.lint] select = ["E", "F", "I", "UP"] +ignore = ["E402", "E501"] [tool.ruff.format] -quote-style = "single" \ No newline at end of file +quote-style = "single" + +[tool.pytest.ini_options] +# Put the repo root on sys.path so `ParamConfig`, `autoquake` and `predict` +# import cleanly when pytest is run from the project root. +pythonpath = ["."] +testpaths = ["tests"] +addopts = "-ra --strict-markers" +markers = [ + "unit: fast, pip-only checks of the configuration layer (run anywhere)", + "integration: real pipeline runs needing the full conda env + binaries", + "slow: long-running tests (the end-to-end pipeline)", +] \ No newline at end of file diff --git a/requirements.txt b/requirements.txt deleted file mode 100644 index 261fff6..0000000 --- a/requirements.txt +++ /dev/null @@ -1,18 +0,0 @@ -python_version==3.10.13 -numpy -pandas -scikit-learn -tqdm -matplotlib -h5py -obspy>=1.3.1 -scipy -pygmt -geopy -cartopy -fsspec -torch -torchvision -pyrocko -onnx -onnxruntime \ No newline at end of file diff --git a/scripts/check-submodule-compat.py b/scripts/check-submodule-compat.py new file mode 100644 index 0000000..b1b71be --- /dev/null +++ b/scripts/check-submodule-compat.py @@ -0,0 +1,342 @@ +#!/usr/bin/env python3 +""" +Submodule Compatibility Checker for AutoQuake + +This script checks for potential compatibility issues when updating git submodules. +It analyzes dependency changes, API changes, and runs tests to identify issues. + +Usage: + # 1. Fetch submodule updates (without merging) + git submodule update --remote --no-merge + + # 2. Run this script to check compatibility + python scripts/check-submodule-compat.py + + # 3. If all looks good, merge the updates + git submodule update --remote --merge +""" + +import subprocess +import sys +import re +import ast +from pathlib import Path +from configparser import ConfigParser +from dataclasses import dataclass, field + + +@dataclass +class SubmoduleInfo: + """Information about a git submodule.""" + + name: str + path: Path + current_commit: str = '' + incoming_commit: str = '' + has_updates: bool = False + + +@dataclass +class CompatibilityReport: + """Report of compatibility issues for a submodule.""" + + submodule: str + dependency_changes: list[str] = field(default_factory=list) + api_breaking_changes: list[str] = field(default_factory=list) + warnings: list[str] = field(default_factory=list) + test_failures: list[str] = field(default_factory=list) + + +def get_all_submodules() -> list[SubmoduleInfo]: + """Auto-detect all submodules from .gitmodules file.""" + gitmodules = Path('.gitmodules') + if not gitmodules.exists(): + print('No .gitmodules file found.') + return [] + + config = ConfigParser() + config.read(gitmodules) + + submodules = [] + for section in config.sections(): + if section.startswith('submodule'): + # Extract name from section like 'submodule "autoquake/GaMMA"' + match = re.search(r'"([^"]+)"', section) + name = match.group(1) if match else section + path = config.get(section, 'path') + submodules.append(SubmoduleInfo(name=name, path=Path(path))) + + return submodules + + +def get_submodule_commits(submodule: SubmoduleInfo) -> SubmoduleInfo: + """Get current and incoming commit hashes for a submodule.""" + if not submodule.path.exists(): + return submodule + + # Get current HEAD commit + try: + result = subprocess.run( + ['git', 'rev-parse', 'HEAD'], + cwd=submodule.path, + capture_output=True, + text=True, + check=True, + ) + submodule.current_commit = result.stdout.strip()[:7] + except subprocess.CalledProcessError: + submodule.current_commit = 'unknown' + + # Get FETCH_HEAD (incoming) commit + try: + result = subprocess.run( + ['git', 'rev-parse', 'FETCH_HEAD'], + cwd=submodule.path, + capture_output=True, + text=True, + check=True, + ) + submodule.incoming_commit = result.stdout.strip()[:7] + submodule.has_updates = submodule.current_commit != submodule.incoming_commit + except subprocess.CalledProcessError: + submodule.incoming_commit = submodule.current_commit + submodule.has_updates = False + + return submodule + + +def check_dependency_changes(submodule: SubmoduleInfo) -> list[str]: + """Check for dependency changes in submodule's requirements.""" + changes = [] + + req_files = [ + submodule.path / 'requirements.txt', + submodule.path / 'pyproject.toml', + submodule.path / 'setup.py', + ] + + for req_file in req_files: + if req_file.exists(): + # Get diff between current and incoming versions + try: + result = subprocess.run( + ['git', 'diff', 'HEAD', 'FETCH_HEAD', '--', req_file.name], + cwd=submodule.path, + capture_output=True, + text=True, + ) + if result.stdout.strip(): + # Parse the diff to extract meaningful changes + for line in result.stdout.split('\n'): + if line.startswith('+') and not line.startswith('+++'): + dep = line[1:].strip() + if dep and not dep.startswith('#'): + changes.append(f'Added/Changed: {dep}') + elif line.startswith('-') and not line.startswith('---'): + dep = line[1:].strip() + if dep and not dep.startswith('#'): + changes.append(f'Removed: {dep}') + except subprocess.CalledProcessError: + pass + + return changes + + +def find_imports_from_submodule(submodule_name: str) -> list[tuple[str, int, str]]: + """Find all imports from a submodule in the autoquake directory.""" + imports = [] + autoquake_dir = Path('autoquake') + + if not autoquake_dir.exists(): + return imports + + # Map submodule names to import patterns + import_patterns = { + 'autoquake/GaMMA': ['gamma', 'GaMMA'], + 'autoquake/EQNet': ['eqnet', 'EQNet', 'phasenet', 'PhaseNet'], + } + + patterns = import_patterns.get(submodule_name, [submodule_name.split('/')[-1]]) + + for py_file in autoquake_dir.rglob('*.py'): + try: + content = py_file.read_text(encoding='utf-8') + for i, line in enumerate(content.split('\n'), 1): + for pattern in patterns: + if f'from {pattern}' in line or f'import {pattern}' in line: + imports.append((str(py_file), i, line.strip())) + except Exception: + pass + + return imports + + +def check_api_changes(submodule: SubmoduleInfo) -> list[str]: + """Check for API changes that might affect AutoQuake.""" + changes = [] + + # Find what we import from this submodule + imports = find_imports_from_submodule(submodule.name) + + if imports: + changes.append(f'Found {len(imports)} imports from {submodule.name}:') + for file, line, import_stmt in imports[:5]: # Show first 5 + changes.append(f' - {file}:{line}: {import_stmt}') + if len(imports) > 5: + changes.append(f' ... and {len(imports) - 5} more') + + # Check if there are changes in Python files + try: + result = subprocess.run( + ['git', 'diff', '--name-only', 'HEAD', 'FETCH_HEAD'], + cwd=submodule.path, + capture_output=True, + text=True, + ) + changed_files = [f for f in result.stdout.strip().split('\n') if f.endswith('.py')] + if changed_files: + changes.append(f'\nPython files changed in {submodule.name}:') + for f in changed_files[:10]: + changes.append(f' - {f}') + if len(changed_files) > 10: + changes.append(f' ... and {len(changed_files) - 10} more') + except subprocess.CalledProcessError: + pass + + return changes + + +def run_tests() -> tuple[bool, list[str]]: + """Run the test suite and return results.""" + failures = [] + + print('\nRunning tests with current submodule versions...') + result = subprocess.run( + ['python', '-m', 'pytest', 'tests/', '-v', '--tb=short', '-x'], + capture_output=True, + text=True, + ) + + if result.returncode != 0: + # Extract failure information + for line in result.stdout.split('\n'): + if 'FAILED' in line or 'ERROR' in line: + failures.append(line.strip()) + + # Also include stderr if there were import errors + if 'ModuleNotFoundError' in result.stderr or 'ImportError' in result.stderr: + for line in result.stderr.split('\n'): + if 'Error' in line: + failures.append(line.strip()) + + return result.returncode == 0, failures + + +def print_report(reports: list[CompatibilityReport], test_passed: bool, test_failures: list[str]): + """Print the compatibility report.""" + print('\n' + '=' * 60) + print('SUBMODULE COMPATIBILITY REPORT') + print('=' * 60) + + # Summarize submodules with updates + submodules_with_updates = [r for r in reports if r.dependency_changes or r.api_breaking_changes] + + if not submodules_with_updates and test_passed: + print('\n All submodules are compatible. Safe to merge.') + return + + for report in reports: + if report.dependency_changes or report.api_breaking_changes or report.warnings: + print(f'\n[{report.submodule}]') + print('-' * 45) + + if report.dependency_changes: + print('\n DEPENDENCY CHANGES:') + for change in report.dependency_changes: + print(f' {change}') + + if report.api_breaking_changes: + print('\n API CHANGES (review required):') + for change in report.api_breaking_changes: + print(f' {change}') + + if report.warnings: + print('\n Warnings:') + for warning in report.warnings: + print(f' {warning}') + + # Test results + print('\n' + '=' * 60) + print('TEST RESULTS') + print('=' * 60) + + if test_passed: + print('\n All tests passed!') + else: + print('\n Some tests failed:') + for failure in test_failures: + print(f' {failure}') + + # Summary and recommendations + print('\n' + '=' * 60) + print('RECOMMENDATIONS') + print('=' * 60) + + if test_passed and not submodules_with_updates: + print('\n Safe to merge submodule updates.') + print(' git submodule update --remote --merge') + else: + print('\n Before merging:') + if not test_passed: + print(' 1. Fix failing tests') + if submodules_with_updates: + print(' 2. Review API changes and update code if needed') + print('\n After fixes:') + print(' git submodule update --remote --merge') + + +def main(): + """Main entry point.""" + print('=' * 60) + print('AutoQuake Submodule Compatibility Checker') + print('=' * 60) + + # Get all submodules + submodules = get_all_submodules() + + if not submodules: + print('No submodules found.') + return + + print(f'\nDetected submodules: {", ".join(s.name for s in submodules)}') + + # Check each submodule + reports = [] + for sm in submodules: + sm = get_submodule_commits(sm) + + if sm.has_updates: + print(f'\n[{sm.name}] {sm.current_commit} -> {sm.incoming_commit}') + else: + print(f'\n[{sm.name}] {sm.current_commit} (no updates)') + continue + + report = CompatibilityReport(submodule=sm.name) + + # Check dependencies + report.dependency_changes = check_dependency_changes(sm) + + # Check API changes + report.api_breaking_changes = check_api_changes(sm) + + reports.append(report) + + # Run tests + test_passed, test_failures = run_tests() + + # Print final report + print_report(reports, test_passed, test_failures) + + +if __name__ == '__main__': + main() diff --git a/tests/conftest.py b/tests/conftest.py new file mode 100644 index 0000000..5a4a11e --- /dev/null +++ b/tests/conftest.py @@ -0,0 +1,144 @@ +"""Shared pytest fixtures and environment guards for the AutoQuake test suite. + +Two layers of tests live under ``tests/``: + +* ``tests/unit`` -- fast, pure-python checks of the configuration layer + (``ParamConfig/config_model.py``). Depend only on ``pydantic`` + ``pandas``, + so they run anywhere (CI, host, container). +* ``tests/integration`` -- a real end-to-end run of ``predict.py`` on the data + kept in ``tests/``. Needs the full conda environment (torch / obspy / + onnxruntime), the ``EQNet`` + ``GaMMA`` submodules and the Linux ``h3dd`` / + ``gafocal`` binaries, so it auto-skips when any of those is unavailable. + +Fixtures here are resolved relative to this file, so tests no longer require +``cd tests`` to find their data. +""" + +from __future__ import annotations + +import importlib.util +import json +import os +import platform +import shutil +from pathlib import Path + +import pytest + +# Directory holding the test materials (this file lives in ``tests/``). +TEST_DATA_DIR = Path(__file__).resolve().parent +REPO_ROOT = TEST_DATA_DIR.parent +PARAMS_TEST_JSON = TEST_DATA_DIR / 'params_test.json' + + +# --------------------------------------------------------------------------- +# Generic fixtures +# --------------------------------------------------------------------------- +@pytest.fixture +def test_data_dir() -> Path: + """Absolute path to the directory containing the test data + config.""" + return TEST_DATA_DIR + + +@pytest.fixture +def params_test_json() -> Path: + """Absolute path to the canonical example config (``params_test.json``).""" + return PARAMS_TEST_JSON + + +@pytest.fixture +def result_dir(tmp_path: Path) -> Path: + """A throwaway result directory so runs never pollute the repo.""" + out = tmp_path / 'result' + out.mkdir() + return out + + +@pytest.fixture +def params_dict() -> dict: + """Parsed ``params_test.json`` as a plain dict (no validation side effects).""" + with open(PARAMS_TEST_JSON, encoding='utf-8') as f: + return json.load(f) + + +# --------------------------------------------------------------------------- +# Integration environment guards +# --------------------------------------------------------------------------- +def _missing_modules(*names: str) -> list[str]: + return [n for n in names if importlib.util.find_spec(n) is None] + + +def _missing_binaries(*paths: Path) -> list[str]: + missing = [] + for p in paths: + if not (p.exists() and os.access(p, os.X_OK)): + missing.append(str(p)) + return missing + + +def _missing_submodules(*paths: Path) -> list[str]: + # A submodule is "present" once it has been checked out (non-empty dir). + return [str(p) for p in paths if not p.exists() or not any(p.iterdir())] + + +def full_env_skip_reason() -> str | None: + """Return a human-readable reason the full pipeline cannot run, else None. + + Used by the integration test to ``pytest.skip`` cleanly on the macOS host + or a bare CI runner instead of erroring on an import / missing binary. + """ + reasons: list[str] = [] + + # h3dd / gafocal are compiled Linux x86-64 ELF binaries. They carry the + # executable bit on any OS, but only actually run on Linux, so gate on the + # platform rather than just os.access(X_OK). + if platform.system() != 'Linux': + reasons.append( + 'h3dd/gafocal are Linux x86-64 binaries; current platform ' + f'is {platform.system()}' + ) + + missing_mods = _missing_modules('torch', 'obspy', 'onnxruntime', 'numba') + if missing_mods: + reasons.append(f'missing python modules: {", ".join(missing_mods)}') + + missing_subs = _missing_submodules( + REPO_ROOT / 'autoquake' / 'EQNet', + REPO_ROOT / 'autoquake' / 'GaMMA', + ) + if missing_subs: + reasons.append(f'uninitialised submodules: {", ".join(missing_subs)}') + + missing_bins = _missing_binaries( + REPO_ROOT / 'H3DD' / 'h3dd', + REPO_ROOT / 'GAfocal' / 'gafocal', + ) + if missing_bins: + reasons.append(f'missing/non-executable binaries: {", ".join(missing_bins)}') + + return '; '.join(reasons) if reasons else None + + +@pytest.fixture +def require_full_env() -> None: + """Skip the test (cleanly) when the full pipeline env is unavailable.""" + reason = full_env_skip_reason() + if reason: + pytest.skip(f'full pipeline environment unavailable: {reason}') + + +@pytest.fixture +def e2e_workdir(tmp_path: Path, monkeypatch: pytest.MonkeyPatch) -> Path: + """Prepare an isolated copy of the test data and chdir into it. + + ``params_test.json`` uses paths relative to ``tests/`` (e.g. ``test_sac``, + ``station.csv``, ``./vel_model/...``). We copy those materials into a temp + directory and run there so the real pipeline writes its outputs into the + sandbox, leaving the repo untouched. + """ + for name in ('test_sac', 'test_pz', 'vel_model'): + shutil.copytree(TEST_DATA_DIR / name, tmp_path / name) + shutil.copy2(TEST_DATA_DIR / 'station.csv', tmp_path / 'station.csv') + shutil.copy2(PARAMS_TEST_JSON, tmp_path / 'params_test.json') + monkeypatch.chdir(tmp_path) + return tmp_path diff --git a/tests/integration/test_pipeline_e2e.py b/tests/integration/test_pipeline_e2e.py new file mode 100644 index 0000000..34fa7dd --- /dev/null +++ b/tests/integration/test_pipeline_e2e.py @@ -0,0 +1,79 @@ +"""End-to-end integration test: the real 6-stage pipeline on the test data. + +One real ``run_pipeline()`` is executed and then asserted at every stage +boundary, so a regression points straight at the offending stage without any +golden fixtures to maintain. The whole thing auto-skips (via ``require_full_env``) +when the conda env, submodules or the Linux ``h3dd``/``gafocal`` binaries are +unavailable -- e.g. on the macOS host or a bare CI runner. + +Run it inside the devcontainer with:: + + pytest tests/integration -m integration --tb=short +""" + +from __future__ import annotations + +import json +from pathlib import Path + +import pytest + +pytestmark = [pytest.mark.integration, pytest.mark.slow] + + +def test_full_pipeline_end_to_end(require_full_env, e2e_workdir: Path): + import pandas as pd + + import predict + from ParamConfig.config_model import BatchConfig + + result_path = e2e_workdir / 'pipeline_test' + with open('params_test.json', encoding='utf-8') as f: + params = json.load(f) + params['configs'][0]['result_path'] = str(result_path) + + cfg = BatchConfig(**params).configs[0] + predict.run_pipeline(cfg) + + # --- PhaseNet --------------------------------------------------------- + picks = result_path / 'picks_phasenet' / 'picks.csv' + assert picks.exists() and picks.stat().st_size > 0, 'PhaseNet picks missing' + + # --- GaMMA ------------------------------------------------------------ + gamma_events = result_path / 'gamma_events.csv' + gamma_picks = result_path / 'gamma_picks.csv' + assert gamma_events.exists(), 'GaMMA events missing' + assert gamma_picks.exists(), 'GaMMA picks missing' + + df_events = pd.read_csv(gamma_events) + assert len(df_events) > 0, 'GaMMA associated zero events' + assert {'longitude', 'latitude', 'depth_km'} <= set(df_events.columns) + # Events must fall inside the configured search region. + xlim = params['configs'][0]['GaMMA']['xlim_degree'] + ylim = params['configs'][0]['GaMMA']['ylim_degree'] + assert df_events['longitude'].between(*xlim).all(), 'event longitude out of region' + assert df_events['latitude'].between(*ylim).all(), 'event latitude out of region' + + df_picks = pd.read_csv(gamma_picks) + assert {'station_id', 'phase_time', 'phase_type', 'event_index'} <= set( + df_picks.columns + ) + + # --- H3DD ------------------------------------------------------------- + douts = list(result_path.glob('*.dat_ch.dout')) + assert douts, 'H3DD produced no .dout relocation file' + assert all(d.stat().st_size > 0 for d in douts), 'H3DD .dout file is empty' + + # --- Magnitude -------------------------------------------------------- + mag_events = result_path / 'mag_events.csv' + assert mag_events.exists() and mag_events.stat().st_size > 0, ( + 'magnitude events missing' + ) + + # --- Polarity --------------------------------------------------------- + polarity = result_path / 'polarity_picks.csv' + assert polarity.exists() and polarity.stat().st_size > 0, 'polarity picks missing' + + # --- Focal (final catalog) ------------------------------------------- + focal = result_path / 'gafocal_catalog.txt' + assert focal.exists() and focal.stat().st_size > 0, 'final focal catalog missing' diff --git a/tests/params_test.json b/tests/params_test.json new file mode 100644 index 0000000..661ed99 --- /dev/null +++ b/tests/params_test.json @@ -0,0 +1,113 @@ +{ + "configs": [ + { + "name": "pipeline", + "result_path": "./pipeline_test", + + "PhaseNet": { + "enabled": true, + "data_parent_dir": "test_sac", + "station_csv": "station.csv", + "start": "20240423", + "end": "20240424", + "pz_dir": "test_pz", + "data_list": null, + "hdf5_file": null, + "prefix": "", + "format": "SAC", + "dataset": "das", + "model": "phasenet", + "resume": "", + "backbone": "unet", + "phases": ["P", "S"], + "device": "cpu", + "workers": 0, + "batch_size": 1, + "use_deterministic_algorithms": true, + "amp": true, + "world_size": 1, + "dist_url": "env://", + "plot_figure": false, + "min_prob": 0.3, + "add_polarity": false, + "add_event": true, + "sampling_rate": 100.0, + "highpass_filter": 0.0, + "response_path": null, + "response_xml": null, + "subdir_level": 0, + "cut_patch": false, + "nt": 20480, + "nx": 5120, + "resample_time": false, + "resample_space": false, + "system": null, + "location": null, + "skip_existing": false + }, + + "GaMMA": { + "enabled": true, + "picks_csv": null, + "station": "station.csv", + "velocity_model": "./vel_model/Hualien_1D.vel", + "center": [121.625, 24.0], + "xlim_degree": [121, 122.25], + "ylim_degree": [23.25, 24.75], + "min_p_picks_per_eq": 4, + "min_s_picks_per_eq": 0, + "eps": 17.0, + "cpu_number": 5, + "use_amplitude": false + }, + + "H3DD": { + "enabled": true, + "events_csv": null, + "picks_csv": null, + "station": "station.csv", + "model_3D": "./vel_model/tomops_H14", + "weights": [1.0, 1.0, 0.1], + "priori_weight": [1.0, 0.75, 0.5, 0.25, 0.0], + "inv": 2, + "damping_factor": 0.0, + "rmscut": 1.0e-4, + "max_iter": 5, + "constrain_factor": 0.0, + "joint_inv_with_single_event_method": 1, + "consider_elevation": 0, + "runs": { + "first": { + "event_name": "H3DD_1", + "cutoff_distances": 0.0 + }, + "second": { + "event_name": "H3DD_2", + "cutoff_distances": 2.0 + } + } + }, + + "Magnitude": { + "enabled": true, + "dout_file": null, + "station": "station.csv", + "sac_parent_dir": "test_sac", + "pz_dir": "test_pz", + "cpu_number": 5 + }, + + "Polarity": { + "enabled": true, + "picks_csv": null, + "sac_parent_dir": "test_sac", + "cpu_number": 5 + }, + + "Focal": { + "enabled": true, + "dout_file": null + } + } + ] +} diff --git a/tests/station.csv b/tests/station.csv new file mode 100644 index 0000000..833fed0 --- /dev/null +++ b/tests/station.csv @@ -0,0 +1,7 @@ +net,station,latitude,longitude,elevation +CWASN,EGC,23.7078,121.5476,9.0 +CWASN,ESL,23.812,121.4416,180.0 +TSMIP,B090,23.6462,120.6559,241.0 +TSMIP,F002,23.5982,121.5202,18.0 +CWB24,SHUL,23.7875,121.5627,35.0 +CWB24,EGFH,23.6688,121.4274,132.0 diff --git a/tests/test_pz/SAC_PZs_TW_B090_HLE_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_B090_HLE_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..5598733 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_B090_HLE_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,38 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): B090 +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLE +* CREATED : 2024-12-30T02:09:29 +* START : 2018-12-07T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : TCU090, Tong-Tou Elementary School +* LATITUDE : 23.646230 +* LONGITUDE : 120.655890 +* ELEVATION : 241.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 90.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : TitanCWB,TitanCWB, with buildin sensor Titan Accel +* INSTGAIN : 1.020000e+00 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 4.080000e+05 (M/S**2) +* A0 : 1.007730e+18 +* ********************************** +ZEROS 4 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -5.150000e+02 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 7 + -9.770000e+02 +3.280000e+02 + -9.770000e+02 -3.280000e+02 + -1.486000e+03 +2.512000e+03 + -1.486000e+03 -2.512000e+03 + -5.736000e+03 +4.946000e+03 + -5.736000e+03 -4.946000e+03 + -6.283190e-03 +0.000000e+00 +CONSTANT +4.111539e+23 diff --git a/tests/test_pz/SAC_PZs_TW_B090_HLN_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_B090_HLN_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..de14919 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_B090_HLN_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,38 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): B090 +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLN +* CREATED : 2024-12-30T02:09:29 +* START : 2018-12-07T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : TCU090, Tong-Tou Elementary School +* LATITUDE : 23.646230 +* LONGITUDE : 120.655890 +* ELEVATION : 241.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : TitanCWB,TitanCWB, with buildin sensor Titan Accel +* INSTGAIN : 1.020000e+00 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 4.080000e+05 (M/S**2) +* A0 : 1.007730e+18 +* ********************************** +ZEROS 4 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -5.150000e+02 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 7 + -9.770000e+02 +3.280000e+02 + -9.770000e+02 -3.280000e+02 + -1.486000e+03 +2.512000e+03 + -1.486000e+03 -2.512000e+03 + -5.736000e+03 +4.946000e+03 + -5.736000e+03 -4.946000e+03 + -6.283190e-03 +0.000000e+00 +CONSTANT +4.111539e+23 diff --git a/tests/test_pz/SAC_PZs_TW_B090_HLZ_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_B090_HLZ_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..e18e690 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_B090_HLZ_10_2018.341.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,38 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): B090 +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLZ +* CREATED : 2024-12-30T02:09:29 +* START : 2018-12-07T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : TCU090, Tong-Tou Elementary School +* LATITUDE : 23.646230 +* LONGITUDE : 120.655890 +* ELEVATION : 241.0 +* DEPTH : 0.0 +* DIP : 0.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : TitanCWB,TitanCWB, with buildin sensor Titan Accel +* INSTGAIN : 1.020000e+00 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 4.080000e+05 (M/S**2) +* A0 : 1.007730e+18 +* ********************************** +ZEROS 4 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -5.150000e+02 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 7 + -9.770000e+02 +3.280000e+02 + -9.770000e+02 -3.280000e+02 + -1.486000e+03 +2.512000e+03 + -1.486000e+03 -2.512000e+03 + -5.736000e+03 +4.946000e+03 + -5.736000e+03 -4.946000e+03 + -6.283190e-03 +0.000000e+00 +CONSTANT +4.111539e+23 diff --git a/tests/test_pz/SAC_PZs_TW_EGC_HLE_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_EGC_HLE_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..efb5eee --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_EGC_HLE_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): EGC +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLE +* CREATED : 2024-12-30T02:05:08 +* START : 2018-11-15T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Ji-Ci Elementary School +* LATITUDE : 23.707805 +* LONGITUDE : 121.547557 +* ELEVATION : 9.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 90.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A,SMART24A series, with buildin sensor PA-2 +* INSTGAIN : 2.583340e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.091930e+05 (M/S**2) +* A0 : 2.313560e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.153366e+14 diff --git a/tests/test_pz/SAC_PZs_TW_EGC_HLN_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_EGC_HLN_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..8dff194 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_EGC_HLN_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): EGC +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLN +* CREATED : 2024-12-30T02:05:08 +* START : 2018-11-15T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Ji-Ci Elementary School +* LATITUDE : 23.707805 +* LONGITUDE : 121.547557 +* ELEVATION : 9.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A,SMART24A series, with buildin sensor PA-2 +* INSTGAIN : 2.600280e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.077880e+05 (M/S**2) +* A0 : 2.313560e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.120860e+14 diff --git a/tests/test_pz/SAC_PZs_TW_EGC_HLZ_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_EGC_HLZ_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..7194ffc --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_EGC_HLZ_10_2018.319.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): EGC +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLZ +* CREATED : 2024-12-30T02:05:08 +* START : 2018-11-15T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Ji-Ci Elementary School +* LATITUDE : 23.707805 +* LONGITUDE : 121.547557 +* ELEVATION : 9.0 +* DEPTH : 0.0 +* DIP : 0.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A,SMART24A series, with buildin sensor PA-2 +* INSTGAIN : 2.633090e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.080780e+05 (M/S**2) +* A0 : 2.313560e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.127570e+14 diff --git a/tests/test_pz/SAC_PZs_TW_EGFH_HH1_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_EGFH_HH1_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..807e167 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_EGFH_HH1_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,36 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): EGFH +* LOCATION (KHOLE): 00 +* CHANNEL (KCMPNM): HH1 +* CREATED : 2019-03-11T03:10:36 +* START : 2011-12-20T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Guangfu +* LATITUDE : 23.668800 +* LONGITUDE : 121.427400 +* ELEVATION : 132.0 +* DEPTH : 295.0 +* DIP : 90.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : CMG-3T, 360 s, 2000 V/m/s-DM-24 Mk3 Fixed Gain +* INSTGAIN : 5.980000e+03 (M/S) +* COMMENT : T37078 A3391 +* SENSITIVITY : 1.861750e+09 (M/S) +* A0 : 4.323000e+10 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 6 + -1.234020e-02 +1.234020e-02 + -1.234020e-02 -1.234020e-02 + -1.888280e+02 +1.955400e+02 + -1.888280e+02 -1.955400e+02 + -2.592220e+02 +7.196450e+02 + -2.592220e+02 -7.196450e+02 +CONSTANT +8.048345e+19 diff --git a/tests/test_pz/SAC_PZs_TW_EGFH_HH2_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_EGFH_HH2_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..a34c7f6 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_EGFH_HH2_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,36 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): EGFH +* LOCATION (KHOLE): 00 +* CHANNEL (KCMPNM): HH2 +* CREATED : 2019-03-11T03:10:36 +* START : 2011-12-20T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Guangfu +* LATITUDE : 23.668800 +* LONGITUDE : 121.427400 +* ELEVATION : 132.0 +* DEPTH : 295.0 +* DIP : 90.0 +* AZIMUTH : 90.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : CMG-3T, 360 s, 2000 V/m/s-DM-24 Mk3 Fixed Gain +* INSTGAIN : 5.952000e+03 (M/S) +* COMMENT : T37078 A3391 +* SENSITIVITY : 1.864640e+09 (M/S) +* A0 : 4.323000e+10 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 6 + -1.234020e-02 +1.234020e-02 + -1.234020e-02 -1.234020e-02 + -1.888280e+02 +1.955400e+02 + -1.888280e+02 -1.955400e+02 + -2.592220e+02 +7.196450e+02 + -2.592220e+02 -7.196450e+02 +CONSTANT +8.060839e+19 diff --git a/tests/test_pz/SAC_PZs_TW_EGFH_HHZ_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_EGFH_HHZ_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..cc80f1a --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_EGFH_HHZ_00_2011.354.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,36 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): EGFH +* LOCATION (KHOLE): 00 +* CHANNEL (KCMPNM): HHZ +* CREATED : 2019-03-11T03:10:36 +* START : 2011-12-20T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Guangfu +* LATITUDE : 23.668800 +* LONGITUDE : 121.427400 +* ELEVATION : 132.0 +* DEPTH : 295.0 +* DIP : 0.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : CMG-3T, 360 s, 2000 V/m/s-DM-24 Mk3 Fixed Gain +* INSTGAIN : 5.942000e+03 (M/S) +* COMMENT : T37078 A3391 +* SENSITIVITY : 1.863290e+09 (M/S) +* A0 : 4.323000e+10 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 6 + -1.234020e-02 +1.234020e-02 + -1.234020e-02 -1.234020e-02 + -1.888280e+02 +1.955400e+02 + -1.888280e+02 -1.955400e+02 + -2.592220e+02 +7.196450e+02 + -2.592220e+02 -7.196450e+02 +CONSTANT +8.055002e+19 diff --git a/tests/test_pz/SAC_PZs_TW_ESL_HLE_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_ESL_HLE_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..d849840 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_ESL_HLE_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): ESL +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLE +* CREATED : 2024-12-30T02:05:08 +* START : 2018-11-14T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Si-Lin Elementary School +* LATITUDE : 23.812100 +* LONGITUDE : 121.441500 +* ELEVATION : 178.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 90.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A,SMART24A series, with buildin sensor PA-2 +* INSTGAIN : 2.617870e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.081740e+05 (M/S**2) +* A0 : 2.313560e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.129791e+14 diff --git a/tests/test_pz/SAC_PZs_TW_ESL_HLN_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_ESL_HLN_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..b141c0f --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_ESL_HLN_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): ESL +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLN +* CREATED : 2024-12-30T02:05:08 +* START : 2018-11-14T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Si-Lin Elementary School +* LATITUDE : 23.812100 +* LONGITUDE : 121.441500 +* ELEVATION : 178.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A,SMART24A series, with buildin sensor PA-2 +* INSTGAIN : 2.645350e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.093960e+05 (M/S**2) +* A0 : 2.313560e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.158062e+14 diff --git a/tests/test_pz/SAC_PZs_TW_ESL_HLZ_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_ESL_HLZ_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..bfe346b --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_ESL_HLZ_10_2018.318.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): ESL +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLZ +* CREATED : 2024-12-30T02:05:08 +* START : 2018-11-14T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Si-Lin Elementary School +* LATITUDE : 23.812100 +* LONGITUDE : 121.441500 +* ELEVATION : 178.0 +* DEPTH : 0.0 +* DIP : 0.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A,SMART24A series, with buildin sensor PA-2 +* INSTGAIN : 2.596730e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.088310e+05 (M/S**2) +* A0 : 2.313560e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.144991e+14 diff --git a/tests/test_pz/SAC_PZs_TW_F002_HLE_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_F002_HLE_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..78e29d7 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_F002_HLE_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): F002 +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLE +* CREATED : 2024-12-30T02:09:29 +* START : 2019-02-26T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : HWA002, Fong-Bin Elementary School +* LATITUDE : 23.598203 +* LONGITUDE : 121.520174 +* ELEVATION : 18.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 90.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A+,SMART24A series, with buildin sensor PA- +* INSTGAIN : 2.532550e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.080250e+05 (M/S**2) +* A0 : 2.313530e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.126251e+14 diff --git a/tests/test_pz/SAC_PZs_TW_F002_HLN_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_F002_HLN_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..d405e8e --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_F002_HLN_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): F002 +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLN +* CREATED : 2024-12-30T02:09:29 +* START : 2019-02-26T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : HWA002, Fong-Bin Elementary School +* LATITUDE : 23.598203 +* LONGITUDE : 121.520174 +* ELEVATION : 18.0 +* DEPTH : 0.0 +* DIP : 90.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A+,SMART24A series, with buildin sensor PA- +* INSTGAIN : 2.586910e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.127880e+05 (M/S**2) +* A0 : 2.313530e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.236445e+14 diff --git a/tests/test_pz/SAC_PZs_TW_F002_HLZ_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_F002_HLZ_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..e1c054c --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_F002_HLZ_10_2019.057.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): F002 +* LOCATION (KHOLE): 10 +* CHANNEL (KCMPNM): HLZ +* CREATED : 2024-12-30T02:09:29 +* START : 2019-02-26T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : HWA002, Fong-Bin Elementary School +* LATITUDE : 23.598203 +* LONGITUDE : 121.520174 +* ELEVATION : 18.0 +* DEPTH : 0.0 +* DIP : 0.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : SMART24A+,SMART24A series, with buildin sensor PA- +* INSTGAIN : 2.456860e-01 (M/S**2) +* COMMENT : N/A +* SENSITIVITY : 3.140260e+05 (M/S**2) +* A0 : 2.313530e+09 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + -3.333000e+03 +0.000000e+00 +POLES 4 + -7.420000e+02 +1.014000e+03 + -7.420000e+02 -1.014000e+03 + -8.663000e+02 +0.000000e+00 + -5.638000e+03 +0.000000e+00 +CONSTANT +7.265086e+14 diff --git a/tests/test_pz/SAC_PZs_TW_SHUL_HH1_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_SHUL_HH1_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..8c6c115 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_SHUL_HH1_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): SHUL +* LOCATION (KHOLE): 00 +* CHANNEL (KCMPNM): HH1 +* CREATED : 2019-03-11T03:10:36 +* START : 2018-05-01T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Shulian +* LATITUDE : 23.787500 +* LONGITUDE : 121.562700 +* ELEVATION : 35.3 +* DEPTH : 150.0 +* DIP : 90.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : KS2000, 120 s, 2000 V/m/s-null +* INSTGAIN : 2.172000e+03 (M/S) +* COMMENT : N/A +* SENSITIVITY : 6.599190e+08 (M/S) +* A0 : 9.853340e+04 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 4 + -3.600000e-02 +3.800000e-02 + -3.600000e-02 -3.800000e-02 + -2.220000e+02 +2.220000e+02 + -2.220000e+02 -2.220000e+02 +CONSTANT +6.502406e+13 diff --git a/tests/test_pz/SAC_PZs_TW_SHUL_HH2_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_SHUL_HH2_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..2eb9e98 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_SHUL_HH2_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): SHUL +* LOCATION (KHOLE): 00 +* CHANNEL (KCMPNM): HH2 +* CREATED : 2019-03-11T03:10:36 +* START : 2018-05-01T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Shulian +* LATITUDE : 23.787500 +* LONGITUDE : 121.562700 +* ELEVATION : 35.3 +* DEPTH : 150.0 +* DIP : 90.0 +* AZIMUTH : 90.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : KS2000, 120 s, 2000 V/m/s-null +* INSTGAIN : 2.178000e+03 (M/S) +* COMMENT : N/A +* SENSITIVITY : 6.670780e+08 (M/S) +* A0 : 9.853340e+04 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 4 + -3.600000e-02 +3.800000e-02 + -3.600000e-02 -3.800000e-02 + -2.220000e+02 +2.220000e+02 + -2.220000e+02 -2.220000e+02 +CONSTANT +6.572946e+13 diff --git a/tests/test_pz/SAC_PZs_TW_SHUL_HHZ_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 b/tests/test_pz/SAC_PZs_TW_SHUL_HHZ_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 new file mode 100644 index 0000000..9f3b405 --- /dev/null +++ b/tests/test_pz/SAC_PZs_TW_SHUL_HHZ_00_2018.121.00.00.00.0000_2599.365.23.59.59.99999 @@ -0,0 +1,34 @@ +* ********************************** +* NETWORK (KNETWK): TW +* STATION (KSTNM): SHUL +* LOCATION (KHOLE): 00 +* CHANNEL (KCMPNM): HHZ +* CREATED : 2019-03-11T03:10:36 +* START : 2018-05-01T00:00:00 +* END : 2599-12-31T23:59:59 +* DESCRIPTION : Shulian +* LATITUDE : 23.787500 +* LONGITUDE : 121.562700 +* ELEVATION : 35.3 +* DEPTH : 150.0 +* DIP : 0.0 +* AZIMUTH : 0.0 +* SAMPLE RATE : 100.0 +* INPUT UNIT : M +* OUTPUT UNIT : COUNTS +* INSTTYPE : KS2000, 120 s, 2000 V/m/s-null +* INSTGAIN : 2.072000e+03 (M/S) +* COMMENT : N/A +* SENSITIVITY : 6.326440e+08 (M/S) +* A0 : 9.853340e+04 +* ********************************** +ZEROS 3 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 + +0.000000e+00 +0.000000e+00 +POLES 4 + -3.600000e-02 +3.800000e-02 + -3.600000e-02 -3.800000e-02 + -2.220000e+02 +2.220000e+02 + -2.220000e+02 -2.220000e+02 +CONSTANT +6.233656e+13 diff --git a/tests/test_sac/20240423/2024.114.00.00.00.1000.TW.B090.10.HLZ.D.SAC b/tests/test_sac/20240423/2024.114.00.00.00.1000.TW.B090.10.HLZ.D.SAC new file mode 100644 index 0000000..c2dafa0 Binary files /dev/null and b/tests/test_sac/20240423/2024.114.00.00.00.1000.TW.B090.10.HLZ.D.SAC differ diff --git a/tests/test_sac/20240423/2024.114.00.00.00.5600.TW.B090.10.HLE.D.SAC b/tests/test_sac/20240423/2024.114.00.00.00.5600.TW.B090.10.HLE.D.SAC new file mode 100644 index 0000000..3325fdf Binary files /dev/null and b/tests/test_sac/20240423/2024.114.00.00.00.5600.TW.B090.10.HLE.D.SAC differ diff --git a/tests/test_sac/20240423/2024.114.00.00.01.6500.TW.ESL.10.HLE.D.SAC b/tests/test_sac/20240423/2024.114.00.00.01.6500.TW.ESL.10.HLE.D.SAC new file mode 100644 index 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+bookkeeping and the legacy single-config wrapping in ``BatchConfig``. +""" + +from __future__ import annotations + +from pathlib import Path +from types import SimpleNamespace + +import pytest + +from ParamConfig.config_model import ( + BatchConfig, + H3DDConfig, + PhaseNetConfigReceiver, +) + +pytestmark = pytest.mark.unit + + +# --------------------------------------------------------------------------- +# PhaseNet date-list / time-format helpers (called on a stub to avoid the +# filesystem-touching full construction). +# --------------------------------------------------------------------------- +def test_generate_date_list_is_start_inclusive_end_exclusive(): + stub = SimpleNamespace(start='20240423', end='20240426') + assert PhaseNetConfigReceiver._generate_date_list(stub) == [ + '20240423', + '20240424', + '20240425', + ] + + +def test_generate_date_list_single_day(): + stub = SimpleNamespace(start='20240423', end='20240424') + assert PhaseNetConfigReceiver._generate_date_list(stub) == ['20240423'] + + +def test_time_code_checker_accepts_yyyymmdd(): + stub = SimpleNamespace(start='20240423', end='20240424') + # Should not raise. + PhaseNetConfigReceiver._time_code_checker(stub) + + +def test_time_code_checker_rejects_non_archive_format(): + stub = SimpleNamespace(start='2024-04-23T00:00:00', end='20240424') + with pytest.raises(ValueError, match='YYYYMMDD'): + PhaseNetConfigReceiver._time_code_checker(stub) + + +# --------------------------------------------------------------------------- +# H3DD run bookkeeping +# --------------------------------------------------------------------------- +def _run(name: str, cutoff: float) -> dict: + return {'event_name': name, 'cutoff_distances': cutoff} + + +def test_h3dd_run_count_zero_without_runs(): + cfg = H3DDConfig(enabled=False) + assert cfg.get_run_count() == 0 + assert cfg.get_run_config(0) is None + + +def test_h3dd_single_run(): + cfg = H3DDConfig(enabled=False, runs={'first': _run('H3DD_1', 0.0)}) + assert cfg.get_run_count() == 1 + assert cfg.get_run_config(0).event_name == 'H3DD_1' + assert cfg.get_run_config(1) is None + + +def test_h3dd_double_run(): + cfg = H3DDConfig( + enabled=False, + runs={'first': _run('H3DD_1', 0.0), 'second': _run('H3DD_2', 2.0)}, + ) + assert cfg.get_run_count() == 2 + assert cfg.get_run_config(0).cutoff_distances == 0.0 + assert cfg.get_run_config(1).event_name == 'H3DD_2' + assert cfg.get_run_config(2) is None + + +# --------------------------------------------------------------------------- +# BatchConfig legacy-format handling +# --------------------------------------------------------------------------- +def test_legacy_single_config_is_wrapped(tmp_path: Path): + batch = BatchConfig(name='legacy', result_path=str(tmp_path / 'r')) + assert len(batch.configs) == 1 + assert batch.configs[0].name == 'legacy' + + +def test_batch_format_preserves_order(tmp_path: Path): + batch = BatchConfig( + configs=[ + {'name': 'a', 'result_path': str(tmp_path / 'a')}, + {'name': 'b', 'result_path': str(tmp_path / 'b')}, + ] + ) + assert [c.name for c in batch.configs] == ['a', 'b'] diff --git a/tests/unit/test_config_validation.py b/tests/unit/test_config_validation.py new file mode 100644 index 0000000..7c224bc --- /dev/null +++ b/tests/unit/test_config_validation.py @@ -0,0 +1,134 @@ +"""Unit tests for the cross-component validation rules in ``RunConfig``. + +These exercise ``ParamConfig.config_model`` only (pydantic + pandas), so they +are fast and run anywhere. Every ``RunConfig`` here points ``result_path`` at a +``tmp_path`` so the implicit ``mkdir`` never touches the repo. +""" + +from __future__ import annotations + +from pathlib import Path + +import pytest +from pydantic import ValidationError + +from ParamConfig.config_model import ( + GaMMAConfig, + RunConfig, +) + +pytestmark = pytest.mark.unit + + +def _gamma_enabled(**overrides) -> dict: + base = dict( + enabled=True, + station='station.csv', + velocity_model='velocity.vel', + center=(121.625, 24.0), + xlim_degree=[121.0, 122.25], + ylim_degree=[23.25, 24.75], + ) + base.update(overrides) + return base + + +def _h3dd_enabled(**overrides) -> dict: + base = dict( + enabled=True, + station='station.csv', + model_3D='tomops_H14', + runs={'first': {'event_name': 'H3DD_1', 'cutoff_distances': 0.0}}, + ) + base.update(overrides) + return base + + +# --------------------------------------------------------------------------- +# Component-level required-when-enabled validation +# --------------------------------------------------------------------------- +def test_gamma_missing_required_fields_raises(): + with pytest.raises(ValidationError, match='required when GaMMA is enabled'): + GaMMAConfig(enabled=True) # missing station/velocity_model/center/... + + +def test_gamma_disabled_allows_missing_fields(): + cfg = GaMMAConfig(enabled=False) + assert cfg.enabled is False + + +# --------------------------------------------------------------------------- +# RunConfig cross-component dependency rules +# --------------------------------------------------------------------------- +def test_gamma_without_phasenet_or_picks_raises(tmp_path: Path): + with pytest.raises(ValidationError, match='no picks_csv provided'): + RunConfig(result_path=tmp_path / 'r', GaMMA=_gamma_enabled()) + + +def test_gamma_with_explicit_picks_ok(tmp_path: Path): + cfg = RunConfig( + result_path=tmp_path / 'r', + GaMMA=_gamma_enabled(picks_csv='picks.csv'), + ) + assert cfg.is_component_enabled('GaMMA') + + +def test_h3dd_without_gamma_requires_csvs(tmp_path: Path): + with pytest.raises( + ValidationError, match='events_csv/picks_csv not fully provided' + ): + RunConfig(result_path=tmp_path / 'r', H3DD=_h3dd_enabled()) + + +def test_h3dd_with_explicit_csvs_ok(tmp_path: Path): + cfg = RunConfig( + result_path=tmp_path / 'r', + H3DD=_h3dd_enabled(events_csv='e.csv', picks_csv='p.csv'), + ) + assert cfg.is_component_enabled('H3DD') + + +def test_magnitude_without_h3dd_requires_dout(tmp_path: Path): + mag = dict( + enabled=True, + station='station.csv', + sac_parent_dir='test_sac', + pz_dir='test_pz', + ) + with pytest.raises(ValidationError, match='no dout_file provided'): + RunConfig(result_path=tmp_path / 'r', Magnitude=mag) + + +def test_polarity_manual_picks_with_upstream_enabled_raises(tmp_path: Path): + with pytest.raises( + ValidationError, match='only be set when both GaMMA and PhaseNet are disabled' + ): + RunConfig( + result_path=tmp_path / 'r', + GaMMA=_gamma_enabled(picks_csv='picks.csv'), + Polarity={'enabled': True, 'picks_csv': 'manual.csv'}, + ) + + +def test_polarity_with_gamma_upstream_ok(tmp_path: Path): + cfg = RunConfig( + result_path=tmp_path / 'r', + GaMMA=_gamma_enabled(picks_csv='picks.csv'), + Polarity={'enabled': True, 'sac_parent_dir': 'test_sac'}, + ) + assert cfg.is_component_enabled('Polarity') + + +def test_focal_without_inputs_raises(tmp_path: Path): + with pytest.raises(ValidationError, match='no dout_file provided'): + RunConfig(result_path=tmp_path / 'r', Focal={'enabled': True}) + + +# --------------------------------------------------------------------------- +# is_component_enabled defaults +# --------------------------------------------------------------------------- +def test_is_component_enabled_for_absent_component(tmp_path: Path): + cfg = RunConfig(result_path=tmp_path / 'r') + assert cfg.is_component_enabled('PhaseNet') is False + assert cfg.is_component_enabled('GaMMA') is False + assert cfg.is_component_enabled('Focal') is False diff --git a/tests/unit/test_params_test_json.py b/tests/unit/test_params_test_json.py new file mode 100644 index 0000000..3f32a13 --- /dev/null +++ b/tests/unit/test_params_test_json.py @@ -0,0 +1,58 @@ +"""Guard the canonical example config (``tests/params_test.json``). + +If the JSON drifts away from what ``config_model`` accepts, this fails fast in +CI -- before anyone discovers it by launching the real (slow) pipeline. + +We build ``BatchConfig`` directly (not via ``predict.load_config``) to keep the +test pip-only: importing ``predict`` would pull in torch/obspy/onnxruntime. +``result_path`` is redirected into ``tmp_path`` so the implicit ``mkdir`` never +creates ``pipeline_test`` in the repo, and we ``chdir`` into the data dir so the +config's relative paths (``test_sac``, ``station.csv``) resolve. +""" + +from __future__ import annotations + +from pathlib import Path + +import pytest + +from ParamConfig.config_model import BatchConfig + +pytestmark = pytest.mark.unit + +ALL_COMPONENTS = ['PhaseNet', 'GaMMA', 'H3DD', 'Magnitude', 'Polarity', 'Focal'] + + +@pytest.fixture +def loaded_config( + params_dict: dict, + tmp_path: Path, + test_data_dir: Path, + monkeypatch: pytest.MonkeyPatch, +): + params_dict['configs'][0]['result_path'] = str(tmp_path / 'pipeline_test') + monkeypatch.chdir(test_data_dir) + return BatchConfig(**params_dict) + + +def test_params_test_json_parses_to_single_run(loaded_config): + assert len(loaded_config.configs) == 1 + assert loaded_config.configs[0].name == 'pipeline' + + +def test_all_six_components_enabled(loaded_config): + cfg = loaded_config.configs[0] + for component in ALL_COMPONENTS: + assert cfg.is_component_enabled(component), f'{component} should be enabled' + + +def test_phasenet_archive_expansion(loaded_config): + phasenet = loaded_config.configs[0].PhaseNet + # start=20240423, end=20240424 -> exactly one archive day. + assert phasenet.date_list == ['20240423'] + assert phasenet.args_list is not None + assert len(phasenet.args_list) == 1 + + +def test_h3dd_configured_for_two_runs(loaded_config): + assert loaded_config.configs[0].H3DD.get_run_count() == 2 diff --git a/tests/unit/test_path_resolver.py b/tests/unit/test_path_resolver.py new file mode 100644 index 0000000..37c4df5 --- /dev/null +++ b/tests/unit/test_path_resolver.py @@ -0,0 +1,38 @@ +"""Unit tests for ``PathResolver`` explicit-path resolution. + +Auto-detection is currently commented out in ``config_model.py``; these tests +pin the active behaviour: an explicit path is returned when it exists and a +missing explicit path raises ``FileNotFoundError``. +""" + +from __future__ import annotations + +from pathlib import Path + +import pytest + +from ParamConfig.config_model import PathResolver + +pytestmark = pytest.mark.unit + +RESOLVE_METHODS = [ + 'resolve_picks', + 'resolve_gamma_picks', + 'resolve_gamma_events', + 'resolve_dout', +] + + +@pytest.mark.parametrize('method', RESOLVE_METHODS) +def test_returns_existing_explicit_path(method: str, tmp_path: Path): + resolver = PathResolver(tmp_path) + target = tmp_path / 'input.dat' + target.write_text('content') + assert getattr(resolver, method)(target) == target + + +@pytest.mark.parametrize('method', RESOLVE_METHODS) +def test_missing_explicit_path_raises(method: str, tmp_path: Path): + resolver = PathResolver(tmp_path) + with pytest.raises(FileNotFoundError): + getattr(resolver, method)(tmp_path / 'does_not_exist.dat') diff --git a/tests/vel_model/Hualien_1D.vel b/tests/vel_model/Hualien_1D.vel new file mode 100755 index 0000000..662c003 --- /dev/null +++ b/tests/vel_model/Hualien_1D.vel @@ -0,0 +1,61 @@ +0,3.89464,2.29031 +1,4.31682,2.56823 +2,4.54983,2.70878 +3,4.78285,2.84904 +4,4.9713,2.94127 +5,5.15991,3.03332 +6,5.34837,3.12557 +7,5.4535,3.18084 +8,5.55863,3.23611 +9,5.66379,3.29139 +10,5.76894,3.34665 +11,5.83623,3.38542 +12,5.90351,3.42417 +13,5.9708,3.46292 +14,6.03808,3.50167 +15,6.10536,3.54044 +16,6.16456,3.57736 +17,6.22375,3.61427 +18,6.28295,3.65119 +19,6.34212,3.68812 +20,6.40132,3.72503 +21,6.46481,3.75941 +22,6.52831,3.79376 +23,6.59181,3.82814 +24,6.6553,3.8625 +25,6.7188,3.89686 +26,6.78559,3.92813 +27,6.85238,3.95937 +28,6.91921,3.99064 +29,6.986,4.02189 +30,7.0528,4.05315 +31,7.09693,4.08313 +32,7.14105,4.11309 +33,7.18518,4.14307 +34,7.22933,4.17304 +35,7.27345,4.203 +36,7.3093,4.21799 +37,7.34518,4.23299 +38,7.38103,4.24798 +39,7.4169,4.26297 +40,7.45276,4.27795 +41,7.48371,4.29184 +42,7.51467,4.30573 +43,7.54564,4.31962 +44,7.57659,4.33351 +45,7.60753,4.34739 +46,7.63647,4.36501 +47,7.6654,4.38261 +48,7.69432,4.40022 +49,7.72327,4.41783 +50,7.7522,4.43543 +51,7.77329,4.4416 +52,7.7944,4.44776 +53,7.8155,4.45393 +54,7.8366,4.46009 +55,7.85769,4.46625 +56,7.87385,4.47392 +57,7.88999,4.48157 +58,7.90613,4.48924 +59,7.92228,4.49689 +60,7.93842,4.50456 diff --git a/tests/vel_model/tomops_H14 b/tests/vel_model/tomops_H14 new file mode 100755 index 0000000..76dc929 --- /dev/null +++ b/tests/vel_model/tomops_H14 @@ -0,0 +1,3298 @@ + 0.001 0.100 76 61 27 + 119.00 119.08 119.16 119.24 119.32 119.40 119.48 119.56 119.64 119.72 119.80 119.88 119.96 120.04 120.12 120.20 120.28 120.36 120.44 120.52 120.60 120.68 120.76 120.84 120.92 121.00 121.08 121.16 121.24 121.32 121.40 121.48 121.56 121.64 121.72 121.80 121.88 121.96 122.04 122.12 122.20 122.28 122.36 122.44 122.52 122.60 122.68 122.76 122.84 122.92 123.00 123.08 123.16 123.24 123.32 123.40 123.48 123.56 123.64 123.72 123.80 123.88 123.96 124.04 124.12 124.20 124.28 124.36 124.44 124.52 124.60 124.68 124.76 124.84 124.92 125.00 + 21.30 21.38 21.46 21.54 21.62 21.70 21.78 21.86 21.94 22.02 22.10 22.18 22.26 22.34 22.42 22.50 22.58 22.66 22.74 22.82 22.90 22.98 23.06 23.14 23.22 23.30 23.38 23.46 23.54 23.62 23.70 23.78 23.86 23.94 24.02 24.10 24.18 24.26 24.34 24.42 24.50 24.58 24.66 24.74 24.82 24.90 24.98 25.06 25.14 25.22 25.30 25.38 25.46 25.54 25.62 25.70 25.78 25.86 25.94 26.02 26.10 + -5.00 0.00 0.50 3.00 6.00 10.00 15.00 20.00 25.00 30.00 35.00 40.00 45.00 50.00 55.00 60.00 65.00 70.00 80.00 90.00 100.00 120.00 140.00 170.00 200.00 250.00 300.00 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 2.818 2.489 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 2.534 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 2.932 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 2.051 2.789 3.000 3.015 2.887 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 2.490 1.992 1.918 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 1.917 1.931 2.205 2.190 2.203 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 1.648 1.646 1.911 1.721 2.253 3.000 3.000 3.000 3.000 2.502 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 1.814 2.011 2.806 2.048 3.000 3.000 3.000 3.000 3.000 2.458 1.799 2.005 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 2.500 2.473 2.765 3.000 2.443 3.000 3.000 3.000 3.000 3.000 2.650 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 2.095 2.217 2.003 3.000 2.610 3.000 2.988 3.000 3.000 3.000 3.000 2.127 3.000 2.711 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 1.650 2.208 3.000 3.000 2.994 3.000 3.000 3.000 3.000 3.000 3.000 2.613 2.126 2.100 2.397 3.000 3.000 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3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 + 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 3.000 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3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.849 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.845 4.575 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 2.818 2.489 3.109 3.847 3.847 3.848 3.847 3.818 3.847 3.847 3.847 4.089 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 2.534 3.275 3.847 3.847 3.847 3.847 3.850 3.847 3.847 3.798 3.875 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.018 3.796 3.687 3.698 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.390 3.846 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.537 3.847 3.847 3.039 3.441 3.923 2.932 3.621 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 2.051 2.789 3.881 4.504 2.887 3.636 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 2.490 1.992 1.918 3.270 3.847 3.847 3.847 3.821 3.804 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 1.917 1.931 2.205 2.190 2.203 3.847 3.847 3.847 3.876 3.065 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 1.648 1.646 1.911 1.721 2.253 3.340 3.847 3.847 3.830 2.502 3.162 3.847 3.847 3.847 3.847 3.728 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 1.814 2.011 2.806 2.048 3.195 3.622 3.598 3.847 3.847 2.458 1.799 2.005 3.847 3.847 3.851 3.816 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 2.500 2.473 2.765 3.847 2.443 3.847 3.909 3.847 3.847 3.847 2.650 3.102 3.881 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 2.095 2.217 2.003 3.847 2.610 3.199 2.988 5.076 3.847 3.847 3.847 2.127 3.968 2.711 3.499 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.135 1.650 2.208 3.274 3.847 2.994 3.611 3.847 3.847 3.847 3.847 3.844 2.613 2.126 2.100 2.397 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 1.909 2.177 2.398 2.087 2.884 3.596 3.786 3.896 4.634 4.300 3.850 3.847 3.847 2.364 3.421 2.605 3.233 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.623 2.587 2.317 1.955 3.123 2.865 3.922 3.863 3.834 3.962 4.100 3.887 3.817 3.824 2.248 2.333 3.346 2.876 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.917 3.825 3.847 3.847 3.847 3.847 2.175 2.074 2.056 2.690 2.910 3.775 4.087 3.654 3.580 3.802 4.188 3.648 4.074 3.842 2.996 3.374 2.602 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 + 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.913 3.852 3.847 3.847 3.847 3.847 2.673 2.516 1.807 2.192 2.591 2.937 2.396 2.529 3.353 3.799 4.482 3.760 3.847 3.847 3.221 2.314 3.030 2.821 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 3.847 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2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.876 2.202 2.189 2.220 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.789 2.210 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.017 2.226 2.226 1.552 1.863 2.233 1.881 2.041 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.738 1.383 2.289 2.214 1.883 2.129 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.820 0.574 0.594 1.515 2.226 2.226 2.226 2.185 2.221 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.496 0.546 0.746 0.711 0.916 2.226 2.226 2.226 2.352 1.827 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.455 0.462 0.654 0.488 1.252 2.018 2.226 2.226 2.247 1.582 1.979 2.226 2.226 2.226 2.226 2.142 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.492 0.633 1.018 0.640 1.532 2.412 2.324 2.226 2.226 1.680 1.034 1.034 2.226 2.227 2.221 2.207 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.899 1.025 1.594 2.226 1.454 2.226 2.257 2.226 2.226 2.226 1.555 1.588 2.198 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.664 0.849 0.704 2.226 1.190 1.864 1.773 2.523 2.226 2.226 2.226 1.706 2.053 1.668 2.001 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.178 0.422 0.857 1.542 2.226 1.789 2.089 2.226 2.226 2.226 2.226 2.226 1.833 1.042 1.331 1.388 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.534 0.633 0.755 0.984 1.599 1.975 2.456 2.232 2.443 2.373 2.224 2.226 2.226 1.279 1.738 1.543 1.930 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.798 0.858 0.661 0.576 1.420 1.770 2.363 2.354 2.224 2.614 2.299 2.214 2.411 2.214 1.496 1.161 1.925 1.754 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.250 2.224 2.226 2.226 2.226 2.226 0.624 0.566 0.657 1.323 1.747 2.440 2.127 2.070 2.218 2.239 2.400 2.481 2.421 2.216 1.521 1.785 1.607 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.249 2.231 2.226 2.226 2.226 2.226 0.895 0.860 0.491 0.714 1.272 1.664 1.210 1.549 1.962 2.246 2.712 2.308 2.226 2.226 1.923 1.338 1.690 1.663 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.998 0.735 0.891 0.630 1.142 1.498 1.667 2.079 2.226 2.214 2.187 2.262 2.226 2.226 2.318 1.903 1.802 1.625 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.270 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.698 0.690 0.695 0.486 1.625 1.548 2.263 2.303 2.606 2.570 4.184 2.223 2.226 2.226 1.578 1.191 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.359 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.743 0.664 0.635 0.538 1.139 1.638 2.260 2.184 2.839 2.226 2.870 2.226 2.226 2.226 2.070 1.652 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.112 0.725 0.913 0.850 0.605 0.787 1.256 1.813 2.227 2.171 2.162 2.226 2.226 2.226 2.226 1.950 1.504 1.531 1.730 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.663 0.741 0.982 0.699 0.503 0.879 1.992 2.226 2.089 2.226 2.261 2.389 2.246 2.496 2.383 1.817 1.036 1.469 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.008 0.760 0.957 0.685 0.709 1.271 1.995 1.811 1.493 2.240 3.391 3.360 2.425 2.633 2.314 1.844 1.276 1.463 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.882 1.180 0.757 0.839 1.330 1.526 1.350 1.544 1.975 2.321 2.226 2.226 2.226 2.226 2.122 0.809 0.998 2.199 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.830 0.791 0.761 0.895 1.364 1.794 2.148 1.539 1.858 2.234 2.226 2.226 2.226 2.226 1.322 0.720 1.021 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.272 0.776 1.538 1.348 1.199 1.788 1.687 1.863 2.092 2.335 2.372 2.268 2.198 2.098 1.977 0.617 0.769 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.184 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.805 0.872 1.143 0.868 1.588 2.226 2.226 2.226 2.226 2.522 3.327 4.671 2.222 2.226 2.184 1.300 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.184 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.418 1.064 0.793 0.739 1.618 2.309 2.388 2.332 2.260 2.549 2.663 3.414 2.493 1.764 1.965 1.248 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.202 2.172 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.224 0.920 1.149 1.262 1.586 2.232 2.309 2.263 4.212 2.764 2.466 2.290 2.358 2.226 2.226 1.746 2.038 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.219 2.166 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.440 1.512 1.642 2.239 2.226 2.230 2.226 2.226 2.460 3.025 2.291 2.226 2.226 2.226 1.313 1.874 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.005 2.309 2.226 2.226 2.226 2.428 2.285 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.386 1.143 1.951 2.192 2.246 2.226 2.226 2.226 2.447 2.930 2.226 2.284 2.226 1.616 1.591 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.286 2.312 2.231 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.569 2.354 2.210 2.226 2.226 2.313 2.270 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.146 1.286 1.266 1.961 2.226 2.270 2.254 2.226 2.211 2.340 2.384 2.670 2.403 1.833 1.394 1.970 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.262 2.289 2.251 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.194 2.197 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.782 1.054 1.079 1.447 2.029 2.541 2.419 2.234 2.305 2.220 2.126 2.040 2.260 2.189 1.259 1.474 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.272 2.264 2.226 2.226 2.226 2.183 2.215 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.442 1.478 1.335 1.779 2.139 2.469 2.263 2.491 2.200 1.857 1.717 0.542 0.369 1.197 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.189 2.206 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.287 1.024 1.005 1.497 2.713 2.465 2.289 2.226 2.050 1.000 0.264 0.257 1.681 2.226 2.226 2.226 2.215 2.193 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.269 0.774 1.482 1.521 1.703 2.226 2.225 2.224 2.159 1.905 0.598 0.399 1.787 2.131 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.384 1.941 1.611 1.472 1.490 1.959 2.026 1.569 2.182 2.130 1.250 1.931 2.177 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.237 2.265 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.241 1.304 1.432 0.700 0.516 0.688 1.516 1.885 2.341 1.988 1.774 2.305 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.393 1.471 1.525 0.564 0.218 0.235 0.981 1.781 1.844 1.875 1.835 2.254 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 0.788 0.396 0.852 1.606 1.492 1.809 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 1.698 1.725 0.992 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.142 1.991 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 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2.193 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 + 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 2.226 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2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.200 2.179 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.389 2.371 2.346 2.367 2.446 2.502 2.399 2.266 2.399 2.267 2.250 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.459 2.534 2.574 2.552 2.413 2.510 2.465 2.324 2.399 2.399 2.399 2.399 2.399 2.382 2.386 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.342 2.363 2.449 2.505 2.399 2.487 2.387 2.441 2.538 2.399 2.402 2.404 2.399 2.382 2.394 2.374 2.502 2.651 2.418 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.323 2.315 2.303 2.297 2.270 2.399 2.399 2.385 2.440 2.507 2.478 2.399 2.399 2.399 2.382 2.399 2.399 2.505 2.612 2.426 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 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2.399 2.399 2.399 2.399 2.399 2.399 2.047 2.101 2.399 2.751 2.643 2.490 2.451 2.525 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.132 2.399 2.356 2.612 2.634 2.503 2.504 2.580 2.514 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.264 2.205 2.224 2.283 2.463 2.584 2.399 2.399 2.586 2.538 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.275 2.223 2.218 2.254 2.435 2.620 2.399 2.399 2.719 2.647 2.442 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.342 2.291 2.228 2.271 2.544 2.809 2.399 2.399 2.827 2.699 2.334 2.399 2.399 2.399 2.302 2.293 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.308 2.233 2.150 2.220 2.696 3.181 3.151 2.399 2.532 2.575 2.122 1.670 1.906 2.374 2.336 2.320 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.256 2.144 2.041 2.166 2.556 2.988 3.030 2.399 2.506 2.720 2.756 2.010 2.080 2.376 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.359 2.248 2.130 2.115 2.240 2.461 2.746 2.934 2.399 2.406 2.690 2.741 2.229 2.242 2.358 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.262 2.302 2.168 2.056 2.399 2.269 2.374 2.487 2.450 2.416 2.478 2.652 2.697 2.257 2.166 2.244 2.378 2.399 2.393 2.383 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.208 2.240 2.095 1.961 2.057 2.268 2.433 2.497 2.690 2.738 2.622 2.700 2.721 2.250 1.962 2.069 2.317 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.262 2.231 2.296 2.172 2.064 2.195 2.422 2.531 2.547 2.805 2.858 2.718 2.861 3.152 2.577 2.074 2.042 2.228 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.473 2.505 2.399 2.399 2.399 2.399 2.230 2.284 2.252 2.164 2.261 2.424 2.534 2.498 2.683 2.747 2.743 2.877 2.977 2.655 2.319 2.193 2.281 2.356 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.445 2.470 2.399 2.399 2.399 2.399 2.218 2.204 2.212 2.154 2.181 2.316 2.401 2.515 2.650 2.700 2.808 2.911 2.822 2.506 2.647 2.430 2.297 2.284 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 + 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.399 2.217 2.157 2.173 2.177 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2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.525 2.588 2.812 3.015 3.022 2.822 2.601 2.679 2.867 2.766 2.721 2.682 2.671 2.646 2.628 2.660 2.799 3.037 2.941 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.496 2.455 2.445 2.436 2.502 2.690 2.690 2.617 2.684 2.811 2.760 2.692 2.661 2.667 2.641 2.633 2.675 2.809 3.017 2.924 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.533 2.482 2.690 2.359 2.303 2.690 2.690 2.763 2.773 2.835 2.799 2.690 2.690 2.690 2.677 2.680 2.690 2.690 2.690 2.725 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 3.012 2.879 2.781 2.761 2.746 2.653 2.620 2.690 2.690 2.681 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.192 2.289 2.633 3.208 3.070 2.837 2.769 2.860 2.737 2.617 2.662 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.279 2.335 2.573 3.051 3.097 2.883 2.937 3.087 2.864 2.696 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.441 2.342 2.357 2.470 2.766 2.987 2.920 2.929 2.999 2.855 2.670 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.473 2.366 2.350 2.408 2.683 3.007 2.690 2.894 3.124 3.049 2.684 2.690 2.690 2.690 2.690 2.631 2.698 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.713 2.596 2.514 2.395 2.425 2.803 3.205 3.235 2.936 3.430 3.285 2.472 2.027 2.690 2.690 2.553 2.578 2.642 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 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2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.689 2.617 2.597 2.439 2.264 2.222 2.384 2.702 3.145 3.323 3.194 3.003 3.065 3.245 2.463 2.534 2.728 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 + 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.488 2.517 2.326 2.161 2.160 2.362 2.533 2.726 2.965 3.016 2.934 3.095 3.183 2.516 2.387 2.572 2.795 2.690 2.710 2.653 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 2.690 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2.968 2.968 2.968 2.968 2.563 2.968 2.591 2.571 2.751 2.976 3.006 3.011 3.076 2.993 2.860 2.842 2.878 2.900 2.897 2.939 3.051 3.239 3.217 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 + 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.620 2.713 2.968 3.330 3.174 3.066 3.058 3.008 2.879 2.823 2.932 2.945 2.919 2.939 2.970 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 + 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.446 2.506 2.883 3.462 3.330 3.136 3.143 3.250 3.035 2.862 2.936 2.968 2.968 2.944 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 + 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.750 2.431 2.456 2.779 3.446 3.442 3.149 3.415 3.728 3.199 2.892 2.948 2.968 2.957 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 + 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.603 2.435 2.437 2.615 3.067 3.440 3.314 3.397 3.521 3.156 2.902 2.968 2.968 2.954 2.957 2.982 2.973 2.979 2.976 2.968 2.968 2.968 2.968 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2.968 2.968 2.968 2.968 2.968 2.968 2.736 2.629 2.545 2.635 2.864 2.553 2.579 3.032 3.349 3.662 3.494 3.483 3.474 3.298 3.303 3.684 3.741 2.972 2.744 2.725 2.968 2.968 2.968 2.968 2.961 2.968 2.968 2.968 2.968 2.976 2.968 2.968 2.990 2.958 2.943 2.968 2.962 2.951 2.968 2.951 2.961 2.944 2.883 2.844 2.912 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 + 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.670 2.613 2.655 2.770 2.573 2.564 2.900 3.247 3.543 3.248 3.131 3.342 3.445 3.408 3.546 3.892 3.082 2.724 2.663 2.968 2.968 2.966 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 3.071 3.013 2.964 2.968 2.968 2.939 2.938 2.938 2.950 2.958 2.936 2.956 2.939 2.797 2.793 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 + 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.968 2.664 2.692 2.766 2.703 2.616 2.857 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4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 + 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 + 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 + 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 4.464 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.720 4.769 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.609 4.845 4.896 4.903 4.876 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.596 4.756 4.860 4.959 4.901 4.794 4.555 4.555 4.555 4.555 4.506 4.516 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.748 4.920 5.013 4.811 4.624 4.496 4.539 4.555 4.501 4.458 4.444 4.455 4.499 4.562 4.594 4.601 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.779 4.936 5.004 4.776 4.485 4.407 4.538 4.544 4.423 4.400 4.341 4.356 4.410 4.549 4.583 4.592 4.582 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.575 4.579 4.577 4.571 4.591 4.781 4.923 4.916 4.789 4.415 4.274 4.436 4.509 4.434 4.347 4.256 4.262 4.331 4.435 4.551 4.571 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.554 4.558 4.568 4.566 4.604 4.771 4.889 4.853 4.793 4.458 4.273 4.292 4.505 4.456 4.317 4.249 4.275 4.325 4.408 4.507 4.504 4.530 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.544 4.555 4.555 4.580 4.794 4.861 4.815 4.735 4.484 4.297 4.307 4.480 4.500 4.397 4.374 4.370 4.328 4.377 4.469 4.409 4.402 4.486 4.547 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.542 4.540 4.555 4.555 4.814 4.832 4.758 4.651 4.455 4.281 4.299 4.519 4.553 4.460 4.416 4.350 4.276 4.287 4.347 4.325 4.334 4.381 4.453 4.600 4.618 4.591 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.533 4.550 4.595 4.783 4.767 4.681 4.637 4.474 4.314 4.306 4.517 4.574 4.500 4.405 4.300 4.239 4.226 4.265 4.282 4.317 4.357 4.411 4.486 4.550 4.630 4.596 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.534 4.540 4.589 4.731 4.687 4.602 4.600 4.510 4.389 4.388 4.527 4.578 4.568 4.477 4.411 4.288 4.230 4.250 4.283 4.341 4.386 4.419 4.455 4.524 4.577 4.592 4.603 4.577 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.594 4.650 4.677 4.628 4.542 4.531 4.500 4.410 4.442 4.548 4.543 4.569 4.452 4.346 4.259 4.225 4.273 4.316 4.370 4.419 4.456 4.472 4.489 4.547 4.581 4.566 4.620 4.597 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.606 4.656 4.653 4.598 4.523 4.517 4.542 4.452 4.483 4.553 4.505 4.474 4.351 4.320 4.250 4.225 4.311 4.364 4.406 4.431 4.456 4.488 4.497 4.511 4.577 4.623 4.628 4.636 4.619 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.572 4.682 4.652 4.603 4.565 4.586 4.638 4.576 4.639 4.611 4.438 4.336 4.276 4.310 4.263 4.245 4.334 4.405 4.455 4.459 4.458 4.477 4.499 4.499 4.543 4.623 4.714 4.743 4.746 4.643 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.674 4.654 4.635 4.627 4.611 4.665 4.663 4.710 4.582 4.351 4.238 4.236 4.340 4.290 4.266 4.322 4.413 4.480 4.493 4.488 4.508 4.529 4.513 4.521 4.595 4.707 4.804 4.802 4.736 4.684 4.591 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.574 4.662 4.677 4.652 4.633 4.606 4.569 4.612 4.629 4.634 4.467 4.292 4.206 4.233 4.348 4.309 4.295 4.303 4.370 4.470 4.518 4.514 4.501 4.527 4.538 4.518 4.528 4.620 4.733 4.763 4.736 4.683 4.601 4.601 4.555 4.604 4.579 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.606 4.652 4.669 4.643 4.606 4.581 4.539 4.553 4.531 4.507 4.364 4.257 4.177 4.216 4.321 4.360 4.358 4.352 4.366 4.439 4.513 4.541 4.515 4.478 4.481 4.511 4.546 4.599 4.692 4.751 4.733 4.738 4.675 4.598 4.634 4.656 4.723 4.586 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.603 4.629 4.642 4.575 4.572 4.579 4.559 4.521 4.455 4.421 4.359 4.261 4.188 4.194 4.247 4.350 4.348 4.360 4.406 4.483 4.530 4.567 4.552 4.484 4.439 4.440 4.482 4.548 4.651 4.763 4.814 4.797 4.773 4.703 4.682 4.713 4.747 4.756 4.587 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.584 4.549 4.580 4.567 4.555 4.555 4.650 4.614 4.543 4.418 4.399 4.409 4.335 4.252 4.209 4.228 4.316 4.315 4.335 4.378 4.456 4.515 4.560 4.570 4.514 4.465 4.429 4.447 4.487 4.570 4.691 4.832 4.880 4.869 4.817 4.813 4.788 4.779 4.774 4.742 4.585 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.578 4.588 4.583 4.555 4.555 4.712 4.731 4.720 4.614 4.417 4.418 4.518 4.466 4.337 4.195 4.198 4.349 4.363 4.339 4.312 4.354 4.413 4.510 4.550 4.509 4.456 4.434 4.446 4.497 4.531 4.623 4.769 4.862 4.906 4.838 4.829 4.849 4.857 4.843 4.800 4.753 4.602 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.618 4.708 4.768 4.752 4.641 4.465 4.469 4.535 4.446 4.304 4.143 4.144 4.340 4.375 4.329 4.309 4.300 4.340 4.447 4.573 4.570 4.502 4.451 4.472 4.506 4.526 4.580 4.698 4.843 4.887 4.841 4.763 4.759 4.827 4.874 4.861 4.811 4.733 4.670 4.605 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.544 4.539 4.566 4.614 4.664 4.664 4.577 4.426 4.475 4.543 4.346 4.125 4.020 4.093 4.301 4.408 4.367 4.367 4.342 4.396 4.474 4.575 4.625 4.573 4.523 4.487 4.469 4.471 4.521 4.616 4.762 4.862 4.836 4.726 4.693 4.740 4.808 4.823 4.765 4.682 4.619 4.585 4.554 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.466 4.486 4.507 4.509 4.534 4.546 4.488 4.328 4.348 4.451 4.344 4.086 3.979 4.065 4.276 4.400 4.404 4.414 4.375 4.463 4.510 4.548 4.578 4.566 4.505 4.474 4.448 4.419 4.412 4.476 4.593 4.712 4.758 4.702 4.695 4.686 4.711 4.732 4.707 4.643 4.602 4.601 4.620 4.566 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.572 4.561 4.542 4.519 4.486 4.461 4.467 4.404 4.235 4.199 4.249 4.269 4.133 4.026 4.029 4.196 4.361 4.437 4.442 4.396 4.508 4.583 4.541 4.509 4.526 4.475 4.408 4.367 4.403 4.473 4.523 4.616 4.713 4.753 4.698 4.707 4.690 4.582 4.597 4.615 4.635 4.672 4.696 4.666 4.603 4.574 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.535 4.555 4.593 4.600 4.680 4.679 4.650 4.554 4.432 4.377 4.340 4.221 4.102 4.044 4.099 4.086 4.055 4.050 4.181 4.332 4.382 4.362 4.341 4.467 4.601 4.600 4.555 4.571 4.559 4.499 4.461 4.458 4.526 4.636 4.765 4.853 4.852 4.732 4.678 4.655 4.570 4.532 4.604 4.695 4.749 4.702 4.634 4.598 4.580 4.575 4.551 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.438 4.546 4.526 4.582 4.676 4.716 4.691 4.594 4.441 4.333 4.333 4.331 4.213 4.015 4.032 4.023 4.032 4.056 4.155 4.322 4.464 4.439 4.377 4.565 4.609 4.598 4.585 4.590 4.552 4.487 4.450 4.466 4.534 4.657 4.777 4.887 4.877 4.778 4.750 4.693 4.642 4.648 4.694 4.716 4.687 4.619 4.583 4.582 4.583 4.584 4.576 4.568 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.524 4.555 4.643 4.718 4.710 4.601 4.462 4.346 4.330 4.359 4.337 4.086 4.045 4.052 4.039 4.089 4.177 4.293 4.446 4.515 4.453 4.623 4.794 4.623 4.550 4.587 4.598 4.549 4.467 4.409 4.424 4.503 4.651 4.767 4.784 4.745 4.722 4.782 4.807 4.766 4.703 4.660 4.621 4.559 4.532 4.551 4.574 4.591 4.596 4.584 4.577 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.582 4.612 4.658 4.682 4.622 4.563 4.501 4.429 4.391 4.402 4.260 4.106 4.122 4.102 4.141 4.207 4.262 4.400 4.499 4.411 4.459 4.749 4.724 4.637 4.632 4.546 4.509 4.528 4.530 4.522 4.499 4.488 4.568 4.727 4.876 4.893 4.823 4.794 4.753 4.705 4.670 4.627 4.587 4.552 4.531 4.557 4.597 4.617 4.617 4.614 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.624 4.656 4.688 4.631 4.519 4.450 4.444 4.288 4.246 4.185 4.155 4.153 4.219 4.347 4.471 4.447 4.389 4.611 4.749 4.680 4.639 4.610 4.508 4.462 4.497 4.527 4.507 4.476 4.528 4.715 4.844 4.858 4.792 4.690 4.610 4.509 4.421 4.429 4.497 4.535 4.550 4.548 4.588 4.633 4.653 4.649 4.596 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.619 4.739 4.674 4.594 4.537 4.487 4.463 4.390 4.239 4.132 4.219 4.409 4.433 4.450 4.336 4.574 4.806 4.719 4.562 4.561 4.584 4.473 4.456 4.490 4.516 4.539 4.588 4.645 4.675 4.670 4.700 4.674 4.560 4.456 4.399 4.379 4.420 4.485 4.503 4.520 4.566 4.608 4.648 4.663 4.654 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.614 4.555 4.555 4.696 4.716 4.688 4.620 4.564 4.604 4.524 4.309 4.104 4.111 4.348 4.403 4.365 4.283 4.446 4.611 4.654 4.614 4.646 4.718 4.589 4.493 4.445 4.372 4.465 4.677 4.760 4.588 4.471 4.475 4.502 4.491 4.476 4.421 4.392 4.426 4.478 4.490 4.480 4.449 4.501 4.575 4.631 4.635 4.611 4.572 4.538 4.552 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.824 4.666 4.555 4.555 4.555 4.555 4.684 4.728 4.669 4.579 4.584 4.518 4.301 4.062 4.046 4.362 4.535 4.490 4.335 4.449 4.579 4.601 4.602 4.743 4.852 4.723 4.508 4.429 4.371 4.389 4.408 4.408 4.434 4.456 4.481 4.467 4.442 4.481 4.544 4.556 4.563 4.496 4.426 4.424 4.400 4.386 4.395 4.488 4.590 4.612 4.589 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.773 4.881 4.836 4.555 4.555 4.555 4.555 4.555 4.764 4.784 4.710 4.584 4.501 4.499 4.357 4.066 3.998 4.302 4.577 4.554 4.330 4.326 4.537 4.630 4.653 4.860 4.849 4.576 4.318 4.243 4.249 4.274 4.261 4.299 4.383 4.444 4.458 4.457 4.444 4.467 4.492 4.521 4.524 4.492 4.411 4.405 4.364 4.399 4.400 4.432 4.479 4.545 4.558 4.585 4.596 4.573 4.558 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.754 4.804 4.849 4.883 4.555 4.555 4.555 4.555 4.849 4.854 4.823 4.786 4.718 4.619 4.536 4.527 4.414 4.175 4.040 4.292 4.716 4.649 4.397 4.229 4.392 4.582 4.688 4.830 4.786 4.480 4.274 4.251 4.289 4.325 4.332 4.383 4.445 4.471 4.459 4.410 4.380 4.458 4.517 4.526 4.500 4.511 4.495 4.469 4.425 4.502 4.451 4.448 4.483 4.490 4.511 4.522 4.534 4.523 4.490 4.493 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.797 4.779 4.807 4.803 4.555 4.555 4.612 4.888 4.911 4.883 4.842 4.798 4.757 4.716 4.639 4.544 4.486 4.339 4.190 4.104 4.278 4.719 4.657 4.215 4.178 4.280 4.373 4.427 4.580 4.610 4.490 4.376 4.341 4.372 4.420 4.452 4.517 4.531 4.484 4.431 4.393 4.417 4.518 4.538 4.520 4.500 4.520 4.572 4.545 4.510 4.584 4.473 4.481 4.514 4.458 4.451 4.450 4.457 4.468 4.467 4.461 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.578 4.752 4.776 4.555 4.555 4.555 4.621 4.870 4.906 4.906 4.867 4.824 4.791 4.778 4.763 4.705 4.606 4.529 4.474 4.393 4.334 4.364 4.463 4.656 4.694 4.154 4.117 4.085 4.163 4.313 4.588 4.589 4.549 4.603 4.582 4.487 4.417 4.403 4.465 4.431 4.404 4.461 4.505 4.546 4.633 4.556 4.395 4.338 4.364 4.490 4.544 4.556 4.556 4.496 4.574 4.642 4.560 4.528 4.508 4.499 4.510 4.519 4.528 4.549 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.578 4.555 4.555 4.555 4.682 4.742 4.901 4.894 4.868 4.739 4.807 4.800 4.804 4.803 4.787 4.593 4.556 4.511 4.484 4.463 4.477 4.614 4.701 4.658 4.752 4.144 3.911 3.994 4.326 4.635 4.667 4.589 4.568 4.622 4.609 4.507 4.391 4.339 4.345 4.337 4.380 4.476 4.563 4.568 4.557 4.443 4.300 4.254 4.274 4.351 4.429 4.453 4.447 4.436 4.503 4.529 4.533 4.516 4.507 4.490 4.506 4.529 4.547 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.582 4.656 4.743 4.743 4.693 4.555 4.555 4.747 4.813 4.834 4.846 4.831 4.801 4.606 4.555 4.555 4.501 4.506 4.533 4.598 4.797 4.942 4.790 4.671 4.186 3.974 4.274 4.794 4.890 4.655 4.488 4.507 4.570 4.491 4.413 4.396 4.408 4.417 4.464 4.420 4.488 4.491 4.495 4.462 4.361 4.280 4.266 4.307 4.355 4.405 4.422 4.447 4.453 4.423 4.406 4.459 4.484 4.506 4.462 4.482 4.513 4.548 4.558 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.589 4.632 4.642 4.684 4.636 4.702 4.780 4.842 4.884 4.878 4.879 4.768 4.614 4.555 4.555 4.555 4.555 4.543 4.549 4.608 4.662 4.752 4.740 4.755 4.479 4.318 4.740 4.759 4.648 4.585 4.470 4.475 4.474 4.381 4.339 4.368 4.440 4.500 4.526 4.489 4.488 4.542 4.555 4.543 4.465 4.310 4.306 4.357 4.432 4.459 4.495 4.513 4.510 4.435 4.423 4.465 4.488 4.520 4.466 4.442 4.458 4.506 4.532 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.580 4.612 4.675 4.666 4.679 4.718 4.788 4.846 4.877 4.859 4.727 4.610 4.555 4.555 4.555 4.555 4.555 4.533 4.531 4.561 4.585 4.593 4.527 4.600 4.665 4.674 4.826 4.612 4.566 4.522 4.379 4.376 4.379 4.352 4.337 4.339 4.365 4.427 4.520 4.542 4.543 4.555 4.506 4.495 4.495 4.484 4.470 4.464 4.481 4.510 4.547 4.555 4.555 4.555 4.522 4.526 4.555 4.537 4.485 4.460 4.483 4.524 4.542 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.581 4.614 4.628 4.682 4.762 4.811 4.845 4.806 4.731 4.675 4.555 4.555 4.495 4.440 4.555 4.552 4.569 4.570 4.594 4.623 4.636 4.575 4.575 4.824 4.742 4.574 4.546 4.484 4.347 4.352 4.365 4.360 4.349 4.320 4.293 4.298 4.369 4.494 4.623 4.555 4.555 4.555 4.555 4.555 4.533 4.530 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.546 4.558 4.556 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.616 4.777 4.755 4.698 4.665 4.555 4.555 4.459 4.431 4.555 4.555 4.555 4.569 4.594 4.657 4.592 4.587 4.604 4.699 4.571 4.428 4.468 4.518 4.438 4.402 4.380 4.383 4.384 4.353 4.305 4.254 4.227 4.279 4.440 4.585 4.662 4.555 4.555 4.555 4.538 4.555 4.551 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.554 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.579 4.703 4.686 4.664 4.633 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.679 4.612 4.544 4.574 4.672 4.563 4.419 4.477 4.574 4.519 4.440 4.389 4.382 4.388 4.357 4.327 4.461 4.470 4.336 4.340 4.420 4.577 4.715 4.661 4.549 4.509 4.514 4.540 4.550 4.559 4.576 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.596 4.609 4.592 4.619 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.588 4.560 4.574 4.589 4.557 4.513 4.560 4.605 4.506 4.408 4.388 4.495 4.470 4.481 4.462 4.479 4.453 4.483 4.492 4.409 4.461 4.562 4.681 4.698 4.568 4.493 4.555 4.553 4.562 4.555 4.513 4.506 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.552 4.550 4.578 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.570 4.551 4.547 4.533 4.506 4.540 4.586 4.503 4.416 4.421 4.555 4.555 4.436 4.497 4.519 4.486 4.486 4.417 4.451 4.438 4.441 4.503 4.591 4.603 4.538 4.518 4.519 4.555 4.469 4.481 4.547 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.543 4.540 4.517 4.507 4.532 4.567 4.524 4.434 4.396 4.459 4.493 4.459 4.544 4.555 4.555 4.526 4.524 4.520 4.485 4.395 4.421 4.437 4.492 4.533 4.503 4.480 4.450 4.460 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.541 4.545 4.555 4.559 4.522 4.464 4.445 4.494 4.519 4.519 4.556 4.555 4.555 4.555 4.555 4.555 4.555 4.537 4.536 4.433 4.435 4.423 4.442 4.432 4.440 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.561 4.559 4.545 4.509 4.495 4.499 4.563 4.551 4.545 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.465 4.459 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.544 4.522 4.502 4.534 4.573 4.574 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.572 4.569 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 + 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 4.555 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4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.721 4.717 4.696 4.647 4.644 4.722 4.677 4.600 4.580 4.531 4.463 4.432 4.478 4.543 4.571 4.557 4.565 4.618 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.706 4.712 4.716 4.682 4.692 4.660 4.653 4.764 4.776 4.671 4.560 4.523 4.470 4.426 4.411 4.470 4.542 4.570 4.567 4.557 4.613 4.672 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 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4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.685 4.669 4.645 4.682 4.670 4.671 4.692 4.747 4.804 4.838 4.812 4.707 4.640 4.560 4.516 4.501 4.513 4.505 4.459 4.451 4.493 4.535 4.581 4.629 4.644 4.646 4.658 4.667 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.701 4.704 4.697 4.675 4.646 4.662 4.714 4.774 4.737 4.614 4.531 4.487 4.490 4.518 4.550 4.562 4.537 4.495 4.497 4.519 4.555 4.611 4.660 4.669 4.654 4.638 4.658 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.652 4.586 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4.665 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.674 4.615 4.590 4.605 4.623 4.654 4.562 4.438 4.383 4.397 4.481 4.565 4.604 4.595 4.585 4.562 4.595 4.619 4.618 4.627 4.649 4.658 4.677 4.682 4.687 4.668 4.635 4.613 4.598 4.592 4.621 4.609 4.674 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.628 4.613 4.602 4.631 4.664 4.666 4.565 4.445 4.437 4.395 4.454 4.547 4.635 4.630 4.602 4.529 4.555 4.609 4.623 4.643 4.662 4.666 4.673 4.682 4.680 4.685 4.669 4.647 4.616 4.596 4.592 4.635 4.632 4.676 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.616 4.569 4.598 4.637 4.673 4.652 4.581 4.471 4.418 4.410 4.451 4.523 4.629 4.672 4.653 4.552 4.537 4.583 4.626 4.646 4.698 4.706 4.698 4.693 4.682 4.705 4.675 4.669 4.655 4.644 4.621 4.641 4.688 4.643 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.668 4.594 4.585 4.585 4.617 4.640 4.613 4.559 4.490 4.438 4.442 4.445 4.532 4.632 4.684 4.679 4.576 4.547 4.574 4.614 4.642 4.686 4.735 4.751 4.733 4.710 4.679 4.688 4.701 4.673 4.668 4.661 4.650 4.651 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.671 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.601 4.575 4.592 4.622 4.646 4.587 4.528 4.471 4.437 4.461 4.481 4.544 4.611 4.651 4.681 4.619 4.563 4.587 4.622 4.625 4.658 4.708 4.758 4.780 4.776 4.761 4.681 4.673 4.688 4.689 4.676 4.670 4.667 4.689 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.631 4.570 4.609 4.688 4.688 4.665 4.665 4.672 4.688 4.606 4.576 4.583 4.612 4.673 4.653 4.532 4.485 4.467 4.495 4.504 4.558 4.611 4.633 4.657 4.654 4.601 4.627 4.660 4.632 4.635 4.682 4.703 4.747 4.802 4.820 4.802 4.745 4.674 4.664 4.688 4.688 4.678 4.676 4.682 4.684 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.601 4.601 4.688 4.688 4.553 4.559 4.559 4.556 4.559 4.563 4.569 4.592 4.664 4.736 4.658 4.516 4.463 4.514 4.568 4.559 4.581 4.626 4.699 4.692 4.614 4.633 4.674 4.696 4.663 4.681 4.696 4.683 4.726 4.789 4.830 4.822 4.791 4.700 4.679 4.661 4.688 4.688 4.679 4.674 4.685 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.592 4.550 4.558 4.542 4.527 4.528 4.533 4.560 4.637 4.744 4.795 4.669 4.481 4.467 4.588 4.651 4.595 4.588 4.727 4.780 4.690 4.667 4.689 4.712 4.699 4.730 4.760 4.719 4.694 4.715 4.763 4.809 4.817 4.789 4.714 4.690 4.676 4.674 4.700 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.668 4.577 4.559 4.544 4.544 4.528 4.519 4.577 4.681 4.778 4.752 4.553 4.431 4.527 4.700 4.708 4.626 4.706 4.823 4.778 4.709 4.731 4.738 4.742 4.728 4.802 4.803 4.767 4.746 4.741 4.759 4.791 4.801 4.779 4.727 4.704 4.673 4.661 4.665 4.701 4.698 4.697 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.624 4.562 4.573 4.563 4.538 4.543 4.602 4.693 4.699 4.584 4.473 4.469 4.635 4.704 4.652 4.740 4.812 4.835 4.786 4.679 4.675 4.768 4.780 4.779 4.841 4.844 4.786 4.770 4.769 4.772 4.779 4.792 4.796 4.771 4.713 4.651 4.630 4.631 4.627 4.651 4.674 4.700 4.706 4.690 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.674 4.591 4.587 4.558 4.532 4.522 4.584 4.585 4.501 4.482 4.504 4.574 4.644 4.628 4.712 4.791 4.799 4.723 4.652 4.616 4.670 4.770 4.861 4.871 4.864 4.854 4.798 4.726 4.727 4.724 4.730 4.768 4.780 4.742 4.680 4.663 4.615 4.571 4.563 4.545 4.561 4.590 4.670 4.686 4.701 4.698 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.680 4.610 4.571 4.528 4.476 4.486 4.514 4.430 4.454 4.522 4.562 4.587 4.623 4.728 4.748 4.769 4.716 4.626 4.618 4.724 4.839 4.835 4.868 4.875 4.862 4.820 4.665 4.614 4.640 4.699 4.720 4.693 4.637 4.631 4.706 4.647 4.585 4.493 4.473 4.476 4.492 4.551 4.595 4.641 4.675 4.686 4.688 4.688 4.688 4.688 4.688 4.688 4.688 + 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.688 4.678 4.585 4.531 4.485 4.451 4.445 4.436 4.498 4.613 4.569 4.508 4.554 4.752 4.723 4.671 4.645 4.659 4.783 4.927 4.942 4.849 4.788 4.832 4.806 4.721 4.480 4.478 4.593 4.619 4.633 4.643 4.582 4.605 4.629 4.585 4.598 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4.762 4.748 4.807 4.894 4.923 4.902 4.826 4.728 4.702 4.686 4.614 4.558 4.707 4.683 4.675 4.657 4.651 4.705 4.751 4.756 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.826 4.857 4.843 4.825 4.795 4.755 4.737 4.715 4.670 4.585 4.557 4.703 4.688 4.665 4.648 4.656 4.673 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.823 4.828 4.804 4.779 4.752 4.761 4.767 4.738 4.695 4.641 4.571 4.615 4.691 4.669 4.644 4.642 4.656 4.672 4.732 4.741 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.801 4.784 4.771 4.702 4.727 4.759 4.742 4.702 4.660 4.609 4.613 4.665 4.688 4.661 4.643 4.642 4.658 4.685 4.737 4.746 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.777 4.720 4.667 4.652 4.657 4.762 4.739 4.698 4.668 4.640 4.624 4.647 4.695 4.700 4.687 4.664 4.669 4.691 4.703 4.743 4.758 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.772 4.718 4.622 4.595 4.581 4.680 4.762 4.750 4.672 4.648 4.640 4.656 4.691 4.715 4.713 4.695 4.698 4.735 4.746 4.732 4.755 4.757 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.769 4.764 4.762 4.572 4.561 4.570 4.653 4.762 4.741 4.676 4.643 4.635 4.701 4.733 4.730 4.721 4.716 4.746 4.791 4.770 4.763 4.756 4.761 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.753 4.755 4.762 4.760 4.762 4.729 4.595 4.581 4.547 4.552 4.541 4.710 4.721 4.642 4.648 4.655 4.715 4.727 4.741 4.759 4.755 4.797 4.843 4.798 4.767 4.760 4.766 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.736 4.680 4.687 4.680 4.762 4.762 4.685 4.674 4.550 4.606 4.673 4.505 4.521 4.530 4.577 4.611 4.632 4.644 4.678 4.697 4.722 4.761 4.762 4.812 4.857 4.873 4.808 4.768 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.741 4.648 4.628 4.624 4.645 4.751 4.644 4.520 4.538 4.547 4.716 4.555 4.541 4.537 4.505 4.544 4.588 4.616 4.634 4.683 4.684 4.695 4.752 4.762 4.815 4.912 4.838 4.801 4.768 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.712 4.653 4.625 4.609 4.622 4.669 4.670 4.551 4.539 4.543 4.663 4.657 4.593 4.580 4.526 4.492 4.521 4.566 4.596 4.631 4.654 4.670 4.681 4.709 4.762 4.799 4.913 4.826 4.791 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.703 4.648 4.603 4.596 4.589 4.659 4.668 4.594 4.570 4.552 4.586 4.619 4.641 4.634 4.575 4.500 4.483 4.511 4.545 4.592 4.639 4.655 4.669 4.682 4.713 4.761 4.809 4.879 4.802 4.781 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.726 4.659 4.633 4.608 4.575 4.610 4.655 4.619 4.596 4.575 4.564 4.598 4.642 4.676 4.640 4.550 4.498 4.479 4.514 4.550 4.606 4.631 4.671 4.696 4.700 4.714 4.774 4.811 4.860 4.796 4.766 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.698 4.721 4.762 4.762 4.762 4.762 4.762 4.702 4.673 4.674 4.657 4.626 4.601 4.624 4.603 4.594 4.604 4.579 4.581 4.614 4.677 4.684 4.585 4.519 4.494 4.493 4.511 4.559 4.611 4.620 4.661 4.688 4.711 4.729 4.758 4.812 4.833 4.774 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.638 4.603 4.730 4.762 4.762 4.762 4.743 4.762 4.678 4.676 4.683 4.679 4.662 4.653 4.606 4.568 4.610 4.603 4.593 4.581 4.643 4.700 4.629 4.532 4.499 4.508 4.505 4.526 4.582 4.609 4.624 4.658 4.689 4.718 4.749 4.783 4.818 4.830 4.769 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.742 4.655 4.662 4.762 4.762 4.762 4.695 4.575 4.569 4.610 4.657 4.668 4.692 4.715 4.678 4.595 4.606 4.603 4.629 4.603 4.617 4.681 4.639 4.561 4.521 4.523 4.535 4.522 4.562 4.605 4.629 4.651 4.676 4.703 4.728 4.761 4.806 4.839 4.849 4.786 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.728 4.762 4.762 4.762 4.609 4.542 4.533 4.570 4.624 4.652 4.663 4.705 4.735 4.676 4.657 4.598 4.633 4.670 4.664 4.690 4.632 4.554 4.525 4.543 4.574 4.562 4.537 4.591 4.638 4.661 4.676 4.703 4.730 4.745 4.786 4.831 4.863 4.864 4.836 4.774 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.586 4.553 4.574 4.593 4.634 4.638 4.645 4.688 4.681 4.689 4.676 4.641 4.650 4.763 4.804 4.712 4.579 4.519 4.519 4.561 4.632 4.596 4.583 4.639 4.669 4.693 4.711 4.749 4.768 4.774 4.798 4.832 4.850 4.862 4.868 4.837 4.770 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.679 4.605 4.604 4.605 4.610 4.625 4.608 4.615 4.629 4.657 4.690 4.703 4.641 4.677 4.862 4.840 4.681 4.564 4.511 4.517 4.573 4.667 4.682 4.708 4.708 4.683 4.676 4.745 4.790 4.792 4.759 4.734 4.762 4.836 4.870 4.855 4.817 4.765 4.762 4.762 4.712 4.719 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.699 4.640 4.651 4.625 4.624 4.623 4.600 4.601 4.641 4.727 4.713 4.674 4.660 4.787 4.863 4.731 4.653 4.625 4.605 4.599 4.632 4.713 4.790 4.823 4.735 4.636 4.673 4.748 4.773 4.733 4.676 4.711 4.819 4.840 4.826 4.795 4.738 4.678 4.729 4.682 4.716 4.732 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.721 4.636 4.631 4.625 4.643 4.640 4.648 4.790 4.838 4.700 4.636 4.735 4.815 4.674 4.614 4.665 4.773 4.757 4.671 4.695 4.727 4.780 4.797 4.740 4.706 4.711 4.721 4.705 4.728 4.830 4.868 4.803 4.820 4.796 4.708 4.657 4.715 4.700 4.689 4.708 4.736 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.759 4.643 4.627 4.632 4.650 4.710 4.727 4.806 4.888 4.755 4.606 4.709 4.782 4.634 4.477 4.578 4.767 4.831 4.766 4.774 4.750 4.871 4.798 4.651 4.709 4.813 4.722 4.637 4.727 4.868 4.866 4.816 4.895 4.848 4.707 4.628 4.704 4.738 4.732 4.675 4.677 4.686 4.675 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.752 4.676 4.630 4.617 4.648 4.705 4.801 4.834 4.802 4.781 4.663 4.657 4.773 4.660 4.676 4.738 4.889 4.916 4.823 4.850 4.819 4.771 4.611 4.497 4.537 4.717 4.663 4.629 4.706 4.812 4.809 4.830 4.912 4.860 4.706 4.600 4.695 4.782 4.809 4.787 4.731 4.705 4.658 4.699 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.637 4.606 4.648 4.717 4.774 4.779 4.666 4.706 4.904 4.782 4.889 4.821 4.784 4.775 4.838 4.783 4.728 4.761 4.773 4.754 4.660 4.570 4.539 4.569 4.529 4.622 4.706 4.752 4.753 4.808 4.851 4.795 4.633 4.542 4.703 4.885 4.864 4.882 4.836 4.788 4.729 4.714 4.709 4.745 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.769 4.734 4.683 4.640 4.677 4.774 4.756 4.704 4.618 4.579 4.883 4.745 4.617 4.640 4.630 4.598 4.572 4.594 4.603 4.606 4.602 4.628 4.604 4.547 4.491 4.493 4.478 4.556 4.656 4.708 4.696 4.703 4.732 4.746 4.658 4.550 4.601 4.743 4.767 4.904 4.929 4.826 4.763 4.758 4.727 4.707 4.764 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.767 4.761 4.722 4.722 4.760 4.845 4.763 4.681 4.546 4.528 4.702 4.558 4.482 4.529 4.598 4.590 4.570 4.602 4.602 4.593 4.558 4.534 4.504 4.481 4.490 4.487 4.464 4.507 4.558 4.570 4.538 4.551 4.601 4.604 4.552 4.468 4.473 4.544 4.600 4.757 4.909 4.845 4.771 4.715 4.692 4.699 4.713 4.746 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.768 4.808 4.839 4.774 4.714 4.633 4.605 4.684 4.608 4.516 4.535 4.591 4.556 4.498 4.526 4.590 4.599 4.549 4.474 4.458 4.475 4.489 4.503 4.504 4.511 4.525 4.520 4.496 4.500 4.520 4.494 4.446 4.406 4.417 4.445 4.453 4.542 4.744 4.786 4.758 4.704 4.688 4.697 4.712 4.738 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.839 4.816 4.725 4.704 4.694 4.680 4.711 4.638 4.561 4.551 4.604 4.602 4.586 4.585 4.544 4.468 4.443 4.488 4.516 4.529 4.525 4.523 4.524 4.514 4.498 4.492 4.516 4.504 4.505 4.479 4.430 4.421 4.449 4.457 4.475 4.575 4.671 4.715 4.776 4.753 4.720 4.731 4.742 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.766 4.731 4.771 4.785 4.774 4.812 4.711 4.578 4.518 4.557 4.632 4.615 4.565 4.532 4.521 4.568 4.626 4.651 4.641 4.622 4.636 4.634 4.623 4.613 4.607 4.581 4.578 4.556 4.523 4.477 4.452 4.463 4.480 4.492 4.541 4.627 4.692 4.781 4.769 4.760 4.756 4.747 4.759 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.824 4.815 4.772 4.751 4.729 4.676 4.631 4.674 4.624 4.589 4.565 4.553 4.560 4.609 4.666 4.695 4.681 4.665 4.652 4.663 4.699 4.664 4.669 4.752 4.754 4.762 4.722 4.712 4.706 4.600 4.528 4.526 4.566 4.637 4.665 4.721 4.744 4.783 4.774 4.751 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.766 4.732 4.728 4.750 4.748 4.727 4.762 4.720 4.570 4.563 4.571 4.585 4.628 4.672 4.688 4.723 4.677 4.679 4.680 4.690 4.694 4.737 4.762 4.762 4.762 4.762 4.762 4.762 4.729 4.616 4.546 4.556 4.585 4.616 4.659 4.722 4.765 4.772 4.753 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.769 4.764 4.736 4.619 4.603 4.594 4.635 4.637 4.646 4.689 4.723 4.745 4.762 4.758 4.751 4.749 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.654 4.607 4.553 4.574 4.611 4.686 4.750 4.769 4.758 4.756 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.764 4.768 4.762 4.708 4.626 4.624 4.679 4.662 4.670 4.753 4.762 4.762 4.772 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.738 4.609 4.661 4.737 4.774 4.766 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.717 4.737 4.735 4.735 4.743 4.762 4.826 4.820 4.821 4.812 4.795 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.764 4.768 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.771 4.759 4.758 4.748 4.744 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 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4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 4.762 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 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4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.799 4.786 4.821 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.783 4.759 4.789 4.811 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.807 4.743 4.733 4.727 4.753 4.800 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.946 4.890 4.829 4.830 4.830 4.831 4.815 4.780 4.757 4.729 4.738 4.790 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.812 4.719 4.742 4.805 4.824 4.825 4.824 4.817 4.780 4.709 4.704 4.757 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.820 4.711 4.727 4.811 4.822 4.816 4.794 4.801 4.876 4.735 4.662 4.664 4.781 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.801 4.799 4.846 4.850 4.810 4.803 4.862 4.954 4.796 4.629 4.618 4.610 4.721 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.836 4.876 4.866 4.870 4.934 4.958 4.802 4.599 4.569 4.596 4.661 4.701 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.836 4.906 4.963 4.985 4.951 4.818 4.736 4.608 4.622 4.682 4.707 4.726 4.777 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.836 5.001 4.994 4.936 4.816 4.747 4.699 4.645 4.683 4.729 4.732 4.735 4.774 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.916 4.940 4.907 4.834 4.796 4.755 4.697 4.682 4.752 4.756 4.749 4.737 4.738 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.884 4.910 4.879 4.846 4.829 4.798 4.756 4.708 4.691 4.830 4.798 4.757 4.735 4.740 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.858 4.858 4.836 4.840 4.830 4.831 4.811 4.741 4.712 4.744 4.796 4.808 4.830 4.766 4.746 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.845 4.830 4.806 4.819 4.830 4.832 4.830 4.830 4.830 4.752 4.784 4.805 4.830 4.810 4.807 4.821 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.769 4.806 4.830 4.816 4.773 4.749 4.810 4.794 4.821 4.800 4.799 4.773 4.791 4.789 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.757 4.830 4.830 4.830 4.790 4.693 4.725 4.716 4.760 4.795 4.810 4.784 4.754 4.741 4.776 4.830 4.830 4.834 4.839 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.749 4.669 4.752 4.830 4.805 4.732 4.669 4.688 4.710 4.758 4.781 4.793 4.788 4.734 4.750 4.771 4.830 4.830 4.837 4.840 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.678 4.627 4.596 4.830 4.802 4.732 4.686 4.686 4.718 4.769 4.773 4.766 4.760 4.737 4.737 4.816 4.836 4.833 4.840 4.843 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.820 4.830 4.830 4.830 4.830 4.830 4.830 4.767 4.576 4.582 4.740 4.804 4.743 4.705 4.699 4.737 4.736 4.744 4.779 4.757 4.676 4.749 4.830 4.850 4.835 4.846 4.849 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.809 4.812 4.754 4.757 4.822 4.820 4.830 4.830 4.737 4.737 4.830 4.769 4.565 4.631 4.701 4.738 4.714 4.702 4.700 4.705 4.719 4.724 4.794 4.785 4.724 4.840 4.848 4.861 4.833 4.851 4.848 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.816 4.805 4.732 4.698 4.713 4.821 4.819 4.766 4.788 4.632 4.742 4.770 4.631 4.587 4.569 4.709 4.628 4.690 4.689 4.696 4.696 4.692 4.716 4.790 4.761 4.801 4.904 4.868 4.857 4.835 4.846 4.842 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.809 4.710 4.671 4.685 4.731 4.755 4.727 4.734 4.635 4.651 4.709 4.687 4.608 4.630 4.592 4.575 4.601 4.653 4.666 4.684 4.691 4.699 4.720 4.784 4.768 4.830 4.928 4.870 4.852 4.832 4.841 4.836 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.758 4.703 4.676 4.655 4.690 4.736 4.697 4.667 4.650 4.638 4.697 4.661 4.659 4.647 4.621 4.583 4.558 4.572 4.616 4.660 4.672 4.672 4.699 4.739 4.744 4.785 4.877 4.931 4.871 4.844 4.831 4.836 4.839 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.786 4.712 4.679 4.653 4.644 4.697 4.698 4.650 4.676 4.658 4.660 4.663 4.666 4.662 4.633 4.595 4.560 4.539 4.566 4.606 4.641 4.650 4.656 4.666 4.724 4.721 4.778 4.883 4.878 4.860 4.834 4.831 4.837 4.840 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.772 4.801 4.800 4.830 4.830 4.830 4.830 4.763 4.742 4.709 4.686 4.654 4.666 4.682 4.640 4.661 4.669 4.667 4.662 4.669 4.673 4.643 4.597 4.563 4.545 4.537 4.548 4.588 4.617 4.635 4.665 4.694 4.725 4.737 4.796 4.876 4.894 4.849 4.831 4.830 4.839 4.843 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.734 4.696 4.743 4.797 4.830 4.830 4.830 4.820 4.729 4.717 4.714 4.691 4.678 4.690 4.656 4.652 4.647 4.655 4.659 4.662 4.662 4.641 4.604 4.574 4.555 4.539 4.526 4.539 4.581 4.617 4.644 4.684 4.723 4.745 4.739 4.817 4.870 4.884 4.850 4.837 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.719 4.715 4.701 4.805 4.830 4.830 4.830 4.671 4.684 4.710 4.695 4.672 4.717 4.698 4.692 4.650 4.637 4.639 4.645 4.659 4.642 4.600 4.574 4.553 4.542 4.532 4.511 4.543 4.598 4.638 4.668 4.704 4.728 4.730 4.781 4.823 4.874 4.879 4.851 4.836 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.755 4.732 4.752 4.830 4.830 4.737 4.646 4.646 4.679 4.686 4.652 4.691 4.744 4.756 4.736 4.663 4.607 4.624 4.644 4.633 4.592 4.553 4.530 4.526 4.545 4.537 4.536 4.592 4.638 4.660 4.706 4.755 4.763 4.765 4.786 4.829 4.864 4.870 4.856 4.851 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.748 4.656 4.635 4.643 4.673 4.656 4.643 4.722 4.780 4.812 4.752 4.641 4.580 4.637 4.649 4.595 4.567 4.521 4.494 4.518 4.573 4.591 4.612 4.642 4.646 4.681 4.754 4.791 4.781 4.754 4.755 4.806 4.867 4.864 4.844 4.840 4.826 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.799 4.690 4.645 4.649 4.665 4.681 4.641 4.663 4.754 4.822 4.781 4.723 4.640 4.625 4.675 4.623 4.595 4.582 4.534 4.486 4.503 4.594 4.638 4.652 4.646 4.664 4.729 4.781 4.773 4.730 4.708 4.755 4.839 4.862 4.838 4.809 4.788 4.786 4.815 4.805 4.789 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.743 4.674 4.671 4.691 4.702 4.675 4.659 4.713 4.814 4.790 4.728 4.678 4.653 4.689 4.622 4.601 4.616 4.630 4.568 4.491 4.516 4.619 4.684 4.691 4.704 4.754 4.793 4.735 4.665 4.702 4.796 4.818 4.823 4.830 4.806 4.755 4.720 4.786 4.805 4.795 4.810 4.805 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.813 4.754 4.691 4.704 4.712 4.710 4.752 4.844 4.822 4.735 4.691 4.676 4.749 4.655 4.564 4.631 4.698 4.686 4.580 4.600 4.678 4.789 4.736 4.645 4.769 4.896 4.763 4.642 4.708 4.824 4.784 4.757 4.811 4.814 4.726 4.650 4.754 4.808 4.808 4.818 4.806 4.793 4.795 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.772 4.691 4.684 4.716 4.746 4.827 4.873 4.853 4.785 4.776 4.724 4.758 4.672 4.628 4.671 4.798 4.810 4.671 4.662 4.798 4.844 4.726 4.647 4.684 4.866 4.785 4.713 4.736 4.751 4.703 4.743 4.798 4.775 4.672 4.596 4.726 4.813 4.829 4.838 4.778 4.784 4.802 4.813 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.812 4.722 4.673 4.700 4.772 4.836 4.883 4.791 4.769 4.932 4.939 4.857 4.662 4.576 4.693 4.845 4.923 4.925 4.974 4.957 4.863 4.862 4.825 4.764 4.824 4.686 4.710 4.698 4.722 4.683 4.738 4.812 4.764 4.634 4.524 4.683 4.850 4.856 4.870 4.832 4.824 4.827 4.802 4.816 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.677 4.694 4.792 4.840 4.790 4.707 4.680 4.875 4.963 4.772 4.521 4.515 4.596 4.714 4.875 4.900 4.790 4.766 4.760 4.753 4.758 4.660 4.656 4.581 4.677 4.748 4.820 4.725 4.699 4.755 4.852 4.777 4.560 4.613 4.746 4.776 4.876 4.877 4.848 4.856 4.833 4.792 4.805 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.768 4.836 4.871 4.725 4.651 4.660 4.777 4.703 4.536 4.474 4.621 4.703 4.747 4.821 4.781 4.682 4.659 4.691 4.679 4.678 4.659 4.609 4.511 4.569 4.638 4.683 4.654 4.646 4.721 4.792 4.789 4.649 4.599 4.623 4.632 4.714 4.823 4.861 4.887 4.827 4.768 4.751 4.761 4.825 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.832 4.882 4.908 4.785 4.708 4.762 4.823 4.744 4.575 4.534 4.618 4.665 4.648 4.635 4.659 4.676 4.678 4.639 4.609 4.638 4.644 4.651 4.606 4.578 4.588 4.584 4.554 4.563 4.620 4.632 4.662 4.610 4.584 4.582 4.547 4.525 4.695 4.821 4.865 4.799 4.750 4.740 4.762 4.800 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.922 4.911 4.777 4.743 4.816 4.779 4.774 4.723 4.689 4.615 4.627 4.690 4.673 4.651 4.666 4.628 4.565 4.563 4.606 4.621 4.628 4.619 4.609 4.600 4.571 4.565 4.561 4.600 4.624 4.660 4.606 4.563 4.593 4.562 4.486 4.583 4.769 4.806 4.800 4.765 4.743 4.766 4.801 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.846 4.835 4.794 4.825 4.869 4.820 4.850 4.835 4.760 4.668 4.607 4.654 4.702 4.663 4.634 4.602 4.580 4.595 4.636 4.659 4.657 4.648 4.644 4.646 4.633 4.653 4.669 4.687 4.692 4.694 4.646 4.601 4.623 4.603 4.573 4.621 4.762 4.829 4.835 4.804 4.769 4.779 4.798 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.848 4.898 4.855 4.814 4.808 4.785 4.729 4.656 4.717 4.660 4.635 4.609 4.585 4.581 4.601 4.649 4.682 4.692 4.686 4.684 4.683 4.686 4.702 4.733 4.779 4.786 4.765 4.726 4.729 4.741 4.671 4.632 4.691 4.816 4.853 4.841 4.819 4.807 4.807 4.801 4.803 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.799 4.775 4.790 4.812 4.806 4.830 4.784 4.647 4.637 4.616 4.613 4.624 4.637 4.659 4.669 4.669 4.678 4.682 4.684 4.698 4.710 4.740 4.830 4.830 4.830 4.769 4.797 4.815 4.749 4.660 4.661 4.727 4.782 4.807 4.825 4.832 4.841 4.828 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.791 4.830 4.833 4.836 4.824 4.747 4.671 4.704 4.619 4.680 4.651 4.664 4.674 4.684 4.718 4.731 4.773 4.768 4.718 4.722 4.744 4.761 4.830 4.830 4.830 4.830 4.830 4.807 4.776 4.653 4.652 4.684 4.729 4.793 4.837 4.854 4.837 4.828 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.846 4.840 4.830 4.821 4.676 4.711 4.735 4.714 4.714 4.703 4.719 4.768 4.789 4.808 4.824 4.825 4.827 4.826 4.827 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.789 4.681 4.649 4.678 4.733 4.808 4.852 4.842 4.832 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.822 4.798 4.812 4.811 4.807 4.801 4.824 4.830 4.873 4.855 4.854 4.860 4.855 4.851 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.791 4.685 4.706 4.759 4.802 4.834 4.832 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.839 4.818 4.816 4.813 4.815 4.810 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.812 4.812 4.807 4.783 4.817 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.831 4.832 4.827 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 4.830 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.860 4.852 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.865 4.879 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.893 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.869 4.868 4.892 4.892 4.892 4.892 4.892 4.812 4.728 4.843 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.896 4.892 4.892 4.892 4.892 4.885 4.768 4.715 4.853 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 + 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 4.892 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