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risk readme
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‎configs/oq.yml‎

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name: oq
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channels:
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- conda-forge
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- defaults
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dependencies:
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- _libgcc_mutex=0.1=conda_forge
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- _openmp_mutex=4.5=2_gnu
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- asttokens=2.4.1=pyhd8ed1ab_0
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- bzip2=1.0.8=h4bc722e_7
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- ca-certificates=2024.8.30=hbcca054_0
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- comm=0.2.2=pyhd8ed1ab_0
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- debugpy=1.8.7=py311hfdbb021_0
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- decorator=5.1.1=pyhd8ed1ab_0
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- exceptiongroup=1.2.2=pyhd8ed1ab_0
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- executing=2.1.0=pyhd8ed1ab_0
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- ipykernel=6.29.5=pyh3099207_0
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- ipython=8.28.0=pyh707e725_0
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- jedi=0.19.1=pyhd8ed1ab_0
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- jupyter_client=8.6.3=pyhd8ed1ab_0
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- jupyter_core=5.7.2=pyh31011fe_1
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- keyutils=1.6.1=h166bdaf_0
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- krb5=1.21.3=h659f571_0
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- ld_impl_linux-64=2.43=h712a8e2_2
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- libedit=3.1.20191231=he28a2e2_2
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- libexpat=2.6.3=h5888daf_0
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- libffi=3.4.2=h7f98852_5
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- libgcc=14.2.0=h77fa898_1
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- libgcc-ng=14.2.0=h69a702a_1
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- libgomp=14.2.0=h77fa898_1
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- libnsl=2.0.1=hd590300_0
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- libsodium=1.0.20=h4ab18f5_0
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- libsqlite=3.47.0=hadc24fc_0
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- libstdcxx=14.2.0=hc0a3c3a_1
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- libstdcxx-ng=14.2.0=h4852527_1
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- libuuid=2.38.1=h0b41bf4_0
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- libxcrypt=4.4.36=hd590300_1
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- libzlib=1.3.1=hb9d3cd8_2
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- matplotlib-inline=0.1.7=pyhd8ed1ab_0
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- ncurses=6.5=he02047a_1
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- nest-asyncio=1.6.0=pyhd8ed1ab_0
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- openssl=3.3.2=hb9d3cd8_0
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- parso=0.8.4=pyhd8ed1ab_0
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- pexpect=4.9.0=pyhd8ed1ab_0
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- pickleshare=0.7.5=py_1003
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- pip=24.2=pyh8b19718_1
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- platformdirs=4.3.6=pyhd8ed1ab_0
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- prompt-toolkit=3.0.48=pyha770c72_0
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- ptyprocess=0.7.0=pyhd3deb0d_0
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- pure_eval=0.2.3=pyhd8ed1ab_0
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- pygments=2.18.0=pyhd8ed1ab_0
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- python=3.11.10=hc5c86c4_3_cpython
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- python_abi=3.11=5_cp311
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- readline=8.2=h8228510_1
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- six=1.16.0=pyh6c4a22f_0
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- stack_data=0.6.2=pyhd8ed1ab_0
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- tk=8.6.13=noxft_h4845f30_101
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- tornado=6.4.1=py311h9ecbd09_1
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- traitlets=5.14.3=pyhd8ed1ab_0
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- typing_extensions=4.12.2=pyha770c72_0
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- wcwidth=0.2.13=pyhd8ed1ab_0
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- wheel=0.44.0=pyhd8ed1ab_0
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- xz=5.2.6=h166bdaf_0
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- zeromq=4.3.5=h3b0a872_6
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- pip:
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- alpha-shapes==1.1.0
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- asgiref==3.7.2
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- attrs==23.1.0
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- certifi==2023.11.17
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- chardet==5.2.0
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- charset-normalizer==3.3.2
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- click==8.1.7
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- click-plugins==1.1.1
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- cligj==0.7.2
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- coloredlogs==15.0.1
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- contourpy==1.2.0
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- cycler==0.12.1
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- django==4.2.10
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- django-appconf==1.0.6
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- django-cookie-consent==0.6.0
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- django-cors-headers==4.3.1
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- django-pam==2.1.2
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- docutils==0.20.1
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- fiona==1.9.5
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- flake8==6.1.0
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- flatbuffers==23.5.26
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- fonttools==4.39.0
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- gdal==3.7.3
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- h5py==3.10.0
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- humanfriendly==10.0
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- idna==3.6
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- importlib-metadata==7.0.0
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- iniconfig==2.0.0
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- kiwisolver==1.4.5
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- llvmlite==0.41.1
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- matplotlib==3.8.2
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- mccabe==0.7.0
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- mpmath==1.3.0
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- munch==4.0.0
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- networkx==3.2.1
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- numba==0.58.1
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- numpy==1.26.2
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- onnxruntime==1.16.3
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- openquake-engine==3.22.0
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- packaging==23.2
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- pandas==2.0.3
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- pbr==6.0.0
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- pillow==10.1.0
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- pluggy==1.5.0
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- protobuf==4.25.1
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- psutil==5.9.6
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- pycodestyle==2.11.1
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- pyflakes==3.1.0
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- pyparsing==3.1.1
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- pyproj==3.6.1
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- pyreadline3==3.4.1
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- pyshp==2.3.1
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- pytest==8.3.3
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- python-dateutil==2.8.2
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- python-pam==2.0.2
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- pytz==2023.3
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- pyzmq==26.0.3
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- requests==2.31.0
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- scipy==1.11.4
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- setproctitle==1.3.3
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- setuptools==69.0.2
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- shapely==2.0.2
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- sqlparse==0.4.4
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- sympy==1.12
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- toml==0.10.2
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- tzdata==2023.3
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- urllib3==2.1.0
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- zipp==3.17.0
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prefix: /home/naveen.raguramalinga/opt/miniconda3/envs/oq

‎risk/README.md‎

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# Tsunami Risk Calculation using OpenQuake
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This repository contains the implementation of tsunami loss calculation using OpenQuake. It is used to perform a benchmarking exercise comparing results from input hazard data generated by HPC-based simulations and different ML emulators trained with varying data sizes(number of events).
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## Folder Structure
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The repository is organized as follows:
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```
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├── exposure
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│ ├── Admin_units
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│ ├── CT_Building_Footprint.gpkg
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│ └── exposure_prep.ipynb
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├── hazard
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│ ├── log
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│ └── hazard_prep.ipynb
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├── loss
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│ ├── log
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│ └── hazard_prep.ipynb
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├── plots
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│ ├── configs
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│ ├── hazard_compare
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│ └── risk_compare
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├── results
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│ ├── configs
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│ ├── log
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│ └── risk_calc
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├── temp
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├── vulnerability
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```
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- `exposure/`: Contains input exposure data, scripts for the preparatin of the exposure input to OQ.
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- `vulnerability/`: Script and outputs for vulnerability model.
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- `hazard/`: Includes scripts for hazard file preparation, needs the input files - event_id, dask files with hazard info, site info with the location of hazard.
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- `loss/`: Includes files,scripts for OQ risk calculcations - job.ini, hazard as hdf5, xml and csv files for exposure and vul inputs.
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- `results/`: Stores the output results from the risk calculations extracted using ipynb notebooks.
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- `plots/`: Jupyter notebooks for analysis and visualization of the results.
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## Command to run the OQ risk calculation
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```sh
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conda activate oq
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oq engine --run job_hdf5_simulation.ini
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```
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## Requirements
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- OpenQuake with some edits to the source code for ebr analysis - see repo: https://github.com/naveenragur/OQ-Tsunami.git
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- Python 3.11
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- Jupyter Notebook or ipython
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## Installation
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To install the required dependencies, check yml file:
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- ML4SicilyTsunami/configs/oq.yml
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## Contributing
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Contributions are welcome! Please submit a pull request or open an issue to discuss any changes.
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