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Merge pull request #24 from supathdhitalGEO/main
make it compatible with the latest numpy version
2 parents bc45064 + 95ea82d commit 150392b

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README.md

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| <a href="https://sdml.ua.edu"><img src="https://sdml.ua.edu/wp-content/uploads/2023/01/SDML_logo_Sq_grey.png" alt="SDML Logo" width="400"></a> | This package presents a streamlined, user-friendly and cloud-enabled pipeline to generate Operational flood inundation map using the NOAA Office of Water Prediction (OWP) Height Above Nearest Drainage (HAND) Flood Inundation Mapping (FIM) framework using the National Water Model retrospective and forecasted streamflow. It is developed under the Surface Dynamics Modeling Lab (SDML) as part of a project funded by the Cooperative Institute for Research to Operations in Hydrology (CIROH). |
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| <a href="https://sdml.ua.edu"><img src="https://sdml.ua.edu/wp-content/uploads/2023/01/SDML_logo_Sq_low.png" alt="SDML Logo" width="400"></a> | This package presents a streamlined, user-friendly and cloud-enabled pipeline to generate Operational flood inundation map using the NOAA Office of Water Prediction (OWP) Height Above Nearest Drainage (HAND) Flood Inundation Mapping (FIM) framework using the National Water Model retrospective and forecasted streamflow. It is developed under the Surface Dynamics Modeling Lab (SDML) as part of a project funded by the Cooperative Institute for Research to Operations in Hydrology (CIROH). |
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### **Background**

dist/.gitignore

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*
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dist/fimserve-0.1.85.tar.gz

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dist/fimserve-0.1.86.tar.gz

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pyproject.toml

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[project]
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name = "fimserve"
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version = "0.1.85"
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version = "0.1.86"
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description = "Framework which is developed with the purpose of quickly generating Flood Inundation Maps (FIM) for emergency response and risk assessment. It is developed under Surface Dynamics Modeling Lab (SDML)."
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authors = [{ name = "Supath Dhital", email = "sdhital@crimson.ua.edu" }]
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maintainers = [{ name = "Supath Dhital", email = "sdhital@crimson.ua.edu" }]
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requires-python = ">=3.10,<3.13"
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dependencies = [
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"pytest>=8.3,<8.4",
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"teehr==0.4.1",
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"teehr==0.5.0",
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"geemap>=0.35.1",
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"pyarrow>=15.0.2",
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"numpy>=2.0.0",
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"netcdf4>=1.7.2",
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"fiona>=1.10.1",
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"utils>=1.0.2",
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"netcdf4==1.6.5",
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"matplotlib>=3.9.2",
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"awscli==1.34.23",
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"botocore==1.35.23",
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"tabulate>=0.9.0",
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"nodejs-bin>=18.4.0a4",
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"ipykernel>=6.17.1",
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"numpy==1.26.4",
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"beautifulsoup4>=4.12.3",
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"python-dotenv>=1.0.1",
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"jupyter>=1.1.1",

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