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H3-Turbo (FluidGeo) - Third-Party Open Source Notices
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This software, H3-Turbo, is a proprietary product of FluidGeo. 
H3-Turbo incorporates and leverages several open-source libraries. 
FluidGeo acknowledges the following authors and contributors 
and provides the required license notices below.

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1. H3 Discrete Global Grid System
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Source: https://github.com/uber/h3
License: Apache License, Version 2.0

Copyright (c) 2016-2022 Uber Technologies, Inc.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.

*TRADEMARK NOTICE*: "H3" is a registered trademark of Uber Technologies, Inc. 
H3-Turbo is an independent library and is not affiliated with or 
endorsed by Uber Technologies, Inc.

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2. NumPy
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Source: https://github.com/numpy/numpy
License: BSD 3-Clause "New" or "Revised" License

Copyright (c) 2005-2023, NumPy Developers.
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

    * Redistributions of source code must retain the above copyright
      notice, this list of conditions and the following disclaimer.
    * Redistributions in binary form must reproduce the above copyright
      notice, this list of conditions and the following disclaimer in the
      documentation and/or other materials provided with the distribution.
    * Neither the name of the NumPy Developers nor the names of any
      contributors may be used to endorse or promote products derived
      from this software without specific prior written permission.

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3. AdaptiveCpp (formerly hipSYCL)
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Source: https://github.com/AdaptiveCpp/AdaptiveCpp
License: BSD 2-Clause "Simplified" License

Copyright (c) 2018-2024, AdaptiveCpp contributors. 
All rights reserved.

Redistribution and use in source and binary forms, with or without
modification, are permitted provided that the following conditions are met:

1. Redistributions of source code must retain the above copyright notice, this
   list of conditions and the following disclaimer.
2. Redistributions in binary form must reproduce the above copyright notice,
   this list of conditions and the following disclaimer in the documentation
   and/or other materials provided with the distribution.

ACADEMIC CITATION REQUIREMENT:
AdaptiveCpp is a research project. If you use h3-turbo for academic research 
and publish performance results utilizing the SYCL GPU backend, the AdaptiveCpp 
authors request citation of their core compiler research:

Aksel Alpay and Vincent Heuveline. 2023. "One Pass to Bind Them: The First 
Single-Pass SYCL Compiler with Unified Code Representation Across Backends." 
In Proceedings of the 2023 International Workshop on OpenCL (IWOCL '23). 
DOI: https://doi.org/10.1145/3585341.3585351

Aksel Alpay and Vincent Heuveline. 2025. "Adaptivity in AdaptiveCpp: Optimizing 
Performance by Leveraging Runtime Information During JIT-Compilation." 
In Proceedings of the 13th International Workshop on OpenCL and SYCL (IWOCL '25). 
DOI: https://doi.org/10.1145/3731125.3731127

THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
DISCLAIMED.