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PicoCentauriLuthaf
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Remove leftover lab-cosmo branding
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CONTRIBUTING.rst

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@@ -191,7 +191,7 @@ browser
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coverage html
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firefox htmlcov/index.html
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.. _codecov: https://codecov.io/gh/lab-cosmo/metatensor
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.. _codecov: https://codecov.io/gh/metatensor/featomic
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Writing your own calculator
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---------------------------

docs/src/explanations/concepts.rst

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@@ -67,7 +67,7 @@ After using a calculator on one or multiple systems, users will get the
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numerical representation of their atomic systems in a ``descriptor`` object.
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Featomic uses `metatensor`_ ``TensorMap`` type when returning descriptors.
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.. _metatensor: https://lab-cosmo.github.io/metatensor/
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.. _metatensor: https://docs.metatensor.org
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A ``TensorMap`` can be seen as a dictionary mapping some keys to a set of data
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blocks. Each block contains both data (and gradients) arrays — i.e.

docs/src/get-started/featomic.rst

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@@ -21,4 +21,4 @@ representation but supports several:
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.. _DScribe: https://singroup.github.io/dscribe/
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.. _QUIP: https://www.libatoms.org
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.. _metatensor: https://lab-cosmo.github.io/metatensor/
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.. _metatensor: https://docs.metatensor.org

docs/src/get-started/installation.rst

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@@ -121,7 +121,7 @@ For usage from C++
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.. code-block:: bash
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git clone https://github.com/lab-cosmo/featomic
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git clone https://github.com/metatensor/featomic
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cd featomic/featomic-torch
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mkdir build && cd build
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cmake ..
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| | install metatensor-torch? | |
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+----------------------------------------+-----------------------------------------------+----------------+
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.. _C++ interface of metatensor: https://lab-cosmo.github.io/metatensor/latest/get-started/installation.html#installing-the-c-and-c-library
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.. _TorchScript interface of metatensor: https://lab-cosmo.github.io/metatensor/latest/get-started/installation.html#for-usage-from-c
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.. _C++ interface of metatensor: https://docs.metatensor.org/latest/get-started/installation.html#installing-the-c-and-c-library
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.. _TorchScript interface of metatensor: https://docs.metatensor.org/latest/get-started/installation.html#for-usage-from-c

featomic-torch/CMakeLists.txt

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if (FEATOMIC_TORCH_FETCH_METATENSOR_TORCH)
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message(STATUS "Fetching metatensor-torch from github")
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set(URL_ROOT "https://github.com/lab-cosmo/metatensor/releases/download")
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set(URL_ROOT "https://github.com/metatensor/metatensor/releases/download")
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include(FetchContent)
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FetchContent_Declare(
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metatensor_torch

featomic/CMakeLists.txt

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message(STATUS "Fetching metatensor-core from github")
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include(FetchContent)
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set(URL_ROOT "https://github.com/lab-cosmo/metatensor/releases/download")
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set(URL_ROOT "https://github.com/metatensor/metatensor/releases/download")
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FetchContent_Declare(
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metatensor
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URL ${URL_ROOT}/metatensor-core-v${METATENSOR_FETCH_VERSION}/metatensor-core-cxx-${METATENSOR_FETCH_VERSION}.tar.gz

python/featomic/examples/first-calculation.py

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# The descriptor format is a :class:`metatensor.TensorMap` object. Metatensor is
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# like numpy for storing representations of atomistic ML data. Extensive details
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# on the metatensor are covered in the `corresponding documentation
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# <https://lab-cosmo.github.io/metatensor/>`_.
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# <https://docs.metatensor.org>`_.
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#
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# We will now have a look at how the data is stored inside
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# :class:`metatensor.TensorMap` objects.

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