From e33692a17b737e7e83e568303e8dd1a298645378 Mon Sep 17 00:00:00 2001
From: tomsail <saillour.thomas@gmail.com>
Date: Mon, 1 Jun 2026 08:49:14 +0200
Subject: [PATCH 1/3] chore: replace in-house Serafin class with python-serafin
 dependency

---
 .pre-commit-config.yaml                    |    1 +
 poetry.lock                                |  641 +++++-----
 pyproject.toml                             |    1 +
 requirements/requirements-dev.txt          |  562 +++++----
 requirements/requirements.txt              |  149 +--
 xarray_selafin/Serafin.py                  | 1326 --------------------
 xarray_selafin/data/Serafin_var2D.csv      |   62 -
 xarray_selafin/data/Serafin_var3D.csv      |   26 -
 xarray_selafin/variable/__init__.py        |    0
 xarray_selafin/variable/variables_2d.py    |  371 ------
 xarray_selafin/variable/variables_3d.py    |   73 --
 xarray_selafin/variable/variables_utils.py |  172 ---
 xarray_selafin/xarray_backend.py           |   33 +-
 13 files changed, 735 insertions(+), 2682 deletions(-)
 delete mode 100644 xarray_selafin/Serafin.py
 delete mode 100644 xarray_selafin/data/Serafin_var2D.csv
 delete mode 100644 xarray_selafin/data/Serafin_var3D.csv
 delete mode 100644 xarray_selafin/variable/__init__.py
 delete mode 100755 xarray_selafin/variable/variables_2d.py
 delete mode 100755 xarray_selafin/variable/variables_3d.py
 delete mode 100755 xarray_selafin/variable/variables_utils.py

diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 221990c..5ef78c3 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -44,6 +44,7 @@ repos:
     rev: "23.11.0"
     hooks:
       - id: "black"
+        args: [--line-length, "127"]
 
   - repo: "https://github.com/astral-sh/ruff-pre-commit"
     # Ruff version.
diff --git a/poetry.lock b/poetry.lock
index 0501c13..5472f62 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -80,23 +80,6 @@ charset-normalizer = ["charset-normalizer"]
 html5lib = ["html5lib"]
 lxml = ["lxml"]
 
-[[package]]
-name = "bleach"
-version = "6.3.0"
-description = "An easy safelist-based HTML-sanitizing tool."
-optional = false
-python-versions = ">=3.10"
-files = [
-    {file = "bleach-6.3.0-py3-none-any.whl", hash = "sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6"},
-    {file = "bleach-6.3.0.tar.gz", hash = "sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22"},
-]
-
-[package.dependencies]
-webencodings = "*"
-
-[package.extras]
-css = ["tinycss2 (>=1.1.0,<1.5)"]
-
 [[package]]
 name = "bokeh"
 version = "3.9.0"
@@ -147,13 +130,13 @@ ujson = ["ujson (>=5.10.0)"]
 
 [[package]]
 name = "certifi"
-version = "2026.4.22"
+version = "2026.5.20"
 description = "Python package for providing Mozilla's CA Bundle."
 optional = false
 python-versions = ">=3.7"
 files = [
-    {file = "certifi-2026.4.22-py3-none-any.whl", hash = "sha256:3cb2210c8f88ba2318d29b0388d1023c8492ff72ecdde4ebdaddbb13a31b1c4a"},
-    {file = "certifi-2026.4.22.tar.gz", hash = "sha256:8d455352a37b71bf76a79caa83a3d6c25afee4a385d632127b6afb3963f1c580"},
+    {file = "certifi-2026.5.20-py3-none-any.whl", hash = "sha256:3c52e209ba0a4ad7aebe60436a4ab349c39e1e602e8c134221e546902ad25897"},
+    {file = "certifi-2026.5.20.tar.gz", hash = "sha256:69dea482ab64caa7b9f6aba1c6bf48bb6a5448d1c0f1b17ab42ad8c763a5344d"},
 ]
 
 [[package]]
@@ -339,13 +322,13 @@ files = [
 
 [[package]]
 name = "click"
-version = "8.4.0"
+version = "8.4.1"
 description = "Composable command line interface toolkit"
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "click-8.4.0-py3-none-any.whl", hash = "sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81"},
-    {file = "click-8.4.0.tar.gz", hash = "sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973"},
+    {file = "click-8.4.1-py3-none-any.whl", hash = "sha256:482be17c6991b8c19c5429a1e995d9b0efdbb63172824c41f99965dc0ade8ec2"},
+    {file = "click-8.4.1.tar.gz", hash = "sha256:918b5633eddf6b41c32d4f454bf0de810065c74e3f7dbf8ee5452f8be88d3e96"},
 ]
 
 [package.dependencies]
@@ -826,13 +809,13 @@ tests-nb = ["nbval", "pytest-xdist"]
 
 [[package]]
 name = "idna"
-version = "3.15"
+version = "3.17"
 description = "Internationalized Domain Names in Applications (IDNA)"
 optional = false
-python-versions = ">=3.8"
+python-versions = ">=3.9"
 files = [
-    {file = "idna-3.15-py3-none-any.whl", hash = "sha256:048adeaf8c2d788c40fee287673ccaa74c24ffd8dcf09ffa555a2fbb59f10ac8"},
-    {file = "idna-3.15.tar.gz", hash = "sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc"},
+    {file = "idna-3.17-py3-none-any.whl", hash = "sha256:466e48829084efe2548012b855df21540b96f2e20e51bd124c851536556a592c"},
+    {file = "idna-3.17.tar.gz", hash = "sha256:5eb0cb53bc467c12eadcf6de83163ad8527cec9416f44b9b61b19caedad2b87f"},
 ]
 
 [package.extras]
@@ -874,13 +857,13 @@ files = [
 
 [[package]]
 name = "ipython"
-version = "9.13.0"
+version = "9.14.0"
 description = "IPython: Productive Interactive Computing"
 optional = false
 python-versions = ">=3.11"
 files = [
-    {file = "ipython-9.13.0-py3-none-any.whl", hash = "sha256:57f9d4639e20818d328d287c7b549af3d05f12486ea8f2e7f73e52a36ec4d201"},
-    {file = "ipython-9.13.0.tar.gz", hash = "sha256:7e834b6afc99f020e3f05966ced34792f40267d64cb1ea9043886dab0dde5967"},
+    {file = "ipython-9.14.0-py3-none-any.whl", hash = "sha256:8fd984a3372c14b12790b084ba6b5cff5678c0cb063244a0034f06a51f20d6c2"},
+    {file = "ipython-9.14.0.tar.gz", hash = "sha256:6f27ff0f1d9ea050e0551f71568bc4b34d8aba579e8f111c5b4175f44ac6b4aa"},
 ]
 
 [package.dependencies]
@@ -891,7 +874,7 @@ jedi = ">=0.18.2"
 matplotlib-inline = ">=0.1.6"
 pexpect = {version = ">4.6", markers = "sys_platform != \"win32\" and sys_platform != \"emscripten\""}
 prompt_toolkit = ">=3.0.41,<3.1.0"
-psutil = ">=7"
+psutil = {version = ">=7", markers = "sys_platform != \"emscripten\""}
 pygments = ">=2.14.0"
 stack_data = ">=0.6.0"
 traitlets = ">=5.13.0"
@@ -1050,145 +1033,145 @@ files = [
 
 [[package]]
 name = "lxml"
-version = "6.1.0"
+version = "6.1.1"
 description = "Powerful and Pythonic XML processing library combining libxml2/libxslt with the ElementTree API."
 optional = false
 python-versions = ">=3.8"
 files = [
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@@ -1545,6 +1528,42 @@ numpy = [
 parallel = ["mpi4py"]
 tests = ["Cython", "packaging", "pytest", "typing-extensions (>=4.15.0)"]
 
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 version = "0.16.5"
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+    {file = "numpy-2.4.6.tar.gz", hash = "sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda"},
 ]
 
 [[package]]
@@ -1789,25 +1808,26 @@ xml = ["lxml (>=5.3.0)"]
 
 [[package]]
 name = "panel"
-version = "1.8.10"
+version = "1.9.2"
 description = "The powerful data exploration & web app framework for Python."
 optional = false
 python-versions = ">=3.10"
 files = [
-    {file = "panel-1.8.10-py3-none-any.whl", hash = "sha256:b1de9304e729b87fdeee59a5be5b0d3ce7786dc301626cb728f69fbc4c136693"},
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+    {file = "panel-1.9.2-py3-none-any.whl", hash = "sha256:7099ad4334c305d7e2654d46945d3117e63379f15d0b8635e67f3f825dbccd9b"},
+    {file = "panel-1.9.2.tar.gz", hash = "sha256:ede8daa7a2515a2f3b49f19ed9aff75fcef48d6d8c3b9df3a4ebf26a551a0407"},
 ]
 
 [package.dependencies]
-bleach = "*"
 bokeh = ">=3.7.0,<3.10.0"
 linkify-it-py = "*"
 markdown = "*"
 markdown-it-py = "*"
 mdit-py-plugins = "*"
 narwhals = ">=2"
+nh3 = "*"
 packaging = "*"
 pandas = ">=1.2"
+panel-material-ui = ">=0.10.0"
 param = ">=2.1.0,<3.0"
 pyviz-comms = ">=2.0.0"
 requests = "*"
@@ -1817,19 +1837,39 @@ typing-extensions = "*"
 [package.extras]
 dev = ["watchfiles"]
 fastapi = ["bokeh-fastapi (>=0.1.5,<0.2.0)", "fastapi[standard]"]
-mypy = ["mypy", "pandas-stubs", "types-bleach", "types-croniter", "types-markdown", "types-psutil", "types-requests", "types-tqdm", "typing-extensions"]
+mypy = ["mypy", "pandas-stubs", "types-croniter", "types-markdown", "types-psutil", "types-requests", "types-tqdm", "typing-extensions"]
 recommended = ["holoviews (>=1.18.0)", "jupyterlab", "matplotlib", "pillow", "plotly"]
 tests = ["psutil", "pytest", "pytest-asyncio", "pytest-rerunfailures (<16.0)", "pytest-xdist"]
 
+[[package]]
+name = "panel-material-ui"
+version = "0.11.2"
+description = "An extension to bring MaterialUI components to Panel."
+optional = false
+python-versions = ">=3.10"
+files = [
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+]
+
+[package.dependencies]
+bokeh = ">=3.8.0"
+packaging = "*"
+panel = ">=1.8.0"
+
+[package.extras]
+dev = ["plotly", "pytest", "pytest-asyncio", "pytest-rerunfailures (<16)", "pytest-xdist", "watchfiles"]
+mypy = ["mypy", "types-requests", "typing-extensions"]
+
 [[package]]
 name = "param"
-version = "2.3.3"
+version = "2.4.0"
 description = "Declarative parameters for robust Python classes and a rich API for reactive programming"
 optional = false
 python-versions = ">=3.10"
 files = [
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+    {file = "param-2.4.0-py3-none-any.whl", hash = "sha256:770ecebb1bb8ffaeb8722a00976ba5092af287344471c513ba51597b4257339b"},
+    {file = "param-2.4.0.tar.gz", hash = "sha256:d2c09da9fe80084cb5a8732761f26786317133995344df03db5f09d63ac35233"},
 ]
 
 [package.extras]
@@ -2014,13 +2054,13 @@ xmp = ["defusedxml"]
 
 [[package]]
 name = "platformdirs"
-version = "4.9.6"
+version = "4.10.0"
 description = "A small Python package for determining appropriate platform-specific dirs, e.g. a `user data dir`."
 optional = false
 python-versions = ">=3.10"
 files = [
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 ]
 
 [[package]]
@@ -2226,6 +2266,24 @@ files = [
 [package.dependencies]
 six = ">=1.5"
 
+[[package]]
+name = "python-serafin"
+version = "0.1.0"
+description = "Read and write Serafin (TELEMAC) binary files"
+optional = false
+python-versions = ">=3.10"
+files = [
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+]
+
+[package.dependencies]
+numpy = ">=1.24"
+
+[package.extras]
+dev = ["pre-commit", "pytest (>=8)", "pytest-cov", "ruff"]
+docs = ["furo (>=2024.8)", "myst-parser[linkify] (>=3.0)", "sphinx (>=7.3)", "sphinx-autodoc-typehints (>=2.0)", "sphinx-copybutton (>=0.5)", "sphinx-design (>=0.6)"]
+
 [[package]]
 name = "pyviz-comms"
 version = "3.0.6"
@@ -2473,13 +2531,13 @@ files = [
 
 [[package]]
 name = "soupsieve"
-version = "2.8.3"
+version = "2.8.4"
 description = "A modern CSS selector implementation for Beautiful Soup."
 optional = false
 python-versions = ">=3.9"
 files = [
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 ]
 
 [[package]]
@@ -2570,21 +2628,21 @@ files = [
 
 [[package]]
 name = "tornado"
-version = "6.5.5"
+version = "6.5.6"
 description = "Tornado is a Python web framework and asynchronous networking library, originally developed at FriendFeed."
 optional = false
 python-versions = ">=3.9"
 files = [
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 [[package]]
@@ -2746,17 +2804,6 @@ files = [
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 ]
 
-[[package]]
-name = "webencodings"
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-description = "Character encoding aliases for legacy web content"
-optional = false
-python-versions = "*"
-files = [
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-]
-
 [[package]]
 name = "webob"
 version = "1.8.9"
@@ -2857,24 +2904,24 @@ remote = ["fsspec (>=2023.10.0)", "obstore (>=0.5.1)"]
 
 [[package]]
 name = "zensical"
-version = "0.0.42"
+version = "0.0.43"
 description = "A modern static site generator built by the creators of Material for MkDocs"
 optional = false
 python-versions = ">=3.10"
 files = [
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+    {file = "zensical-0.0.43-cp310-abi3-win32.whl", hash = "sha256:8a75ddd4bb3cd3c4a8e71d2ebae44c5611fd636c1d355c6124dd96e2f9c52838"},
+    {file = "zensical-0.0.43-cp310-abi3-win_amd64.whl", hash = "sha256:03a9d1744a6394ad66c355d6f1de04cfd92efa525b0b94bf6dbf6971c5cd2c6b"},
+    {file = "zensical-0.0.43.tar.gz", hash = "sha256:dc2d3804ff562795c1024130e0c3ce79736467930729dda314f096d0e35b98c8"},
 ]
 
 [package.dependencies]
@@ -2889,24 +2936,24 @@ tomli = ">=2.4.0"
 
 [[package]]
 name = "zipp"
-version = "3.23.1"
+version = "4.1.0"
 description = "Backport of pathlib-compatible object wrapper for zip files"
 optional = false
-python-versions = ">=3.9"
+python-versions = ">=3.10"
 files = [
-    {file = "zipp-3.23.1-py3-none-any.whl", hash = "sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc"},
-    {file = "zipp-3.23.1.tar.gz", hash = "sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110"},
+    {file = "zipp-4.1.0-py3-none-any.whl", hash = "sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f"},
+    {file = "zipp-4.1.0.tar.gz", hash = "sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602"},
 ]
 
 [package.extras]
-check = ["pytest-checkdocs (>=2.4)", "pytest-ruff (>=0.2.1)"]
+check = ["pytest-checkdocs (>=2.14)", "pytest-ruff (>=0.2.1)"]
 cover = ["pytest-cov"]
 doc = ["furo", "jaraco.packaging (>=9.3)", "jaraco.tidelift (>=1.4)", "rst.linker (>=1.9)", "sphinx (>=3.5)", "sphinx-lint"]
-enabler = ["pytest-enabler (>=2.2)"]
+enabler = ["pytest-enabler (>=3.4)"]
 test = ["big-O", "jaraco.functools", "jaraco.itertools", "jaraco.test", "more_itertools", "pytest (>=6,!=8.1.*)", "pytest-ignore-flaky"]
-type = ["pytest-mypy"]
+type = ["pytest-mypy (>=1.0.1)"]
 
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11"
-content-hash = "58605576e4bba66eec2333bdecf2c6b22b37f6074bf816d4408949e628d342b4"
+content-hash = "d380c297207ec94a3b99a59a57a29e2b99fcc15b64ec3421a0b194a6881b2bef"
diff --git a/pyproject.toml b/pyproject.toml
index 4536dcd..12c77c0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,6 +14,7 @@ include = [
 python = ">=3.11"
 numpy = "*"
 xarray = "*"
+python-serafin = "*"
 
 [tool.poetry.plugins."xarray.backends"]
 selafin = "xarray_selafin.xarray_backend:SelafinBackendEntrypoint"
diff --git a/requirements/requirements-dev.txt b/requirements/requirements-dev.txt
index cc76864..e3e671e 100644
--- a/requirements/requirements-dev.txt
+++ b/requirements/requirements-dev.txt
@@ -17,18 +17,15 @@ backrefs==7.0 ; python_version >= "3.11" \
 beautifulsoup4==4.14.3 ; python_version >= "3.11" \
     --hash=sha256:0918bfe44902e6ad8d57732ba310582e98da931428d231a5ecb9e7c703a735bb \
     --hash=sha256:6292b1c5186d356bba669ef9f7f051757099565ad9ada5dd630bd9de5fa7fb86
-bleach==6.3.0 ; python_version >= "3.11" \
-    --hash=sha256:6f3b91b1c0a02bb9a78b5a454c92506aa0fdf197e1d5e114d2e00c6f64306d22 \
-    --hash=sha256:fe10ec77c93ddf3d13a73b035abaac7a9f5e436513864ccdad516693213c65d6
 bokeh==3.9.0 ; python_version >= "3.11" \
     --hash=sha256:775219714a8496973ddbae16b1861606ba19fe670a421e4d43267b41148e07a3 \
     --hash=sha256:b252bfb16a505f0e0c57d532d0df308ae1667235bafc622aa9441fe9e7c5ce4a
 cattrs==26.1.0 ; python_version >= "3.11" \
     --hash=sha256:d1e0804c42639494d469d08d4f26d6b9de9b8ab26b446db7b5f8c2e97f7c3096 \
     --hash=sha256:fa239e0f0ec0715ba34852ce813986dfed1e12117e209b816ab87401271cdd40
-certifi==2026.4.22 ; python_version >= "3.11" \
-    --hash=sha256:3cb2210c8f88ba2318d29b0388d1023c8492ff72ecdde4ebdaddbb13a31b1c4a \
-    --hash=sha256:8d455352a37b71bf76a79caa83a3d6c25afee4a385d632127b6afb3963f1c580
+certifi==2026.5.20 ; python_version >= "3.11" \
+    --hash=sha256:3c52e209ba0a4ad7aebe60436a4ab349c39e1e602e8c134221e546902ad25897 \
+    --hash=sha256:69dea482ab64caa7b9f6aba1c6bf48bb6a5448d1c0f1b17ab42ad8c763a5344d
 cftime==1.6.5 ; python_version >= "3.11" \
     --hash=sha256:12d95c6af852114a13301c5a61e41afdbd1542e72939c1083796f8418b9b8b0e \
     --hash=sha256:179681b023349a2fe277ceccc89d4fc52c0dd105cb59b7187b5bc5d442875133 \
@@ -191,9 +188,9 @@ charset-normalizer==3.4.7 ; python_version >= "3.11" \
     --hash=sha256:f59ad4c0e8f6bba240a9bb85504faa1ab438237199d4cce5f622761507b8f6a6 \
     --hash=sha256:fbccdc05410c9ee21bbf16a35f4c1d16123dcdeb8a1d38f33654fa21d0234f79 \
     --hash=sha256:fea24543955a6a729c45a73fe90e08c743f0b3334bbf3201e6c4bc1b0c7fa464
-click==8.4.0 ; python_version >= "3.11" \
-    --hash=sha256:40c50b7c6c6adac2823d411041ec84f3f103f1b280d5e9ce0d7f998995832f81 \
-    --hash=sha256:638f1338fe1235c8f4e008e4a8a254fb5c5fbdcbb40ece3c9142ebb78e792973
+click==8.4.1 ; python_version >= "3.11" \
+    --hash=sha256:482be17c6991b8c19c5429a1e995d9b0efdbb63172824c41f99965dc0ade8ec2 \
+    --hash=sha256:918b5633eddf6b41c32d4f454bf0de810065c74e3f7dbf8ee5452f8be88d3e96
 cloudpickle==3.1.2 ; python_version >= "3.11" \
     --hash=sha256:7fda9eb655c9c230dab534f1983763de5835249750e85fbcef43aaa30a9a2414 \
     --hash=sha256:9acb47f6afd73f60dc1df93bb801b472f05ff42fa6c84167d25cb206be1fbf4a
@@ -392,9 +389,9 @@ holoviews==1.22.1 ; python_version >= "3.11" \
 hvplot==0.12.2 ; python_version >= "3.11" \
     --hash=sha256:0687e2e4d2eeb035c437af0011922abff856054299c121914d903a02b1bb1b22 \
     --hash=sha256:9e29bbe65f94937d4eeaeccf33566540df936c8f9aeadfa12ea9f306d5237938
-idna==3.15 ; python_version >= "3.11" \
-    --hash=sha256:048adeaf8c2d788c40fee287673ccaa74c24ffd8dcf09ffa555a2fbb59f10ac8 \
-    --hash=sha256:ca962446ea538f7092a95e057da437618e886f4d349216d2b1e294abfdb65fdc
+idna==3.17 ; python_version >= "3.11" \
+    --hash=sha256:466e48829084efe2548012b855df21540b96f2e20e51bd124c851536556a592c \
+    --hash=sha256:5eb0cb53bc467c12eadcf6de83163ad8527cec9416f44b9b61b19caedad2b87f
 importlib-metadata==9.0.0 ; python_version < "3.12" and python_version >= "3.11" \
     --hash=sha256:2d21d1cc5a017bd0559e36150c21c830ab1dc304dedd1b7ea85d20f45ef3edd7 \
     --hash=sha256:a4f57ab599e6a2e3016d7595cfd72eb4661a5106e787a95bcc90c7105b831efc
@@ -404,9 +401,9 @@ iniconfig==2.3.0 ; python_version >= "3.11" \
 ipython-pygments-lexers==1.1.1 ; python_version >= "3.11" \
     --hash=sha256:09c0138009e56b6854f9535736f4171d855c8c08a563a0dcd8022f78355c7e81 \
     --hash=sha256:a9462224a505ade19a605f71f8fa63c2048833ce50abc86768a0d81d876dc81c
-ipython==9.13.0 ; python_version >= "3.11" \
-    --hash=sha256:57f9d4639e20818d328d287c7b549af3d05f12486ea8f2e7f73e52a36ec4d201 \
-    --hash=sha256:7e834b6afc99f020e3f05966ced34792f40267d64cb1ea9043886dab0dde5967
+ipython==9.14.0 ; python_version >= "3.11" \
+    --hash=sha256:6f27ff0f1d9ea050e0551f71568bc4b34d8aba579e8f111c5b4175f44ac6b4aa \
+    --hash=sha256:8fd984a3372c14b12790b084ba6b5cff5678c0cb063244a0034f06a51f20d6c2
 ipywidgets==8.1.8 ; python_version >= "3.11" \
     --hash=sha256:61f969306b95f85fba6b6986b7fe45d73124d1d9e3023a8068710d47a22ea668 \
     --hash=sha256:ecaca67aed704a338f88f67b1181b58f821ab5dc89c1f0f5ef99db43c1c2921e
@@ -431,141 +428,141 @@ linkify-it-py==2.1.0 ; python_version >= "3.11" \
 locket==1.0.0 ; python_version >= "3.11" \
     --hash=sha256:5c0d4c052a8bbbf750e056a8e65ccd309086f4f0f18a2eac306a8dfa4112a632 \
     --hash=sha256:b6c819a722f7b6bd955b80781788e4a66a55628b858d347536b7e81325a3a5e3
-lxml==6.1.0 ; python_version >= "3.11" \
-    --hash=sha256:00750d63ef0031a05331b9223463b1c7c02b9004cef2346a5b2877f0f9494dd2 \
-    --hash=sha256:022981127642fe19866d2907d76241bb07ed21749601f727d5d5dd1ce5d1b773 \
-    --hash=sha256:045e387d1f4f42a418380930fa3f45c73c9b392faf67e495e58902e68e8f44a7 \
-    --hash=sha256:05b9b8787e35bec69e68daf4952b2e6dfcfb0db7ecf1a06f8cdfbbac4eb71aad \
-    --hash=sha256:07f98f5496f96bf724b1e3c933c107f0cbf2745db18c03d2e13a291c3afd2635 \
-    --hash=sha256:08950a23f296b3f83521577274e3d3b0f3d739bf2e68d01a752e4288bc50d286 \
-    --hash=sha256:0d082495c5fcf426e425a6e28daaba1fcb6d8f854a4ff01effb1f1f381203eb9 \
-    --hash=sha256:0f0f08beb0182e3e9a86fae124b3c47a7b41b7b69b225e1377db983802404e54 \
-    --hash=sha256:1081dd10bc6fa437db2500e13993abf7cc30716d0a2f40e65abb935f02ec559c \
-    --hash=sha256:11a873c77a181b4fef9c2e357d08ed399542c2af1390101da66720a19c7c9618 \
-    --hash=sha256:183bfb45a493081943be7ea2b5adfc2b611e1cf377cefa8b8a8be404f45ef9a7 \
-    --hash=sha256:19f4164243fc206d12ed3d866e80e74f5bc3627966520da1a5f97e42c32a3f39 \
-    --hash=sha256:1ae225f66e5938f4fa29d37e009a3bb3b13032ac57eb4eb42afa44f6e4054e69 \
-    --hash=sha256:1bc4cc83fb7f66ffb16f74d6dd0162e144333fc36ebcce32246f80c8735b2551 \
-    --hash=sha256:1dd6a1c3ad4cb674f44525d9957f3e9c209bb6dd9213245195167a281fcc2bdc \
-    --hash=sha256:20cf4d0651987c906a2f5cba4e3a8d6ba4bfdf973cfe2a96c0d6053888ea2ecd \
-    --hash=sha256:2173a7bffe97667bbf0767f8a99e587740a8c56fdf3befac4b09cb29a80276fd \
-    --hash=sha256:21c3302068f50d1e8728c67c87ba92aa87043abee517aa2576cca1855326b405 \
-    --hash=sha256:23a5dc68e08ed13331d61815c08f260f46b4a60fdd1640bbeb82cf89a9d90289 \
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-    --hash=sha256:264c605ab9c0e4aa1a679636f4582c4d3313700009fac3ec9c3412ed0d8f3e1d \
-    --hash=sha256:26c5272c6a4bf4cf32d3f5a7890c942b0e04438691157d341616d02cca74d4bd \
-    --hash=sha256:26dd9f57ee3bd41e7d35b4c98a2ffd89ed11591649f421f0ec19f67d50ec67ac \
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+    --hash=sha256:cecdd5dfdc87b1fd87dbf81d4b037a544f47f4c744200a67013771682d67686a \
+    --hash=sha256:cf9d57306d848218f3601fee7601fab1a327c942d56e2e97610583cb4dd74206 \
+    --hash=sha256:d34bbf07dbc7ca5970671b1512e928991fb5e9d95365636c9b2d8b4f53af405e \
+    --hash=sha256:d49514be2f28d895c38cf9d2b72d7b9a07d00314519f456c0b50b53cfcf4c785 \
+    --hash=sha256:d680fbcb768404c601ecb43519ecd8461f6954cb11c06a78962f666832ccfca8 \
+    --hash=sha256:db1d75f6617a49c1c01bc7023713e0ff59ab32c9579ae62a7674c0e34f3b0b0a \
+    --hash=sha256:dcb292aa7fe485ceff7af4f92e46c5af397daec5dff64871a528f0fc47a3cc5b \
+    --hash=sha256:e07c65f443c887bbcf31cc1771d932ecc192a5273943589b3c7572b749f1ffb2 \
+    --hash=sha256:e902da4b04e6b52e5893900d4b8ab46068f75f3561f01bf1080957f9fd932ed6 \
+    --hash=sha256:e9308ff8241c532df3f3e570f9a5aeed6c853f888512ba4b75638d7c11c95ef6 \
+    --hash=sha256:eb7c9811bfaa8b1ed5ed319f5d370dfbcaa59d52ea64be2a5a85e18195930354 \
+    --hash=sha256:ebe6af670449830d6d9b752c256a983291c766a1365ba5d5460048f9e33a7818 \
+    --hash=sha256:ed21202aec73cda4d55d1ce57b389aadb90ffb044e6cd1080b8347efe1b1ec84 \
+    --hash=sha256:efe0374196335f93b53269acd811b944f2e6bdc88e8894f214bd636455484909 \
+    --hash=sha256:f64ec5397ea6a41fc1b4af0380d79b44a755b5531dcaccd9940fb260dca93038 \
+    --hash=sha256:f6ac4ef4d82dff54670227a69c67782ae0b811b5cf6b17954f1e8f7502fc0d1d \
+    --hash=sha256:f6f0ce10945fab9c4c06ce14e22af9059d1a87493a9af4501a5b0b9187e21cf2 \
+    --hash=sha256:f8844cd288697c6425c9beba919302241e3278871dc6519515e72b04e987abcf \
+    --hash=sha256:fe0306bd29505a9177aac19f1877174b0e7422c222a59f70b2cd41633448c3dc \
+    --hash=sha256:ff3f333630ab480244a1bff72043e511a91eb22e7595dead8653ee5612dd8f3d \
+    --hash=sha256:ffecec8eb889b58ba9be5b95fb1cc78e22ea8eedea38e8736a1568fe1979250e
 markdown-it-py==4.2.0 ; python_version >= "3.11" \
     --hash=sha256:04a21681d6fbb623de53f6f364d352309d4094dd4194040a10fd51833e418d49 \
     --hash=sha256:9f7ebbcd14fe59494226453aed97c1070d83f8d24b6fc3a3bcf9a38092641c4a
@@ -712,6 +709,34 @@ netcdf4==1.7.4 ; python_version >= "3.11" \
     --hash=sha256:d3f9497873454207f9480847d02b1b19a4bc81ad6e9166e1c17d4e2f8f3555d1 \
     --hash=sha256:ddfc7e9d261125c74708119440c85ea288b5fee41db676d2ba1ce9be11f96932 \
     --hash=sha256:dec70e809cc65b04ebe95113ee9c85ba46a51c3a37c058d2b2b0cadc4d3052d8
+nh3==0.3.5 ; python_version >= "3.11" \
+    --hash=sha256:0a09f51806fd51b4fedbf9ea2b61fef388f19aef0d62fe51199d41648be14588 \
+    --hash=sha256:207c01801d3e9bb8ec08f08689346bdd30ce15b8bf60013a925d08b5388962a4 \
+    --hash=sha256:23a312224875f72cd16bde417f49071451877e29ef646a60e50fcb69407cc18a \
+    --hash=sha256:2c069570b06aa848457713ad7af4a9905691291548c4466a9ad78ee95808382b \
+    --hash=sha256:38748140bf76383ab7ce2dce0ad4cb663855d8fbc9098f7f3483673d09616a17 \
+    --hash=sha256:387abd011e81959d5a35151a11350a0795c6edeb53ebfa02d2e882dc01299263 \
+    --hash=sha256:3bb854485c9b33e5bb143ff3e49e577073bc6bc320f0ff8fc316dd89c0d3c101 \
+    --hash=sha256:45855e14ff056064fec77133bfcf7cd691838168e5e17bbef075394954dc9dc8 \
+    --hash=sha256:45e6a65dc88a300a2e3502cb9c8e6d1d6b831d6fba7470643333609c6aab1f30 \
+    --hash=sha256:488928988caad25ba14b1eb5bc74e25e21f3b5e40341d956f3ce4a8bc19460dc \
+    --hash=sha256:48f45e3e914be93a596431aa143dedf1582557bf41a58153c296048d6e3798c9 \
+    --hash=sha256:50d401ab2d8e86d59e2126e3ab2a2f45840c405842b626d9a51624b3a33b6878 \
+    --hash=sha256:52d877980d7ca01dc3baf3936bf844828bc6f332962227a684ed79c18cce14c3 \
+    --hash=sha256:559e4c73b689e9a7aa97ac9760b1bc488038d7c1a575aa4ab5a0e19ee9630c0f \
+    --hash=sha256:6ea58cc44d274c643b83547ca9654a0b1a817609b160601356f76a2b744c49ad \
+    --hash=sha256:72c5bdedec27fa33de6a5326346ea8aa3fe54f6ac294d54c4b204fb66a9f1e79 \
+    --hash=sha256:84bdeb082544fbcb77a12c034dd77d7da0556fdc0727b787eb6214b958c15e29 \
+    --hash=sha256:8f85285700a18e9f3fc5bff41fe573fa84f81542ef13b48a89f9fecca0474d3b \
+    --hash=sha256:acfd354e61accbe4c74f8017c6e397a776916dfe47c48643cf7fd84ade826f93 \
+    --hash=sha256:c357f1d042c67f135a5e6babb2b0e3b9d9224ff4a3543240f597767b01384ffd \
+    --hash=sha256:c3aae321f67ae66cff2a627115f106a377d4475d10b0e13d97959a13486b9a88 \
+    --hash=sha256:c88605d8d468f7fc1b31e06129bc91d6c96f6c621776c9b504a0da9beac9df5f \
+    --hash=sha256:de8e8621853b6470fe928c684ee0d3f39ea8086cebafe4c416486488dea7b68d \
+    --hash=sha256:e49c9b564e6bcb03ecd2f057213df9a0de15a95812ac9db9600b590db23d3ae9 \
+    --hash=sha256:ea232933394d1d58bf7c4bb348dc4660eae6604e1ae81cd2ba6d9ed80d390f3b \
+    --hash=sha256:eeedc90ed8c42c327e8e10e621ccfa314fc6cce35d5929f4297ff1cdb89667c4 \
+    --hash=sha256:fe3a787dc76b50de6bee54ef242f26c41dfe47654428e3e94f0fae5bb6dd2cc1
 numcodecs==0.16.5 ; python_version >= "3.11" \
     --hash=sha256:0107e839ef75b854e969cb577e140b1aadb9847893937636582d23a2a4c6ce50 \
     --hash=sha256:015a7c859ecc2a06e2a548f64008c0ec3aaecabc26456c2c62f4278d8fc20597 \
@@ -734,79 +759,79 @@ numcodecs==0.16.5 ; python_version >= "3.11" \
     --hash=sha256:c043af648eb280cd61785c99c22ff5c3c3460f906eb51a8511327c4f5111b283 \
     --hash=sha256:c398919ef2eb0e56b8e97456f622640bfd3deed06de3acc976989cbcb22628a3 \
     --hash=sha256:e2d04a19cb57a3c519b4127ac377cca6471aee1990d7c18f5b1e3a4fe1306689
-numpy==2.4.5 ; python_version >= "3.11" \
-    --hash=sha256:02981d0fc9f9ce147643d552966d47f329a02f7ecb3b113e84207242f20dfa83 \
-    --hash=sha256:06760fe73ae5005008748d182de612c733542af3cde063d532cd2127561b27be \
-    --hash=sha256:079b0fad6f2899b23c5da89792b5409d2d83fc83e8bd5c2299cc9c397a264864 \
-    --hash=sha256:07ce7e74da92d7c71b5df157b9758bcdd53d7fea10602154de3afd2b3ddc34dd \
-    --hash=sha256:09d7d97da1c2c62f4818b3e150a57572ff8dcf1cf5ac501aac832ffd4ebd9566 \
-    --hash=sha256:0c6919cefafb3b76cd46a89dbb203bf1dd95529d2a6d09fef2d325d95d6a79d8 \
-    --hash=sha256:0d63a780070871210853ba01e90b88f9b85cf2abf63a7f143d5127189265ddf6 \
-    --hash=sha256:0e63caf31a1df06338ae63d999f7a33a675ced62eea9c9b02db4b1c1f45cff38 \
-    --hash=sha256:130d58151c4db23e9fa860b84784e219a3aa3e030acc88a493ea37006c4dfd4c \
-    --hash=sha256:144fcc5a3a17679b2b82543b4a2d8dd29937230a7af13232b5f753872feb6361 \
-    --hash=sha256:14b86f56048ed09c3bbe48962a7dff077c2fd3274f8cf981800f3b38eac49cc3 \
-    --hash=sha256:15f90d1256e9b2320aff24fde44815b787ab6d7c49a1a11bfd8138b321c5f080 \
-    --hash=sha256:1616bde34b2bcba2fa9bde06217ce00da4f3d1bdfb264d54525a99e8fe170d83 \
-    --hash=sha256:1811150e5148f5a01a7cc282cb2f489b4a3050a773e173adb480e507bad3a3d7 \
-    --hash=sha256:1ef248460b645c102026b82337cc4e88231909c66dd77b59ec6d6cac7e44f277 \
-    --hash=sha256:235f54b0156274d8fa3155db3ed6d2f401c7e8f3367c90db0a12f02a58fde6ed \
-    --hash=sha256:27f4a6dc26353a860b348961b9aa9e009835688b435cfa105e873b8dc2c726f5 \
-    --hash=sha256:2a235607a18df941760a695927051af4b1cd5d3ee85840d0e2af816785771feb \
-    --hash=sha256:2caa576d1707b275cba1aeb60a5c50daa6fa2a3f28ecb08123bc05fd439005db \
-    --hash=sha256:2d68d0b355ab2e39fe0de59001d7151dfdbbb880ef67baeed806661e03df5097 \
-    --hash=sha256:3176dc8ff71dbb593606f91a69ad0c3cd3303c7eb546af477370ab9edf760288 \
-    --hash=sha256:32f8f852273ef32b291201ac2a2c97629c4a1ee8632bb670e3443eaa09fc2e72 \
-    --hash=sha256:3333dba6a4e611d666f69e177ba8fe4140366ff681a5feb2374d3fd4fff3acb6 \
-    --hash=sha256:398bb16772b265b9fa5c07b07072646ea97137c10ffb62a9a087b277fc825c29 \
-    --hash=sha256:40c71d50a4da1a7c317af419461052d3911a5770bfc5fd55baf52cc45e7a2c20 \
-    --hash=sha256:4593d197270b894efeb538dcbe227e4bcf1c77f88c4c6bf933ead812cfaa4453 \
-    --hash=sha256:4603622bdcdbf8dccb1d9d5b21d16a7aa4e473ae6c8e14048d846fd4ca2907a0 \
-    --hash=sha256:4b51a01745cb04cc19278482207444b4d30728ce91c28d27a3bfae5fc6ff24c7 \
-    --hash=sha256:4bb33e900ee81730ad77a258965134aa8ceac805124f7e5229347beda4b8d0aa \
-    --hash=sha256:4bd2cd4ef9c0afa87de73723c0a33c0edff62143e1432917458e26d3d195d87f \
-    --hash=sha256:4cd9f6fa7ce10dc4627f2bb81dd9075dab67e94632e04c2b638e12575ddaa862 \
-    --hash=sha256:4ed78c904a638b6e5d7cd4db90c06fca5fc6ec2f28d258305368f454a50e79cf \
-    --hash=sha256:4f5bc96d35d94e4ceab8b38a92241b4611e95dc44e63b9f1fa2a331858ee3507 \
-    --hash=sha256:58dcf64969d870f36bc7fbd557d2617e997db7dc06261b6e3327148ea460d0a4 \
-    --hash=sha256:654fb8674b61b1c4bd568f944d13a908566fdcb0d797303521d4149d16da05ef \
-    --hash=sha256:685681e956fc8dcb75adc6ff26694e1dfd738b24bd8d4696c51ca0110157f912 \
-    --hash=sha256:6bf0bfc1c2e1db972e30b6cd3d4861f477f3af908b27799b239dc3cbe3eb4b95 \
-    --hash=sha256:6c18d49c67689c562854b53fdc433b93e47c12952aa6fa6d59f185e1a5992419 \
-    --hash=sha256:6d7df2da2e7ea0624a43aa368104b3a3ce14aae98ad4bb2c9a93fecef76f1c97 \
-    --hash=sha256:6de2883e0d2c63eae1bab1a84b390dca74aabb3d20ea1f5d58f360853c83abf3 \
-    --hash=sha256:6f64dd84b277a737eb59513f6b9bb6195bf41ab11941ef15b2562dbab43fa8ef \
-    --hash=sha256:7200c58f3f933ca61e66346667dcc8510bb111995e9ce15398a731e6a4afa4bb \
-    --hash=sha256:7341b08ff8124d7353939778e2707b8732d03c78c1c30e0815aba2dacbe1245a \
-    --hash=sha256:73d664413fb97229149c4711ef56531a6fe8c15c1c2626b0bbe497b84c287e70 \
-    --hash=sha256:76ac6e90f5e226011c88f9b7040a4bcae612518bc7e9adc127e697a13b28ad1a \
-    --hash=sha256:7c392e2c1bf596701d3c6832be7567eab5d5b0a13865036c33365ee097d37f8b \
-    --hash=sha256:7f09a7e5f017d7098c66522097c96257411c9620c0926212200d66bc8cee3976 \
-    --hash=sha256:84f58bed609b5669f5ad3d597901a4f1f86ee5b3c3708aaa55f05b4fe6e0f656 \
-    --hash=sha256:86d980970f5110595ca14855768073b08585fc1acc36895de303e039e7dee4a5 \
-    --hash=sha256:889ca2c072315de638a5194a772aa1fa2df92bdd6175f6a222d4784040424b61 \
-    --hash=sha256:89e89304fb1f8c3f0ecfa4a7d48f311dd79771336a940e920159d643d1307e77 \
-    --hash=sha256:93793222b524f692f12b2f8752ce8b1d9d9125b2bfd5dbf0fb69c92c5e1ce86c \
-    --hash=sha256:993a88d8fdd8554466a8765cd8bacd97ba56b70ca6b0a04bcdca77f5afed4222 \
-    --hash=sha256:9a05636d7937d0936f271e5ba957fa8d746b5be3c2025caa1a2508f4fe521d40 \
-    --hash=sha256:b1c663ddc641f4192e90511bec61a09bc231e3bbdb996cdc6edbcaa0e528d685 \
-    --hash=sha256:b35bee5ef99e8d227a07829bee2e864fcb65f7c157646fcd8ec8b4b45dd8b88f \
-    --hash=sha256:b42d9496f79e3a728192f05a42d86e36163217b7cdecb3813d0028a0aa6b72d7 \
-    --hash=sha256:c26c71080d35db5002102f5d9ff614d45de02aa1f7802943e691e063e5ee93bc \
-    --hash=sha256:ca670567a5683b7c1670ec03e0ddd5862e10934e92a70751d68d7b7b74ca7f9f \
-    --hash=sha256:d475afc8cbe935ff5944f753d863bba774d7f4e1feaaa4102901e3e053ca5963 \
-    --hash=sha256:d51efede1e58e8b11877536a5518f60e318d8ff69b89ad7b38ee5e431b24d772 \
-    --hash=sha256:d6c78e260b53affe9b395a9d54fc61f101f9521c4d9452c7e9e3718b19e2215b \
-    --hash=sha256:d7828234a13185effb34979e146f9921f2a65dfbbe215e6dbb57d6478fc8e059 \
-    --hash=sha256:d888bdf7335f76878c3c7b264ac1ff089863e211ec81249f9fb5795c2183dc25 \
-    --hash=sha256:d8fc52b85a7b45e474be53eddf08e006d22e381a4e41bcde8e4aa08da0e7d198 \
-    --hash=sha256:db304568c650e9d7039744d3575d0d287754debb2057d7c7b8cdfdc2c487a957 \
-    --hash=sha256:deb01226f012539f3945261ffe1c10aec081a0fa0a5c925419933c70f3ae2d23 \
-    --hash=sha256:ef3b5bb65437a3555c648e706475db01c645559ca80dc8b03e4f202ea757e0d6 \
-    --hash=sha256:f96083adc3dfc1bbf778f2c79654d88115fa07074c97cb724fe9508f12d91c55 \
-    --hash=sha256:fb352e7b8876da1249e72254736d6c58c505fa4e58a3d7e30efca241ca9ca9ce \
-    --hash=sha256:fb4a6c9c537d6ccec9cc4aeae4261bd3cc79b070c67ddc0646f5b1c07fddde42 \
-    --hash=sha256:fe28b64777ddfa0eca9b5f51474034ebe3dcb8324f48f27b28f479085673ae33
+numpy==2.4.6 ; python_version >= "3.11" \
+    --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \
+    --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \
+    --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \
+    --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \
+    --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \
+    --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \
+    --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \
+    --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \
+    --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \
+    --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \
+    --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \
+    --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \
+    --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \
+    --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \
+    --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \
+    --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \
+    --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \
+    --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \
+    --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \
+    --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \
+    --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \
+    --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \
+    --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \
+    --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \
+    --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \
+    --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \
+    --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \
+    --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \
+    --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \
+    --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \
+    --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \
+    --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \
+    --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \
+    --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \
+    --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \
+    --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \
+    --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \
+    --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \
+    --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \
+    --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \
+    --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \
+    --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \
+    --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \
+    --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \
+    --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \
+    --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \
+    --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \
+    --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \
+    --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \
+    --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \
+    --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \
+    --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \
+    --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \
+    --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \
+    --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \
+    --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \
+    --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \
+    --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \
+    --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \
+    --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \
+    --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \
+    --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \
+    --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \
+    --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \
+    --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \
+    --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \
+    --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \
+    --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \
+    --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \
+    --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \
+    --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \
+    --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20
 packaging==26.2 ; python_version >= "3.11" \
     --hash=sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e \
     --hash=sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661
@@ -862,12 +887,15 @@ pandas==3.0.3 ; python_version >= "3.11" \
     --hash=sha256:e3a2ec42c98ffa2565a67e08e218d06d72576d758d90facb7c00805194d8f360 \
     --hash=sha256:f8894dc474d648fe7b6ff0ca9b0bd73950d19952bc1a6534540762c5d79d305c \
     --hash=sha256:fed2ff7fd9779120e388e285fc029bd5cf9490cdd2e4166a9ee22c0e49a9ab09
-panel==1.8.10 ; python_version >= "3.11" \
-    --hash=sha256:762881b06efb99f3d201749a3634c6b5f18f46cfca520970c2c1bb31bed42c90 \
-    --hash=sha256:b1de9304e729b87fdeee59a5be5b0d3ce7786dc301626cb728f69fbc4c136693
-param==2.3.3 ; python_version >= "3.11" \
-    --hash=sha256:43c24345d287d4abda15eac65b5b15d55f178a393421f0bfca02a77dd6c0d1dd \
-    --hash=sha256:ae25afbc372c1a5e4ee72935cc76ff77b1db1c4eb092bc46715c906ef3cc2e69
+panel-material-ui==0.11.2 ; python_version >= "3.11" \
+    --hash=sha256:adbfae5776412d6cfa8f6fccf7af932ee264749f4d366a5a80e5af67d5bb7739 \
+    --hash=sha256:ef0912f6d0621d176d8f085f93027aafa00dc4934d04b4fd82d03a51ea29ea22
+panel==1.9.2 ; python_version >= "3.11" \
+    --hash=sha256:7099ad4334c305d7e2654d46945d3117e63379f15d0b8635e67f3f825dbccd9b \
+    --hash=sha256:ede8daa7a2515a2f3b49f19ed9aff75fcef48d6d8c3b9df3a4ebf26a551a0407
+param==2.4.0 ; python_version >= "3.11" \
+    --hash=sha256:770ecebb1bb8ffaeb8722a00976ba5092af287344471c513ba51597b4257339b \
+    --hash=sha256:d2c09da9fe80084cb5a8732761f26786317133995344df03db5f09d63ac35233
 parso==0.8.7 ; python_version >= "3.11" \
     --hash=sha256:a8926eb2a1b915486941fdbd31e86a4baf88fe8c210f25f2f35ecec5b574ca1c \
     --hash=sha256:eaaac4c9fdd5e9e8852dc778d2d7405897ec510f2a298071453e5e3a07914bb1
@@ -972,9 +1000,9 @@ pillow==12.2.0 ; python_version >= "3.11" \
     --hash=sha256:f490f9368b6fc026f021db16d7ec2fbf7d89e2edb42e8ec09d2c60505f5729c7 \
     --hash=sha256:fb043ee2f06b41473269765c2feae53fc2e2fbf96e5e22ca94fb5ad677856f06 \
     --hash=sha256:fc3d34d4a8fbec3e88a79b92e5465e0f9b842b628675850d860b8bd300b159f5
-platformdirs==4.9.6 ; python_version >= "3.11" \
-    --hash=sha256:3bfa75b0ad0db84096ae777218481852c0ebc6c727b3168c1b9e0118e458cf0a \
-    --hash=sha256:e61adb1d5e5cb3441b4b7710bea7e4c12250ca49439228cc1021c00dcfac0917
+platformdirs==4.10.0 ; python_version >= "3.11" \
+    --hash=sha256:31e761a6a0ca04faf7353ea759bdba55652be214725111e5aac52dfa29d4bef7 \
+    --hash=sha256:fb516cdb12eb0d857d0cd85a7c57cea4d060bee4578d6cf5a14dfdf8cbf8784a
 pluggy==1.6.0 ; python_version >= "3.11" \
     --hash=sha256:7dcc130b76258d33b90f61b658791dede3486c3e6bfb003ee5c9bfb396dd22f3 \
     --hash=sha256:e920276dd6813095e9377c0bc5566d94c932c33b27a3e3945d8389c374dd4746
@@ -984,7 +1012,7 @@ pooch==1.9.0 ; python_version >= "3.11" \
 prompt-toolkit==3.0.52 ; python_version >= "3.11" \
     --hash=sha256:28cde192929c8e7321de85de1ddbe736f1375148b02f2e17edd840042b1be855 \
     --hash=sha256:9aac639a3bbd33284347de5ad8d68ecc044b91a762dc39b7c21095fcd6a19955
-psutil==7.2.2 ; python_version >= "3.11" \
+psutil==7.2.2 ; sys_platform != "emscripten" and python_version >= "3.11" \
     --hash=sha256:0746f5f8d406af344fd547f1c8daa5f5c33dbc293bb8d6a16d80b4bb88f59372 \
     --hash=sha256:076a2d2f923fd4821644f5ba89f059523da90dc9014e85f8e45a5774ca5bc6f9 \
     --hash=sha256:11fe5a4f613759764e79c65cf11ebdf26e33d6dd34336f8a337aa2996d71c841 \
@@ -1027,6 +1055,9 @@ pytest==9.0.3 ; python_version >= "3.11" \
 python-dateutil==2.9.0.post0 ; python_version >= "3.11" \
     --hash=sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3 \
     --hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
+python-serafin==0.1.0 ; python_version >= "3.11" \
+    --hash=sha256:2afd42ac11bded0182c0e90be7c72c3cf27ed48a45cb712f3b130df78e7edbc3 \
+    --hash=sha256:621a85a99a5352d9335369be8903486b4fb2565559d30707446cb35d5b1b67c8
 pyviz-comms==3.0.6 ; python_version >= "3.11" \
     --hash=sha256:4eba6238cd4a7f4add2d11879ce55411785b7d38a7c5dba42c7a0826ca53e6c2 \
     --hash=sha256:73d66b620390d97959b2c4d8a2c0778d41fe20581be4717f01e46b8fae8c5695
@@ -1171,9 +1202,9 @@ scipy==1.17.1 ; python_version >= "3.11" \
 six==1.17.0 ; python_version >= "3.11" \
     --hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 \
     --hash=sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81
-soupsieve==2.8.3 ; python_version >= "3.11" \
-    --hash=sha256:3267f1eeea4251fb42728b6dfb746edc9acaffc4a45b27e19450b676586e8349 \
-    --hash=sha256:ed64f2ba4eebeab06cc4962affce381647455978ffc1e36bb79a545b91f45a95
+soupsieve==2.8.4 ; python_version >= "3.11" \
+    --hash=sha256:e121fd02e975c695e4e9e8774a5ee35d74714b59307868dcc5319ad2d9e3328e \
+    --hash=sha256:e7e6b0769c8f51ed59acab6e994b00621096cfb1c640a7509295987388fbaf65
 stack-data==0.6.3 ; python_version >= "3.11" \
     --hash=sha256:836a778de4fec4dcd1dcd89ed8abff8a221f58308462e1c4aa2a3cf30148f0b9 \
     --hash=sha256:d5558e0c25a4cb0853cddad3d77da9891a08cb85dd9f9f91b9f8cd66e511e695
@@ -1228,17 +1259,17 @@ tomli==2.4.1 ; python_version >= "3.11" \
 toolz==1.1.0 ; python_version >= "3.11" \
     --hash=sha256:15ccc861ac51c53696de0a5d6d4607f99c210739caf987b5d2054f3efed429d8 \
     --hash=sha256:27a5c770d068c110d9ed9323f24f1543e83b2f300a687b7891c1a6d56b697b5b
-tornado==6.5.5 ; sys_platform != "emscripten" and python_version >= "3.11" \
-    --hash=sha256:192b8f3ea91bd7f1f50c06955416ed76c6b72f96779b962f07f911b91e8d30e9 \
-    --hash=sha256:2c9a876e094109333f888539ddb2de4361743e5d21eece20688e3e351e4990a6 \
-    --hash=sha256:36abed1754faeb80fbd6e64db2758091e1320f6bba74a4cf8c09cd18ccce8aca \
-    --hash=sha256:3f54aa540bdbfee7b9eb268ead60e7d199de5021facd276819c193c0fb28ea4e \
-    --hash=sha256:435319e9e340276428bbdb4e7fa732c2d399386d1de5686cb331ec8eee754f07 \
-    --hash=sha256:487dc9cc380e29f58c7ab88f9e27cdeef04b2140862e5076a66fb6bb68bb1bfa \
-    --hash=sha256:6443a794ba961a9f619b1ae926a2e900ac20c34483eea67be4ed8f1e58d3ef7b \
-    --hash=sha256:65a7f1d46d4bb41df1ac99f5fcb685fb25c7e61613742d5108b010975a9a6521 \
-    --hash=sha256:dd3eafaaeec1c7f2f8fdcd5f964e8907ad788fe8a5a32c4426fbbdda621223b7 \
-    --hash=sha256:e74c92e8e65086b338fd56333fb9a68b9f6f2fe7ad532645a290a464bcf46be5
+tornado==6.5.6 ; sys_platform != "emscripten" and python_version >= "3.11" \
+    --hash=sha256:1c34cfab7ad6d104f052f55de06d39bbafc5885cfeb4da688803308dbcfa90b7 \
+    --hash=sha256:2543597b24a695d72338a9a77818362d72387c03ae173f1f169eadc5c91466ac \
+    --hash=sha256:385f35e4e22fb52551dfcda4cdc8c30c61c2c001aef5ddad99cdfe116952efd3 \
+    --hash=sha256:38bc01b4acacded2de63ae78023548e41ebe6fbed3ec05a796d7ae3ad893887e \
+    --hash=sha256:65fcfaafb079435c2c19dc9e07c0f1cf0fa9051759ed0a7d0a3ba7ea7f64919c \
+    --hash=sha256:6739bf1e8eb09230f1280ddbd3236f0309db70f2c551a8dbc40f62babdf82f79 \
+    --hash=sha256:8666946e70171b8c3f1fc9b7876fac492e84822c4c7f3746f4e8f8bc9ac92a79 \
+    --hash=sha256:9a365179fe8ff6b8766f602c0f67c185d778193e9bdd828b19f0b6ed7764177d \
+    --hash=sha256:b942e6a137fda31ff54bf8e6e2c8d1c37f1f50583f3ed53fb840b53b9601d104 \
+    --hash=sha256:db475f1b67b2809b10bb16264829087724ca8d24fe4ed47f7b8675cae453ef86
 tqdm==4.67.3 ; python_version >= "3.11" \
     --hash=sha256:7d825f03f89244ef73f1d4ce193cb1774a8179fd96f31d7e1dcde62092b960bb \
     --hash=sha256:ee1e4c0e59148062281c49d80b25b67771a127c85fc9676d3be5f243206826bf
@@ -1294,9 +1325,6 @@ watchdog==6.0.0 ; python_version >= "3.11" \
 wcwidth==0.7.0 ; python_version >= "3.11" \
     --hash=sha256:5d69154c429a82910e241c738cd0e2976fac8a2dd47a1a805f4afed1c0f136f2 \
     --hash=sha256:90e3a7ea092341c44b99562e75d09e4d5160fe7a3974c6fb842a101a95e7eed0
-webencodings==0.5.1 ; python_version >= "3.11" \
-    --hash=sha256:a0af1213f3c2226497a97e2b3aa01a7e4bee4f403f95be16fc9acd2947514a78 \
-    --hash=sha256:b36a1c245f2d304965eb4e0a82848379241dc04b865afcc4aab16748587e1923
 webob==1.8.9 ; python_version >= "3.11" \
     --hash=sha256:45e34c58ed0c7e2ecd238ffd34432487ff13d9ad459ddfd77895e67abba7c1f9 \
     --hash=sha256:ad6078e2edb6766d1334ec3dee072ac6a7f95b1e32ce10def8ff7f0f02d56589
@@ -1315,20 +1343,20 @@ xyzservices==2026.3.0 ; python_version >= "3.11" \
 zarr==3.1.6 ; python_version >= "3.11" \
     --hash=sha256:b5a82c5079d1c3d4ee8f06746fa3b9a98a7d804300fa3f4be154362a33e1207e \
     --hash=sha256:d95e72cbea4b90e9a70679468b8266400331756232576ae2b43400ac5108d0eb
-zensical==0.0.42 ; python_version >= "3.11" \
-    --hash=sha256:2e4304e103f9cd5c637045bbae1ff29de3009ab01b16e99c2fd6d4bbceb7a3ee \
-    --hash=sha256:3c026f023330d67f986a94b68ffd36dc5066882e697e1125c37308d8d684135c \
-    --hash=sha256:47cd99583738a8ab03fac4080741275c56e741a06dc8edfb541f4c1649a5ae69 \
-    --hash=sha256:5e9a5d508ce8d1b07d8417f0623be476f6b37d445ab4356481a71e613a7979d6 \
-    --hash=sha256:83090e53fba061967ecb3dff81500b1900f288bae108bf54084a2aeb6648ebd0 \
-    --hash=sha256:8f0e96e53f39b9e4b929a25d9df70bd7fa8217166a854e2c8f3185983dd01500 \
-    --hash=sha256:9fbc0951a676e48afe7df3a9b2a30958dcf9c426ed2480972d3c04d6de485ba3 \
-    --hash=sha256:b7d586e57436d603e88acd856864f99f0771aef24bf6560b2de238417bd3817c \
-    --hash=sha256:bffd7a34b570fa3ccadf1d23babb0f7c4851c6b626e4fc8ed9f21c2eaae85968 \
-    --hash=sha256:c0bf96b55f0a44e8716bcb334a16380ed56772b555145da775a7d8ac8678cb6f \
-    --hash=sha256:cc346b833868a59412fe8d8498a152be90be9f3d8fb87e1f1a1c2e1146cbae1b \
-    --hash=sha256:e5908bc09cf5c1c50c9504241e37f89955daf3e89ba1b9d71c17972578b24804 \
-    --hash=sha256:ee1a79789f9462ef44a4b6ebbfc8b5bf4b2447607da8bc5b35bc9c4ce4ea2370
-zipp==3.23.1 ; python_version < "3.12" and python_version >= "3.11" \
-    --hash=sha256:0b3596c50a5c700c9cb40ba8d86d9f2cc4807e9bedb06bcdf7fac85633e444dc \
-    --hash=sha256:32120e378d32cd9714ad503c1d024619063ec28aad2248dc6672ad13edfa5110
+zensical==0.0.43 ; python_version >= "3.11" \
+    --hash=sha256:03a9d1744a6394ad66c355d6f1de04cfd92efa525b0b94bf6dbf6971c5cd2c6b \
+    --hash=sha256:0e278eb948a0b7545d50609d713c7c27e366dade4523ff73a311a5d5f136518a \
+    --hash=sha256:17c335362b6bac3a50178181694a964f6d9f0c516fc532129ba5a0a5c4103fb6 \
+    --hash=sha256:4c4c85978c765b3e7f347e8102dfe1373d4bbe4229d7008b6bdbf352f1fbcd7f \
+    --hash=sha256:60022f4a6b95e46ec0023f51052fcd491743b3ebd08c0066b22a5cf1e741fecd \
+    --hash=sha256:751385accc92cccfd4560dabed7c423870686ef6ede244a67e5c96286af25e8f \
+    --hash=sha256:85055a115b12f49c6ab194dcf04f966fc06b690ed6a8ddddd819929fc5f340e6 \
+    --hash=sha256:8a75ddd4bb3cd3c4a8e71d2ebae44c5611fd636c1d355c6124dd96e2f9c52838 \
+    --hash=sha256:90d7c06ffd07b2bdf78bef041d541baba8a3ea51fd2dd84dbdbc5b0229076524 \
+    --hash=sha256:b85e5ab99fbda13823e67c43a4be6e5ebda6600602969c6575e143f20ac203fd \
+    --hash=sha256:b8fe97f185194215f6193af45a17d2b30ebd72c8113e3650f2d7d6767b9c2206 \
+    --hash=sha256:dc2d3804ff562795c1024130e0c3ce79736467930729dda314f096d0e35b98c8 \
+    --hash=sha256:dd3ff5bfa6e65cf3d2550dc639c3da2a3bfa11087b83d57e06623c4c1607d583
+zipp==4.1.0 ; python_version < "3.12" and python_version >= "3.11" \
+    --hash=sha256:25ad4e16390cd314347dd8f1de67a2ac538ae658ed4ab9db16029c07c188e97f \
+    --hash=sha256:4cb57381f544315db7688e976e922a2b18cdb513d21cc194eb42232ba2a3e602
diff --git a/requirements/requirements.txt b/requirements/requirements.txt
index 6e5aa7b..4022206 100644
--- a/requirements/requirements.txt
+++ b/requirements/requirements.txt
@@ -1,76 +1,76 @@
-numpy==2.4.5 ; python_version >= "3.11" \
-    --hash=sha256:02981d0fc9f9ce147643d552966d47f329a02f7ecb3b113e84207242f20dfa83 \
-    --hash=sha256:06760fe73ae5005008748d182de612c733542af3cde063d532cd2127561b27be \
-    --hash=sha256:079b0fad6f2899b23c5da89792b5409d2d83fc83e8bd5c2299cc9c397a264864 \
-    --hash=sha256:07ce7e74da92d7c71b5df157b9758bcdd53d7fea10602154de3afd2b3ddc34dd \
-    --hash=sha256:09d7d97da1c2c62f4818b3e150a57572ff8dcf1cf5ac501aac832ffd4ebd9566 \
-    --hash=sha256:0c6919cefafb3b76cd46a89dbb203bf1dd95529d2a6d09fef2d325d95d6a79d8 \
-    --hash=sha256:0d63a780070871210853ba01e90b88f9b85cf2abf63a7f143d5127189265ddf6 \
-    --hash=sha256:0e63caf31a1df06338ae63d999f7a33a675ced62eea9c9b02db4b1c1f45cff38 \
-    --hash=sha256:130d58151c4db23e9fa860b84784e219a3aa3e030acc88a493ea37006c4dfd4c \
-    --hash=sha256:144fcc5a3a17679b2b82543b4a2d8dd29937230a7af13232b5f753872feb6361 \
-    --hash=sha256:14b86f56048ed09c3bbe48962a7dff077c2fd3274f8cf981800f3b38eac49cc3 \
-    --hash=sha256:15f90d1256e9b2320aff24fde44815b787ab6d7c49a1a11bfd8138b321c5f080 \
-    --hash=sha256:1616bde34b2bcba2fa9bde06217ce00da4f3d1bdfb264d54525a99e8fe170d83 \
-    --hash=sha256:1811150e5148f5a01a7cc282cb2f489b4a3050a773e173adb480e507bad3a3d7 \
-    --hash=sha256:1ef248460b645c102026b82337cc4e88231909c66dd77b59ec6d6cac7e44f277 \
-    --hash=sha256:235f54b0156274d8fa3155db3ed6d2f401c7e8f3367c90db0a12f02a58fde6ed \
-    --hash=sha256:27f4a6dc26353a860b348961b9aa9e009835688b435cfa105e873b8dc2c726f5 \
-    --hash=sha256:2a235607a18df941760a695927051af4b1cd5d3ee85840d0e2af816785771feb \
-    --hash=sha256:2caa576d1707b275cba1aeb60a5c50daa6fa2a3f28ecb08123bc05fd439005db \
-    --hash=sha256:2d68d0b355ab2e39fe0de59001d7151dfdbbb880ef67baeed806661e03df5097 \
-    --hash=sha256:3176dc8ff71dbb593606f91a69ad0c3cd3303c7eb546af477370ab9edf760288 \
-    --hash=sha256:32f8f852273ef32b291201ac2a2c97629c4a1ee8632bb670e3443eaa09fc2e72 \
-    --hash=sha256:3333dba6a4e611d666f69e177ba8fe4140366ff681a5feb2374d3fd4fff3acb6 \
-    --hash=sha256:398bb16772b265b9fa5c07b07072646ea97137c10ffb62a9a087b277fc825c29 \
-    --hash=sha256:40c71d50a4da1a7c317af419461052d3911a5770bfc5fd55baf52cc45e7a2c20 \
-    --hash=sha256:4593d197270b894efeb538dcbe227e4bcf1c77f88c4c6bf933ead812cfaa4453 \
-    --hash=sha256:4603622bdcdbf8dccb1d9d5b21d16a7aa4e473ae6c8e14048d846fd4ca2907a0 \
-    --hash=sha256:4b51a01745cb04cc19278482207444b4d30728ce91c28d27a3bfae5fc6ff24c7 \
-    --hash=sha256:4bb33e900ee81730ad77a258965134aa8ceac805124f7e5229347beda4b8d0aa \
-    --hash=sha256:4bd2cd4ef9c0afa87de73723c0a33c0edff62143e1432917458e26d3d195d87f \
-    --hash=sha256:4cd9f6fa7ce10dc4627f2bb81dd9075dab67e94632e04c2b638e12575ddaa862 \
-    --hash=sha256:4ed78c904a638b6e5d7cd4db90c06fca5fc6ec2f28d258305368f454a50e79cf \
-    --hash=sha256:4f5bc96d35d94e4ceab8b38a92241b4611e95dc44e63b9f1fa2a331858ee3507 \
-    --hash=sha256:58dcf64969d870f36bc7fbd557d2617e997db7dc06261b6e3327148ea460d0a4 \
-    --hash=sha256:654fb8674b61b1c4bd568f944d13a908566fdcb0d797303521d4149d16da05ef \
-    --hash=sha256:685681e956fc8dcb75adc6ff26694e1dfd738b24bd8d4696c51ca0110157f912 \
-    --hash=sha256:6bf0bfc1c2e1db972e30b6cd3d4861f477f3af908b27799b239dc3cbe3eb4b95 \
-    --hash=sha256:6c18d49c67689c562854b53fdc433b93e47c12952aa6fa6d59f185e1a5992419 \
-    --hash=sha256:6d7df2da2e7ea0624a43aa368104b3a3ce14aae98ad4bb2c9a93fecef76f1c97 \
-    --hash=sha256:6de2883e0d2c63eae1bab1a84b390dca74aabb3d20ea1f5d58f360853c83abf3 \
-    --hash=sha256:6f64dd84b277a737eb59513f6b9bb6195bf41ab11941ef15b2562dbab43fa8ef \
-    --hash=sha256:7200c58f3f933ca61e66346667dcc8510bb111995e9ce15398a731e6a4afa4bb \
-    --hash=sha256:7341b08ff8124d7353939778e2707b8732d03c78c1c30e0815aba2dacbe1245a \
-    --hash=sha256:73d664413fb97229149c4711ef56531a6fe8c15c1c2626b0bbe497b84c287e70 \
-    --hash=sha256:76ac6e90f5e226011c88f9b7040a4bcae612518bc7e9adc127e697a13b28ad1a \
-    --hash=sha256:7c392e2c1bf596701d3c6832be7567eab5d5b0a13865036c33365ee097d37f8b \
-    --hash=sha256:7f09a7e5f017d7098c66522097c96257411c9620c0926212200d66bc8cee3976 \
-    --hash=sha256:84f58bed609b5669f5ad3d597901a4f1f86ee5b3c3708aaa55f05b4fe6e0f656 \
-    --hash=sha256:86d980970f5110595ca14855768073b08585fc1acc36895de303e039e7dee4a5 \
-    --hash=sha256:889ca2c072315de638a5194a772aa1fa2df92bdd6175f6a222d4784040424b61 \
-    --hash=sha256:89e89304fb1f8c3f0ecfa4a7d48f311dd79771336a940e920159d643d1307e77 \
-    --hash=sha256:93793222b524f692f12b2f8752ce8b1d9d9125b2bfd5dbf0fb69c92c5e1ce86c \
-    --hash=sha256:993a88d8fdd8554466a8765cd8bacd97ba56b70ca6b0a04bcdca77f5afed4222 \
-    --hash=sha256:9a05636d7937d0936f271e5ba957fa8d746b5be3c2025caa1a2508f4fe521d40 \
-    --hash=sha256:b1c663ddc641f4192e90511bec61a09bc231e3bbdb996cdc6edbcaa0e528d685 \
-    --hash=sha256:b35bee5ef99e8d227a07829bee2e864fcb65f7c157646fcd8ec8b4b45dd8b88f \
-    --hash=sha256:b42d9496f79e3a728192f05a42d86e36163217b7cdecb3813d0028a0aa6b72d7 \
-    --hash=sha256:c26c71080d35db5002102f5d9ff614d45de02aa1f7802943e691e063e5ee93bc \
-    --hash=sha256:ca670567a5683b7c1670ec03e0ddd5862e10934e92a70751d68d7b7b74ca7f9f \
-    --hash=sha256:d475afc8cbe935ff5944f753d863bba774d7f4e1feaaa4102901e3e053ca5963 \
-    --hash=sha256:d51efede1e58e8b11877536a5518f60e318d8ff69b89ad7b38ee5e431b24d772 \
-    --hash=sha256:d6c78e260b53affe9b395a9d54fc61f101f9521c4d9452c7e9e3718b19e2215b \
-    --hash=sha256:d7828234a13185effb34979e146f9921f2a65dfbbe215e6dbb57d6478fc8e059 \
-    --hash=sha256:d888bdf7335f76878c3c7b264ac1ff089863e211ec81249f9fb5795c2183dc25 \
-    --hash=sha256:d8fc52b85a7b45e474be53eddf08e006d22e381a4e41bcde8e4aa08da0e7d198 \
-    --hash=sha256:db304568c650e9d7039744d3575d0d287754debb2057d7c7b8cdfdc2c487a957 \
-    --hash=sha256:deb01226f012539f3945261ffe1c10aec081a0fa0a5c925419933c70f3ae2d23 \
-    --hash=sha256:ef3b5bb65437a3555c648e706475db01c645559ca80dc8b03e4f202ea757e0d6 \
-    --hash=sha256:f96083adc3dfc1bbf778f2c79654d88115fa07074c97cb724fe9508f12d91c55 \
-    --hash=sha256:fb352e7b8876da1249e72254736d6c58c505fa4e58a3d7e30efca241ca9ca9ce \
-    --hash=sha256:fb4a6c9c537d6ccec9cc4aeae4261bd3cc79b070c67ddc0646f5b1c07fddde42 \
-    --hash=sha256:fe28b64777ddfa0eca9b5f51474034ebe3dcb8324f48f27b28f479085673ae33
+numpy==2.4.6 ; python_version >= "3.11" \
+    --hash=sha256:001fbb8e08d942dd57599e781f2472269ee7f2755fae407b4f67b2f0b17da3f1 \
+    --hash=sha256:0280e0356c0829a18d9de1cb7eee50ec22ca639878d7240307ca0943d73cd2c4 \
+    --hash=sha256:043191bfa8eab18c776647b62723ac9dddece59743b13f49b2016094129c2b3f \
+    --hash=sha256:06ca2f61ec4385a07a6977c55ba998a4466c123642b4a32694d3128fce18c079 \
+    --hash=sha256:0a041d3d761dc3c35cc56ce0351506a02bcbc25f7b169f652435141a17db9096 \
+    --hash=sha256:0ab0a9c4ffb1a6d95ef519fe4247dba8eb6b18ad93999f76b7f657039acabd47 \
+    --hash=sha256:0c9136e14ed34a9e343a31c533d78a9813a69a3148332bce5e9821cb2f996e66 \
+    --hash=sha256:110f8b71aacb688ec69062bb7f6938a0f8acb01b7c1c4beb453c65b6d234584d \
+    --hash=sha256:112b06a867b235ef466ed3508ddf0238050df9c727cafb5301ac385b899189a1 \
+    --hash=sha256:17f9ade344e7d9b464a084d69bcf18fc691cb1db67c62ed80820bf4926d78f0e \
+    --hash=sha256:1e254a00cdf42b1e4d5b3d68d33af63268d41340d8885df2ab6470f2e1500147 \
+    --hash=sha256:1e978ec1e8bd0e0e4de6bb75de9d30cbb74db6b6a2bb727618613703ca0167dd \
+    --hash=sha256:25c692919ac5a01f170a3bfcd62d745b24fd095c353d50812637d6fcab442e75 \
+    --hash=sha256:260a5d70215b61ab4fadf5c7baacd64821842975eea312125ed3c39a6391b063 \
+    --hash=sha256:2803abfebfc990042cd494d8ce2d5f82e9d847af6d35ec486923aa19dbad5e73 \
+    --hash=sha256:29a287e0cf63ff528da061de6b9f64a4618da591ca1046aafc54062e40ca7eab \
+    --hash=sha256:29cb7f67d10b479ff07c17d33e39f78c07f71c40ef30d63c153d340e96cd3fb4 \
+    --hash=sha256:3213d622a0283a39a93d188f3cf72b26862df52fbb4ca3697f51705016523d41 \
+    --hash=sha256:33111801a01c12a8a1e3721f0a9232f8cfc8ae2c6b7098167e6f623c6073f402 \
+    --hash=sha256:357cc07a6d7b0b182ff02249616a03742827ebb1277546b5c7cd7f7620a45698 \
+    --hash=sha256:38efbc8de75c7a0fc1ac190162d892787f3f47b57cc291231aafee36b80982b7 \
+    --hash=sha256:4081eb135ac24158bd51cdfbef16f1c64df7063b1143f24731387137c092bec8 \
+    --hash=sha256:40fdc1ae7125e518ea98e53e69a4ebc27e1fd50510c47b7ea130cf21e5e1d42b \
+    --hash=sha256:4cfe66903cc32a9921a6733d96b19bb6abf310397581bbad89c228f5abaf0ee8 \
+    --hash=sha256:511dbaf848decaaaf4b4ca48032619fb3138710c4bf7da7617765edad1ef96b0 \
+    --hash=sha256:55cced7c52e981362f708ad635198e97a752dfba412cc03c23bbf3bd8d5cd662 \
+    --hash=sha256:56b39e5e0622a09a25bf5baf62f4bcf0cb8a41ae6e2819cf49bbc5a74c083f91 \
+    --hash=sha256:5dbbdb29840ca3d91ee0fece42fc29278886d908280bfec0a5846c6f901a3eb0 \
+    --hash=sha256:5f9fb9157b4ce2971008323afe46053787b526ef624fea915b261468a8421a0f \
+    --hash=sha256:6180d8b35af935aed8ece3a85e0a43f87393ae0ac87c8d2c8bd2c993f7270ef3 \
+    --hash=sha256:68a5124b13fa6cc2086764a20005d30bc0548146f7f5322f02fce212ca14317f \
+    --hash=sha256:68bb27509ac1b9a3443094260f6326150663b06abe40b73a2f81160623da5b67 \
+    --hash=sha256:6f41ae150c4e32db4f3310cdaf64b1593a03dbabe29eec77fc9b50fe64061df6 \
+    --hash=sha256:7265a2f3d436e54ef9f2b52b5c937e6be778781bd97a590319d7348f1c1ca997 \
+    --hash=sha256:72fbe16c6fac95aedf5937fa873445cec2110be35d8a4e9433d7501fd98dae6b \
+    --hash=sha256:7d92c3819208a60205a12a245c91ad70cb0a85336659b19b834205573ac8456e \
+    --hash=sha256:8155154c7c691289fe18f510b5d4657c68c67989f293f0535a91360392ff6538 \
+    --hash=sha256:81a1cca95ed5bb92aa8b10dd2cdc9a0d3853a50fad926c28b5d7e8ea54389627 \
+    --hash=sha256:89cd468399cfd2504718f0ba50e410dca55a170b61a02ad92bb18c8a65186e93 \
+    --hash=sha256:8ad03c0965fb3c692200e74d458ca28c1dbb4ce96f9a479a8aa041ad5fabca02 \
+    --hash=sha256:90f9849678c75fe7afa2d348ac842c168b0a4d3d61919687216dfc547976d853 \
+    --hash=sha256:948424b06129ce883307e8cff868c31396d8dc7630a59c61d70d98dbe70f222c \
+    --hash=sha256:9cd5ffd25db4e7ba6a375693b3fc0fc1791ec636c17db3720da19bde7180ec43 \
+    --hash=sha256:a0df0043bdb289bde1f62da130d20df23d58b45429f752bc7a8fc5325a225ecd \
+    --hash=sha256:a2c306dea656c12c68f51f4cea133cbe78ca7435eb28c735eac1d3ebe73be6e8 \
+    --hash=sha256:a7830bab239b79cda9c08c2da014761cafb48da6150e1da17ac06283f43b6089 \
+    --hash=sha256:a7c711e21628b52034bb5ab8d1bce291f752fcc5e92accc615778acee1ff4778 \
+    --hash=sha256:aaf159caa35993cb1f56fb9b8e4610d35758e7ca005412eb1daa856a78c9c4b1 \
+    --hash=sha256:ae506e6902902557576a26ff33eda8695e7ecb3cb36c3b573a0765dee114ebdb \
+    --hash=sha256:b507f5c4c1d508876d1819b6bf9a49d365b96320b5d4993426b33a23ca4b8261 \
+    --hash=sha256:bf162abab1c1a736333192707cef898e735a5ca00f38f27eeedf44b39d9e85eb \
+    --hash=sha256:c1a2af6c6ef86344a6b0db6b97834208bf598db514f2b155042439b62605601a \
+    --hash=sha256:c2d37ab77531417474168eb79d6d80b14f821a966818505d03013d0833edb7a8 \
+    --hash=sha256:c4fc99836233ea196540b17ab0983aff60ed07941751930f5f4d05bc3b3b7359 \
+    --hash=sha256:d581b735e177fdcdce6fed8e7e8880a3fb6ee4e3653a3ac6af01c6f4c03effc5 \
+    --hash=sha256:d6da64deb6b8ed903e7560180a92f2d804ee1ba5eeb849ac2748b8c1aba1f6d7 \
+    --hash=sha256:d8e8286dd7cea7895157318d1b91cdacac64c479f3cbc8dce548331728484751 \
+    --hash=sha256:ddea102b48f9e339f3948bf22040944184627a30fdf7f858667673b9c5f033c8 \
+    --hash=sha256:dfa20cc6ca228e6b155b11da03825975ce66aea520985dbbddf0f2a5a495c605 \
+    --hash=sha256:e3e5193ef5a3dc73bceee50f7fdc2c90dbb76c42df8d8fae3d1067a583df579e \
+    --hash=sha256:e3eeb0aabd6bd5ce64faae67e9935203a6991b4bc2a485a767fbafb2c5125f45 \
+    --hash=sha256:e5805d5a22fd19c8ccff10a9561f9df94436b0545619ea579db2d3c35294bce2 \
+    --hash=sha256:e85b752a1e912b70eaad4fafbd4d1238007ab221de2009b9a2f5ae7461239895 \
+    --hash=sha256:eaf7fa2de5c0be8ae6ff8e9bea2ccd725e980541244521d8d4b5f3354a27babe \
+    --hash=sha256:ebfb099f8dcf083deef3ac1ca4c1503f387cf76296fcb3816b66f5ecb5f54fdb \
+    --hash=sha256:ece3d2cfe132e7d51f44a832b303895e6f2d499c5e74dfbdb06ee246147a304a \
+    --hash=sha256:ed9749eef4cbd126da3dc1d6bcb3a57f5eb7ac6a6484146bdbf743f552dfc577 \
+    --hash=sha256:ede83e07a75dd06bc501566c1eca2afc0d61677c1472ac9ad93fdee6e638a48d \
+    --hash=sha256:ef4aea96ce4d3b074422cb4f2f64e216bf9e213004bb58ecfdf50ea02ea8eb9a \
+    --hash=sha256:f3a3570c4a2a16746ac2c31a7c7c7b0c186b95ce902e33db6f28094ed7387dda \
+    --hash=sha256:f407cb6b8e9d6d8c626bc73c945db1706035af8fd632295547bf1c9e46d092d6 \
+    --hash=sha256:f74a575920ab21fe304421a3fc28793d82e299cae9eccb37084e9fc7f3617c20
 packaging==26.2 ; python_version >= "3.11" \
     --hash=sha256:5fc45236b9446107ff2415ce77c807cee2862cb6fac22b8a73826d0693b0980e \
     --hash=sha256:ff452ff5a3e828ce110190feff1178bb1f2ea2281fa2075aadb987c2fb221661
@@ -126,6 +126,9 @@ pandas==3.0.3 ; python_version >= "3.11" \
 python-dateutil==2.9.0.post0 ; python_version >= "3.11" \
     --hash=sha256:37dd54208da7e1cd875388217d5e00ebd4179249f90fb72437e91a35459a0ad3 \
     --hash=sha256:a8b2bc7bffae282281c8140a97d3aa9c14da0b136dfe83f850eea9a5f7470427
+python-serafin==0.1.0 ; python_version >= "3.11" \
+    --hash=sha256:2afd42ac11bded0182c0e90be7c72c3cf27ed48a45cb712f3b130df78e7edbc3 \
+    --hash=sha256:621a85a99a5352d9335369be8903486b4fb2565559d30707446cb35d5b1b67c8
 six==1.17.0 ; python_version >= "3.11" \
     --hash=sha256:4721f391ed90541fddacab5acf947aa0d3dc7d27b2e1e8eda2be8970586c3274 \
     --hash=sha256:ff70335d468e7eb6ec65b95b99d3a2836546063f63acc5171de367e834932a81
diff --git a/xarray_selafin/Serafin.py b/xarray_selafin/Serafin.py
deleted file mode 100644
index b812fcf..0000000
--- a/xarray_selafin/Serafin.py
+++ /dev/null
@@ -1,1326 +0,0 @@
-"""!
-Adapted from https://github.com/CNR-Engineering/PyTelTools
-
-Read/Write Serafin files and manipulate associated data.
-
-Handles Serafin file with:
-  - single and double precision
-  - big and little endian
-
-The sizes (file, header, frame) are in bytes (8 bits).
-"""
-import copy
-import logging
-import os
-import struct
-
-import numpy as np
-
-from .variable.variables_2d import VARIABLES_2D
-from .variable.variables_3d import VARIABLES_3D
-
-# from .conf import settings
-
-logger = logging.getLogger(__name__)
-
-
-# Default language for variables
-LANG = "en"
-
-# Encoding Information Type (EIT) for Serafin title, variable names and units
-SLF_EIT = "iso-8859-1"
-
-
-VARIABLES_ID_2D, VARIABLES_ID_3D = {"fr": {}, "en": {}}, {"fr": {}, "en": {}}
-
-
-def build_variables_table():
-    base_folder = os.path.dirname(os.path.realpath(__file__))
-    for dic, name in zip(
-        [VARIABLES_ID_2D, VARIABLES_ID_3D], ["Serafin_var2D.csv", "Serafin_var3D.csv"]
-    ):
-        with open(os.path.join(base_folder, "data", name), "r") as f:
-            f.readline()  # header
-            for line in f.readlines():
-                var_id, var_name_fr, var_name_en, _ = line.rstrip().split(";")
-                dic["fr"][var_name_fr] = var_id
-                dic["en"][var_name_en] = var_id
-
-
-build_variables_table()
-
-
-class SerafinValidationError(Exception):
-    """!
-    @brief Custom exception for Serafin file content check
-    """
-
-    def __init__(self, message):
-        """!
-        @param message <str>: error message description
-        """
-        super().__init__(message)
-        self.message = message
-        logger.error("SERAFIN VALIDATION ERROR: %s" % message)
-
-
-class SerafinRequestError(Exception):
-    """!
-    @brief Custom exception for requesting invalid values from Serafin object
-    """
-
-    def __init__(self, message):
-        """!
-        @param message <str>: error message description
-        """
-        super().__init__(message)
-        self.message = message
-        logger.error("SERAFIN REQUEST ERROR: %s" % message)
-
-
-class SerafinHeader:
-    """!
-    @brief: Data type for reading and storing the Serafin file header
-
-    # Attributes:
-    ## Sizes
-    - file_size <int>: total file size
-    - header_size <int>: size taken by header only (set by `_set_header_size`)
-    - frame_size <int>: size taken by a single frame (set by `_set_frame_size`)
-
-    ## Float precision: simple or double precision
-        (attributes are set by `_set_as_single_precision` or `_set_as_double_precision`)
-    - float_type <str>: 'f' or 'd'
-    - float_size <int>: 4 or 8
-    - np_float_type: np.float32 or np.float64
-
-    - endian <str>: file endianness ('>' = big-endian, '<' = little-endian)
-
-    - title <bytes:72>: title of the simulation
-    - file_format <bytes:8>: file format type (e.g. b'SERAFIN ')
-    - language <str>: language for variables ('fr' or 'en')
-
-    - is_2d <bool>: True in 2D else False
-    - has_knolg <bool>: True if ipobo is replaced by KNOLG array
-    - date <[int]>: list with 6 integers (year, month, day, hour, minute and second) or None if not available
-    - nb_frames <int>: number of frames
-
-    - nb_var <int>: number of variables
-    - nb_var_quadratic <int>: ?
-    - nb_nodes_per_elem <int>: number of nodes per element
-    - nb_planes <int>: number of layers (should be 0 in 2D)
-
-    - var_IDs <[str]>: variable identifiers
-    - var_names <[str]>: variable names
-    - var_units <[str]>: variable units
-
-    - params <(int)>: tuple of 10 integer parameters
-    - nb_elements <int>: number of 3D elements
-    - nb_nodes <int>: number of 3D nodes
-    - nb_nodes_per_elem <int>: number of nodes per element (= 3 in 2D and 6 in 3D)
-    - nb_nodes_2d <int>: number of 2D nodes (equals to `nb_nodes` in 2D)
-
-    - mesh_origin <(int, int)>: x and y shift to apply to written coordinates (set by `set_mesh_origin`)
-    - x_stored <numpy.1D-array>: east written coordinates [shape = nb_nodes]
-    - y_stored <numpy.1D-array>: north written coordinates [shape = nb_nodes]
-    - x <numpy.1D-array>: east coordinates [shape = nb_nodes] (set by `_compute_mesh_coordinates`)
-    - y <numpy.1D-array>: north coordinates [shape = nb_nodes] (set by `_compute_mesh_coordinates`)
-    - ikle <numpy.1D-array>: connectivity table with 1-indexed nodes number [shape = nb_nodes_per_elem * nb_elements]
-    - ikle_2d <numpy.2D-array>: reshaped connectivity table
-        [shape = (nb_elements, nb_nodes_per_elem)] (set by `_build_ikle_2d`)
-    - ipobo <numpy.1D-array>: array with 0 values for inner nodes and 1-indexed node number for boundary nodes
-        [shape = nb_nodes]
-    """
-
-    def __init__(self, title="", format_type="SERAFIN ", lang=LANG, endian=">"):
-        """
-        @param title <str>: title of the simulation
-        @param format_type <str>:
-        @param lang <str>: language for variables
-        """
-        self.file_size = -1
-        self.header_size = -1
-        self.frame_size = -1
-
-        self.float_type = ""
-        self.float_size = -1
-        self.np_float_type = None
-
-        self.endian = endian
-
-        self.title = bytes(title, SLF_EIT).ljust(72)
-        self.file_format = b"".ljust(8)
-        self._set_file_format_and_precision(format_type)
-
-        if lang not in ("fr", "en"):
-            raise SerafinRequestError(
-                "Language (for Serafin variables) %s is not implemented" % lang
-            )
-        self.language = lang
-
-        self.is_2d = True
-        self.has_knolg = False
-        self.date = None
-
-        self.nb_var = 0
-        self.nb_var_quadratic = 0
-        self.nb_planes = 0
-        self.nb_frames = 0
-
-        self.var_IDs = []
-        self.var_names = []
-        self.var_units = []
-
-        self.params = (1, 0, 0, 0, 0, 0, 0, 0, 0, 0)
-        self.nb_elements = -1
-        self.nb_nodes = -1
-        self.nb_nodes_per_elem = -1
-        self.nb_nodes_2d = -1
-
-        self.mesh_origin = (0, 0)
-        self.x_stored = None
-        self.y_stored = None
-        self.x = None
-        self.y = None
-        self.ikle = None
-        self.ikle_2d = None
-        self.ipobo = None
-
-    @property
-    def np_type(self):
-        return np.dtype(self.np_float_type).newbyteorder(self.endian)
-
-    def _check_dim(self):
-        # verify data consistence and determine 2D or 3D
-        if self.is_2d:
-            if self.nb_nodes_per_elem not in (1, 3):
-                raise SerafinValidationError("Unknown mesh type")
-        else:
-            if self.nb_nodes_per_elem != 6:
-                raise SerafinValidationError(
-                    "The number of nodes per element is not equal to 6"
-                )
-            if self.nb_planes < 2:
-                raise SerafinValidationError("The number of planes is less than 2")
-
-    def _set_file_format_and_precision(self, file_format):
-        """!
-        @brief: Set some attributes to read/write single or double precision Serafin depending on file format
-        @file_format <str>: Serafin file format (max length is 8)
-        If file format is not recognized, the file is expected to be simple precision
-        """
-        self.file_format = bytes(file_format, SLF_EIT).ljust(8)
-        if file_format in ("SERAFIND", "SELAFIND", "       D"):
-            self._set_as_double_precision()
-        else:
-            if file_format not in ("SERAFIN ", "SERAFINS", "SELAFIN ", "SERAPHIN"):
-                logger.warning(
-                    'Format "%s" is unknown and is forced to "SERAFIN "' % file_format
-                )
-                self.file_format = bytes("SERAFIN", SLF_EIT).ljust(8)
-            self._set_as_single_precision()
-
-    def _set_has_knolg(self):
-        self.has_knolg = self.params[7] != 0 or self.params[8] != 0
-
-    def compute_ikle(self, nb_planes, nb_nodes_per_elem):
-        ikle_bottom_pattern = np.concatenate(
-            (self.ikle_2d, self.ikle_2d + self.nb_nodes_2d), axis=1
-        )
-        ikle = np.empty(
-            (nb_planes - 1, self.nb_elements // (nb_planes - 1), nb_nodes_per_elem),
-            dtype=np.int64,
-        )
-        for i in range(nb_planes - 1):
-            ikle[i] = ikle_bottom_pattern + i * self.nb_nodes_2d
-        return ikle.flatten()
-
-    def build_params(self):
-        self.params = (
-            1,
-            0,
-            self.mesh_origin[0],
-            self.mesh_origin[1],
-            0,
-            0,
-            self.nb_planes,
-            0,
-            0,
-            0 if self.date is None else 1,
-        )
-
-    def _build_ikle_2d(self):
-        if self.is_2d:
-            self.ikle_2d = self.ikle.reshape(self.nb_elements, self.nb_nodes_per_elem)
-        else:
-            ikle = self.ikle.reshape(self.nb_elements, self.nb_nodes_per_elem)
-            self.ikle_2d = np.empty(
-                [self.nb_elements // (self.nb_planes - 1), 3], dtype=np.int64
-            )
-            nb_lines = self.ikle_2d.shape[0]
-            # test the integer division
-            if nb_lines * (self.nb_planes - 1) != self.nb_elements:
-                raise SerafinValidationError(
-                    "The number of elements is not divisible by (number of planes - 1)"
-                )
-            for i in range(nb_lines):
-                self.ikle_2d[i] = ikle[i, [0, 1, 2]]
-
-    def _set_as_single_precision(self):
-        """Set Serafin as single precision"""
-        self.float_type = "f"
-        self.float_size = 4
-        self.np_float_type = np.float32
-
-    def _set_as_double_precision(self):
-        """Set Serafin as double precision"""
-        self.float_type = "d"
-        self.float_size = 8
-        self.np_float_type = np.float64
-
-    def unpack_int(self, bytes2unpack, nb=1):
-        """
-        Unpack bytes to integer(s)
-        @param bytes2unpack <bytes>: bytes to unpack
-        @param nb <int>: number of consecutive integers
-        @return <(int)>
-        """
-        fmt = self.endian + str(nb) + "i"
-        return struct.unpack(fmt, bytes2unpack)
-
-    def unpack_float(self, bytes2unpack, nb=1):
-        """
-        Unpack bytes to float(s)
-        @param bytes2unpack <bytes>: bytes to unpack
-        @param nb <int>: number of consecutive float
-        @return <(float)>
-        """
-        fmt = self.endian + str(nb) + self.float_type
-        return struct.unpack(fmt, bytes2unpack)
-
-    def pack_int(self, *args, nb=1):
-        """
-        Pack integers
-        @param args <(int)>: integers to pack
-        @param nb <int>: number of integer values
-        @return <bytes>
-        """
-        fmt = self.endian + str(nb) + "i"
-        return struct.pack(fmt, *args)
-
-    def pack_float(self, *args, nb=1):
-        """
-        Pack floats
-        @param args <(float)>: floats to pack
-        @param nb <int>: number of float values
-        @return <bytes>
-        """
-        fmt = self.endian + str(nb) + self.float_type
-        return struct.pack(fmt, *args)
-
-    def toggle_endianness(self):
-        """Toggle original endianness (between big or little endian)"""
-        if self.endian == ">":
-            self.endian = "<"
-        else:
-            self.endian = ">"
-        logger.debug(
-            "Toggle endianness to %s" % ("big" if self.endian == ">" else "litte")
-        )
-
-    def _compute_mesh_coordinates(self):
-        """Compute mesh coordinates from origin"""
-        # if settings.ENABLE_MESH_ORIGIN:
-        self.x = self.mesh_origin[0] + self.x_stored
-        self.y = self.mesh_origin[1] + self.y_stored
-        # else:
-        # self.x = self.x_stored
-        # self.y = self.y_stored
-
-    def _set_header_size(self):
-        """Set header size"""
-        nb_ikle_values = self.nb_elements * self.nb_nodes_per_elem
-        coord_size = self.nb_nodes * self.float_size
-        self.header_size = (
-            (80 + 8)
-            + (8 + 8)
-            + (self.nb_var * (8 + 32))
-            + (40 + 8)
-            + (self.params[-1] * ((6 * 4) + 8))
-            + (16 + 8)
-            + (nb_ikle_values * 4 + 8)
-            + (self.nb_nodes * 4 + 8)
-            + 2 * (coord_size + 8)
-        )
-
-    def _set_frame_size(self):
-        """Set frame size (all variable values for one time step)"""
-        self.frame_size = (
-            8 + self.float_size + (self.nb_var * (8 + self.nb_nodes * self.float_size))
-        )
-
-    def _expected_file_size(self):
-        """Returns expected file size"""
-        return self.header_size + self.nb_frames * self.frame_size
-
-    def summary(self):
-        template = (
-            "The file is of type {} {}. It has {} variable{}{},\n"
-            "on {} nodes and {} elements for {} time frame{}."
-        )
-        return template.format(
-            self.file_format.decode(SLF_EIT),
-            {True: "2D", False: "3D"}[self.is_2d],
-            self.nb_var,
-            ["", "s"][self.nb_var > 1],
-            "" if self.is_2d else ", %d layers" % self.nb_planes,
-            self.nb_nodes,
-            self.nb_elements,
-            self.nb_frames,
-            ["", "s"][self.nb_frames > 1],
-        )
-
-    def copy(self):
-        """Returns a deep copy of the current instance"""
-        return copy.deepcopy(self)
-
-    def copy_as_2d(self):
-        """!
-        Returns a 2D equivalent copy of the current instance
-        @return <slf.Serafin.SerafinHeader>: output Serafin header
-        """
-        if self.is_2d:
-            raise SerafinRequestError(
-                "Cannot convert header to a 2D equivalent because the input is not 3D"
-            )
-
-        ori_params = self.params
-        nb_planes = self.nb_planes
-        new_header = self.copy()
-
-        # Overwrites relevant attributes
-        new_header.nb_planes = 0
-        new_params = list(ori_params)
-        new_params[6] = new_header.nb_planes
-        new_header.params = tuple(new_params)
-        new_header.is_2d = True
-        new_header.nb_elements //= nb_planes - 1
-        new_header.nb_nodes //= nb_planes
-        new_header.nb_nodes_per_elem = 3
-        new_header.nb_nodes_2d = new_header.nb_nodes
-        npd = new_header.nb_nodes_per_elem
-        new_header.ikle = np.take(
-            self.ikle,
-            [2 * npd * i + j for i in range(new_header.nb_elements) for j in range(3)],
-        )
-        new_header.ipobo = self.ipobo[: self.nb_nodes_2d]
-        new_header.x_stored = self.x_stored[: self.nb_nodes_2d]
-        new_header.y_stored = self.y_stored[: self.nb_nodes_2d]
-        new_header._compute_mesh_coordinates()
-
-        # Update sizes
-        new_header._set_header_size()
-        new_header._set_frame_size()
-        new_header.file_size = new_header._expected_file_size()
-
-        return new_header
-
-    def copy_as_3d(self, nb_planes):
-        """!
-        Returns a 3D equivalent copy of the current instance
-        @param nb_planes <int>: number of planes
-        @return <slf.Serafin.SerafinHeader>: output Serafin header
-        """
-        if not self.is_2d:
-            raise SerafinRequestError(
-                "Cannot convert header to a 3D equivalent because the input is not 2D"
-            )
-        if nb_planes < 2:
-            raise SerafinRequestError("A 3D file has to contain at least 2 planes")
-        ori_params = self.params
-        new_header = self.copy()
-
-        # Overwrites relevant attributes
-        new_header.nb_planes = nb_planes
-        new_params = list(ori_params)
-        new_params[6] = new_header.nb_planes
-        new_header.params = tuple(new_params)
-        new_header.is_2d = False
-        new_header.nb_elements *= nb_planes - 1
-        new_header.nb_nodes *= nb_planes
-        new_header.nb_nodes_per_elem = 6
-
-        ikle_bottom_pattern = np.concatenate(
-            (self.ikle_2d, self.ikle_2d + new_header.nb_nodes_2d), axis=1
-        )
-        ikle = np.empty(
-            (nb_planes - 1, self.nb_elements, new_header.nb_nodes_per_elem),
-            dtype=np.int64,
-        )
-        for i in range(nb_planes - 1):
-            ikle[i] = ikle_bottom_pattern + i * new_header.nb_nodes_2d
-        new_header.ikle = ikle.flatten()
-        new_header._build_ikle_2d()
-
-        ipobo = np.empty((nb_planes, new_header.nb_nodes_2d), dtype=np.int64)
-        for i in range(nb_planes):
-            ipobo[i] = self.ipobo + i * self.ipobo.max()
-            ipobo[i][self.ipobo == 0] = 0
-        new_header.ipobo = ipobo.flatten()
-
-        new_header.x_stored = np.tile(self.x_stored, nb_planes)
-        new_header.y_stored = np.tile(self.y_stored, nb_planes)
-        new_header._compute_mesh_coordinates()
-
-        # Update sizes
-        new_header._set_header_size()
-        new_header._set_frame_size()
-        new_header.file_size = new_header._expected_file_size()
-
-        return new_header
-
-    def nearest_node(self, target_x, target_y):
-        """!
-        Find the nearest node of a target point (from x and y coordinates)
-        @param target_x <float>: east target coordinate
-        @param target_y <float>: north target coordinate
-        @return <int>: node number (1-indexed)
-        """
-        dist = np.sqrt(np.power(self.x - target_x, 2) + np.power(self.y - target_y, 2))
-        return np.argmin(dist) + 1
-
-    def same_2d_mesh(self, other):
-        """!
-        @brief: Check if the other mesh is strictly identical (same order of nodes and elements) on the horizontal
-        @param other <SerafinHeader>: header to compare
-        @return: bool
-        """
-        # Speedup in comparing by increasing complexity
-        if (
-            self.nb_nodes_2d != other.nb_nodes_2d
-            or self.nb_elements != other.nb_elements
-        ):
-            return False
-        elif np.all(self.x_stored != other.x_stored) or np.all(
-            self.y_stored != other.y_stored
-        ):
-            return False
-        elif np.all(self.ikle != other.ikle) or np.all(self.ipobo != other.ipobo):
-            return False
-        else:
-            return True
-
-    def is_double_precision(self):
-        return self.float_type == "d"
-
-    def to_single_precision(self):
-        self.file_format = bytes("SERAFIN", SLF_EIT).ljust(8)
-        self.float_type = "f"
-        self.float_size = 4
-        self.np_float_type = np.float32
-        self._set_frame_size()
-        self._set_header_size()
-        self.file_size = self._expected_file_size()
-
-    def to_double_precision(self):
-        self.file_format = bytes("SERAFIND", SLF_EIT).ljust(8)
-        self.float_type = "d"
-        self.float_size = 8
-        self.np_float_type = np.float64
-        self._set_frame_size()
-        self._set_header_size()
-        self.file_size = self._expected_file_size()
-
-    def empty_variables(self):
-        """Empty all variables"""
-        self.nb_var = 0
-        self.var_IDs, self.var_names, self.var_units = [], [], []
-
-    def add_variable(self, var_ID, var_name, var_unit):
-        """!
-        @brief: Add a single variable
-        @param var_ID <str>: variables identifier (abbreviation)
-        @param var_name <bytes>: variable name
-        @param var_unit <bytes>: variable unit
-        """
-        self.nb_var += 1
-        self.var_IDs.append(var_ID)
-        self.var_names.append(var_name)
-        self.var_units.append(var_unit)
-
-    def add_variable_str(self, var_ID, var_name, var_unit):
-        """!
-        @brief: Add a single variable with strings
-        @param var_ID <str>: variables identifier (abbreviation)
-        @param var_name <str>: variable name
-        @param var_unit <str>: variable unit
-        """
-        self.nb_var += 1
-        self.var_IDs.append(var_ID)
-        self.var_names.append(bytes(var_name, SLF_EIT).ljust(16))
-        self.var_units.append(bytes(var_unit, SLF_EIT).ljust(16))
-
-    def add_variable_from_ID(self, var_ID):
-        """!
-        @brief: Add new variable from its ID
-        @param var_ID <str>: variable ID
-        """
-        try:
-            if self.is_2d:
-                var_name = VARIABLES_2D[var_ID].name(self.language)
-                var_unit = VARIABLES_2D[var_ID].unit()
-            else:
-                var_name = VARIABLES_3D[var_ID].name(self.language)
-                var_unit = VARIABLES_3D[var_ID].unit()
-        except KeyError:
-            raise SerafinRequestError(
-                'The variable "%s" is not known (lang=%s)' % (var_ID, self.language)
-            )
-        self.add_variable_str(var_ID, var_name, var_unit)
-
-    def set_mesh_origin(self, x, y):
-        """!
-        @brief: Set mesh origin coordinates (Beware: coordinates should be integers!)
-        @param x <int>: X-coordinate of the origin
-        @param y <int>: Y-coordinate of the origin
-        """
-        assert isinstance(x, int) and isinstance(y, int)
-        self.mesh_origin = (x, y)
-        params = list(self.params)
-        params[2] = x
-        params[3] = y
-        self.params = tuple(params)
-
-    def set_variables(self, selected_vars):
-        """!
-        @brief: Set new variables
-        @param selected_vars <[str, bytes, bytes]>: list composed of variable ID, name and unit
-        """
-        self.empty_variables()
-        for var_ID, var_name, var_unit in selected_vars:
-            self.add_variable(var_ID, var_name, var_unit)
-
-    def iter_on_all_variables(self):
-        """!
-        Iterate on variables
-        @return <str, bytes, bytes>: variable ID, name and unit
-        """
-        for var_ID, var_name, var_unit in zip(
-            self.var_IDs, self.var_names, self.var_units
-        ):
-            yield var_ID, var_name, var_unit
-
-    def transform_mesh_copy(self, transformations):
-        """!
-        @brief Apply transformations on 2D nodes of a mesh copy
-        @param transformations <[geom.transformation.Transformation]>: list of successive transformations
-        @return: modified copy of original header with transformed mesh nodes
-        """
-        if not transformations:
-            return self.copy()
-        points = [np.array([x, y, 0]) for x, y in zip(self.x, self.y)]
-        for t in transformations:
-            points = [t(p) for p in points]
-        new_header = self.copy()
-        new_header.x_stored = np.array([p[0] for p in points])
-        new_header.y_stored = np.array([p[1] for p in points])
-        self.set_mesh_origin(0, 0)
-        self._compute_mesh_coordinates()
-        return new_header
-
-    def transform_mesh(self, transformations):
-        """!
-        @brief Apply transformations on mesh nodes (only in 2D)
-        @param transformations <[geom.transformation.Transformation]>: list of successive transformations
-        """
-        if not transformations:
-            return
-        points = [np.array([x, y, 0]) for x, y in zip(self.x, self.y)]
-        for t in transformations:
-            points = [t(p) for p in points]
-        self.x_stored = np.array([p[0] for p in points])
-        self.y_stored = np.array([p[1] for p in points])
-        self.set_mesh_origin(0, 0)
-        self._compute_mesh_coordinates()
-
-    def is_ccw(self, vertices):
-        """!
-        @brief return True if the boundary is counter-clockwise (only in 2D)
-        @param vertices <[float]>: list of coordinates
-        """
-        v = np.array(vertices)
-        x = v[:, 0]
-        y = v[:, 1]
-        return np.dot(x, np.roll(y, 1)) - np.dot(y, np.roll(x, 1)) < 0
-
-    def get_all_edges(self):
-        """Get all edges (pair of nodes)"""
-        edges = np.zeros((3 * len(self.ikle_2d), 2), dtype=np.int64)
-        for i, (n1, n2, n3) in enumerate(self.ikle_2d):
-            edges[3 * i, :] = [n1, n2]
-            edges[3 * i + 1, :] = [n2, n3]
-            edges[3 * i + 2, :] = [n3, n1]
-        return edges
-
-    def get_external_edges(self):
-        """Get external edges (pair of nodes)"""
-        edges = self.get_all_edges()
-        # Trick to identify unique pair of nodes (even if node orders might differ) in defining a strange function
-        edges_multi = edges[:, 0] * edges[:, 1] / (edges[:, 0] + edges[:, 1])
-        unique, unique_inverse, unique_counts = np.unique(
-            edges_multi, return_inverse=True, return_counts=True
-        )
-        # A boundary node is connected only once to another node (not twice!)
-        boundary_edges = edges[unique_counts[unique_inverse] == 1]
-        return boundary_edges
-
-    def iter_on_boundaries(self):
-        """
-        Iterate over all boundaries to get the nodes describing them
-        Each element is an ordered list of nodes (1-indexed numbering)
-
-        How boundaries are defined:
-        - the first boundary is the external boundary and then the islands (internal boundaries) are described
-            in an arbitrary order
-        - the external boundary is described counter-clockwise
-        - the islands are described clockwise
-        - the first boundary node should be the node with the minimum value of x+y (corresponds to the bottom left corner)
-        """
-        boundary_edges = self.get_external_edges()
-
-        # Build boundaries by iteration on all boundary edges (for each boundary, from first node until it loops)
-        id_boundary = 1
-        while len(boundary_edges) != 0:
-            boundary_nodes = np.unique(
-                boundary_edges.flatten()
-            )  # Node numbering 1-indexed
-            x_plus_y = self.x[boundary_nodes - 1] + self.y[boundary_nodes - 1]
-
-            # current_boundary_nodes, first_node, prev_node and next_node contain 1-indexed node(s)
-            first_node = boundary_nodes[np.argmin(x_plus_y)]
-            logger.debug(
-                "Build new boundary from node %i among %i nodes"
-                % (first_node, len(boundary_nodes))
-            )
-            prev_node = copy.deepcopy(first_node)
-            next_node = -1
-
-            # Build list of nodes describing the boundary (/!\ first and last node are explicitly duplicated):
-            current_boundary_nodes = [first_node]
-            while next_node != first_node:
-                try:
-                    index = np.where(boundary_edges == prev_node)[0][0]
-                except IndexError:
-                    logger.critical(np.where(boundary_edges == prev_node))
-                    raise SerafinRequestError(
-                        "Unexpected error while determining next boundary node after node %i"
-                        % prev_node
-                    )
-                n1, n2 = boundary_edges[index, :]
-                boundary_edges = np.delete(boundary_edges, index, axis=0)
-                next_node = n1 if n2 == prev_node else n2
-                prev_node = next_node
-                current_boundary_nodes.append(next_node)
-
-            # Determine if boundary is clock-wise
-            if len(current_boundary_nodes) > 2:
-                boundary_geom = [
-                    (self.x[n - 1], self.y[n - 1]) for n in current_boundary_nodes[:-1]
-                ]
-
-                ccw = self.is_ccw(boundary_geom)
-            else:
-                ccw = True  # arbitrary value (order can not be defined!)
-
-            # Reverse node ordering (if necessary) and remove last duplicated node
-            if id_boundary == 1:  # this is the first boundary (external)
-                if not ccw:
-                    current_boundary_nodes.reverse()
-            else:  # current boundary is an island
-                if ccw:
-                    current_boundary_nodes.reverse()
-            current_boundary_nodes.pop()
-            logger.debug(
-                "Boundary %i has %i nodes" % (id_boundary, len(current_boundary_nodes))
-            )
-            yield current_boundary_nodes
-            id_boundary += 1
-
-    def build_ipobo(self):
-        """
-        Build IPOBO array containing 0 values for inner nodes and 1-indexed node number for boundary nodes
-        Beware: This method will probably crash if some nodes are duplicated!
-        """
-        ipobo_2d = np.zeros(self.nb_nodes_2d, dtype=np.int64)
-
-        try:
-            id_boundary_node = 0
-            for boundary_nodes in self.iter_on_boundaries():
-                for n in boundary_nodes:
-                    id_boundary_node += 1
-                    ipobo_2d[n - 1] = id_boundary_node
-
-            self.ipobo = ipobo_2d
-            if not self.is_2d:
-                shift_ipobo = np.zeros(self.nb_nodes_2d)
-                shift_ipobo[ipobo_2d > 0] = id_boundary_node
-                for i_plan in range(self.nb_planes):
-                    if i_plan > 0:
-                        self.ipobo = np.concatenate(
-                            (self.ipobo, ipobo_2d + i_plan * shift_ipobo)
-                        )
-        except SerafinRequestError:
-            logger.warning(
-                "The IPOBO table could not be built and set to 0. Check if some nodes are superimposed."
-            )
-            self.ipobo = np.zeros(self.nb_nodes, dtype=np.int64)
-
-    def _set_as_2d(self):
-        """!
-        Beware: nb_nodes_2d has to be consistant
-        """
-        self.is_2d = True
-        self.nb_nodes_2d = self.nb_nodes
-        self.nb_planes = 0
-        self.nb_nodes_per_elem = 3
-
-    def from_triangulation(self, nodes, ikle, ipobo=None):
-        """!
-        Set to Serafin 2D header from a given triangulation
-
-        @param nodes <numpy 2D-array>: x and y coordinates
-        @param ikle <numpy 2D-array>: connectivity table (1-indexed)
-        @param ipobo <numpy 1D-array>: boundary indicator table
-        """
-        assert ikle.min() == 1 and ikle.max() == len(
-            nodes
-        )  # check arrays are 1-indexed
-        self.nb_nodes = nodes.shape[0]
-        self._set_as_2d()
-        self.nb_elements = ikle.shape[0]
-        self.x_stored = nodes[:, 0]
-        self.y_stored = nodes[:, 1]
-        self._compute_mesh_coordinates()
-        self.ikle = ikle.flatten()
-        self._build_ikle_2d()
-        self.build_params()
-        if ipobo is None:
-            self.build_ipobo()
-        else:
-            if ipobo.shape != (len(nodes),):
-                raise SerafinValidationError(
-                    "IPOBO table is not a 1D-array with length of %i." % len(nodes)
-                )
-            self.ipobo = ipobo
-
-    def from_file(self, file, file_size):
-        """!
-        @param file <_io.BufferedReader>: input Serafin stream
-        @param file_size <int>: file size (in bytes)
-        @return <slf.Serafin.SerafinHeader>: output Serafin header
-        """
-        # Check if file is empty (usefull if re-runs after a crash)
-        if self.file_size == 0:
-            raise SerafinValidationError("File is empty (file size is equal to 0)")
-        self.file_size = file_size
-
-        # Determine binary file endianness from first integer
-        first_int_block = file.read(4)
-        if struct.unpack(">i", first_int_block)[0] == 80:
-            self.endian = ">"
-        elif struct.unpack("<i", first_int_block)[0] == 80:
-            self.endian = "<"
-        else:
-            raise SerafinValidationError("File endianness could not be determined")
-
-        # Read title
-        self.title = file.read(72)
-        file_format = file.read(8)
-        file.read(4)
-
-        try:
-            data_format = file_format.decode(SLF_EIT)
-        except UnicodeDecodeError:
-            raise SerafinValidationError("File type is unreadable: %s" % file_format)
-        self._set_file_format_and_precision(data_format)
-
-        # Read the number of linear and quadratic variables
-        file.read(4)
-        self.nb_var = self.unpack_int(file.read(4), 1)[0]
-        self.nb_var_quadratic = self.unpack_int(file.read(4), 1)[0]
-        file.read(4)
-        if self.nb_var_quadratic != 0:
-            raise SerafinValidationError(
-                "The number of quadratic variables is not equal to zero"
-            )
-
-        # Read variable names and units
-        for _ in range(self.nb_var):
-            file.read(4)
-            self.var_names.append(file.read(16))
-            self.var_units.append(file.read(16))
-            file.read(4)
-
-        # IPARAM: 10 integers (not all are useful...)
-        file.read(4)
-        self.params = self.unpack_int(file.read(40), 10)
-        file.read(4)
-        self.mesh_origin = self.params[2], self.params[3]
-        self.nb_planes = self.params[6]
-
-        self.is_2d = self.nb_planes == 0
-
-        if self.params[-1] == 1:
-            # Read 6 integers which correspond to simulation starting date
-            file.read(4)
-            self.date = self.unpack_int(file.read(6 * 4), 6)
-            file.read(4)
-        else:
-            self.date = None
-
-        self._set_has_knolg()
-
-        # 4 very important integers
-        file.read(4)
-        self.nb_elements = self.unpack_int(file.read(4), 1)[0]
-        self.nb_nodes = self.unpack_int(file.read(4), 1)[0]
-        self.nb_nodes_per_elem = self.unpack_int(file.read(4), 1)[0]
-        test_value = self.unpack_int(file.read(4), 1)[0]
-        if test_value != 1:
-            raise SerafinValidationError("The magic number is not equal to one")
-        file.read(4)
-
-        self._check_dim()
-
-        # determine the number of nodes in 2D
-        if self.is_2d:
-            self.nb_nodes_2d = self.nb_nodes
-        else:
-            self.nb_nodes_2d = self.nb_nodes // self.nb_planes
-
-        # IKLE
-        file.read(4)
-        nb_ikle_values = self.nb_elements * self.nb_nodes_per_elem
-        self.ikle = np.frombuffer(
-            file.read(4 * nb_ikle_values),
-            dtype=np.dtype(np.int32).newbyteorder(self.endian),
-        )
-        file.read(4)
-
-        # IPOBO
-        file.read(4)
-        self.ipobo = np.frombuffer(
-            file.read(4 * self.nb_nodes),
-            dtype=np.dtype(np.int32).newbyteorder(self.endian),
-        )
-        # A valid IPOBO should not be equal to zero array
-        if not np.any(self.ipobo):
-            logger.warning("The IPOBO array seems corrupted (zeros array). Try to rebuild it with `build_ipobo()`.")
-        file.read(4)
-
-        # x coordinates
-        file.read(4)
-        coord_size = self.nb_nodes * self.float_size
-        self.x_stored = np.frombuffer(file.read(coord_size), dtype=self.np_type)
-        file.read(4)
-
-        # y coordinates
-        file.read(4)
-        self.y_stored = np.frombuffer(file.read(coord_size), dtype=self.np_type)
-        file.read(4)
-
-        self._compute_mesh_coordinates()
-
-        # Compute and set header and frame sizes
-        self._set_header_size()
-        self._set_frame_size()
-
-        # Deduce the number of frames and test the integer division
-        self.nb_frames = (self.file_size - self.header_size) // self.frame_size
-
-        diff_size = self.file_size - self.header_size - self.frame_size * self.nb_frames
-        # A difference of only one byte is tolerated.
-        # Indeed some old files may contain an ending \x0A character (Linux line feed)
-        if diff_size != 0 and diff_size != 1:
-            raise SerafinValidationError(
-                "Something wrong with the file size (header and frames). "
-                "File is probably corrupted, difference of %i bytes" % diff_size
-            )
-
-        # Deduce variable IDs from names
-        var_table = (
-            VARIABLES_ID_2D[self.language]
-            if self.is_2d
-            else VARIABLES_ID_3D[self.language]
-        )
-        for var_name in self.var_names:
-            name = var_name.decode(encoding=SLF_EIT).strip()
-            if name not in var_table:
-                # slf_type = "2D" if self.is_2d else "3D"
-                var_id = name
-            else:
-                var_id = var_table[name]
-            self.var_IDs.append(var_id)
-
-        self._build_ikle_2d()
-
-        return self
-
-
-class Serafin:
-    """!
-    @brief A Serafin object corresponds to a single Serafin in file IO stream
-
-    # Attributes:
-    - language <str>: language for variables ('fr' or 'en')
-    - mode <str>: file open mode
-    - file <_io.BufferedReader>: input Serafin stream
-    - filename <str>: path to file
-    - file_size <int>: size of file
-    """
-
-    def __init__(self, filename, mode, language):
-        self.language = language
-        self.mode = mode
-
-        self.file = None  # will be opened when called using `with` statement
-        self.filename = filename
-        self.file_size = None
-
-    def __enter__(self):
-        self.file = open(self.filename, self.mode)
-        return self
-
-    def __exit__(self, *args, **kwargs):
-        self.file.close()
-        return False
-
-
-class Read(Serafin):
-    """!
-    @brief Serafin file input stream
-
-    # Additional attributes:
-    - header <SerafinHeader>: Serafin header
-    - time <[float]>: time series in seconds
-    """
-
-    def __init__(self, filename, language):
-        """!
-        @param filename <str>: path to input Serafin file
-        @param language <str>: Serafin variable name language ('fr' or 'en')
-        """
-        super().__init__(filename, "rb", language)
-        self.header = None
-        self.time = []
-        self.file_size = os.path.getsize(self.filename)
-
-    def unpack_array(self, size, np_type):
-        """!
-        @brief Interpret the buffer file as a 1-dimensional array
-        @param size <int>: size (number of values * number of bytes)
-        @param np_type <np.dtypes.Float32DType>: numpy type format (`>f4` for example)
-        """
-        return np.frombuffer(self.file.read(size), dtype=np_type)
-
-    def read_header(self):
-        """!
-        @brief Read the file header and check the file consistency
-        """
-        self.header = SerafinHeader(lang=self.language)
-        self.header.from_file(self.file, self.file_size)
-
-    def get_time(self):
-        """!
-        @brief Read the time in the Serafin file
-        """
-        if self.header is None:
-            raise SerafinRequestError(
-                "Cannot read time without any header (forgot read_header ?)"
-            )
-        self.file.seek(self.header.header_size, 0)
-        for _ in range(self.header.nb_frames):
-            self.file.read(4)
-            self.time.append(
-                self.header.unpack_float(self.file.read(self.header.float_size), 1)[0]
-            )
-            self.file.read(4)
-            self.file.seek(self.header.frame_size - 8 - self.header.float_size, 1)
-
-    def subset_time(self, start, end, ech):
-        """!
-        @brief Get a subset of the time frames list
-        @param start <float>: starting time (in seconds)
-        @param end <float>: ending time (in seconds)
-        @param ech <int>: sampling frequency
-        @return <[float]>: sampled time serie
-        """
-        new_time = []
-        for time_index, time in enumerate(self.time):
-            if start <= time <= end:
-                if time_index % ech == 0:
-                    new_time.append((time_index, time))
-        return new_time
-
-    def _get_var_index(self, var_ID):
-        """!
-        @brief Handle data request by variable ID
-        @param var_ID <str>: the ID of the requested variable
-        @return index <int> the index of the frame (0-based)
-        """
-        if self.header is None:
-            raise SerafinRequestError(
-                "Cannot extract variable from empty list (forgot read_header ?)"
-            )
-        try:
-            index = self.header.var_IDs.index(var_ID)
-        except ValueError:
-            raise SerafinRequestError("Variable ID %s not found" % var_ID)
-        return index
-
-    def _seek_to_frame(self, time_index, pos_var=0):
-        return self.file.seek(
-            self.header.header_size
-            + time_index * self.header.frame_size
-            + 8
-            + self.header.float_size
-            + pos_var * (8 + self.header.float_size * self.header.nb_nodes),
-            0,
-        )
-
-    def read_var_in_frame(self, time_index, var_ID):
-        """!
-        @brief Read a single variable in a frame
-        @param time_index <int>: the index of the frame (0-based)
-        @param var_ID <str>: variable ID
-        @return <numpy 1D-array>: values of the variables, of length equal to the number of nodes
-        """
-        if time_index < 0:
-            raise SerafinRequestError("Impossible to read a negative time index!")
-        pos_var = self._get_var_index(var_ID)
-        self._seek_to_frame(time_index, pos_var)
-        self.file.read(4)
-        array = self.unpack_array(
-            self.header.float_size * self.header.nb_nodes, self.header.np_type
-        )
-        if len(array) != self.header.nb_nodes:
-            raise SerafinRequestError("CRITICAL ERROR: buffer was truncated (%i vs %i values) while reading"
-                                      % (len(array), self.header.nb_nodes))
-        return array
-
-    def read_vars_in_frame(self, time_index, var_IDs=None):
-        """!
-        @brief Read multiple variables in a frame
-        @param time_index <int>: the index of the frame (0-based)
-        @param var_IDs <[str]>: list of variable IDs (if not present, all variables are considered)
-        @return <numpy 2D-array>: values of the variables with shape (number of variables, number of 2D nodes)
-        """
-        if var_IDs is None:
-            var_IDs = self.header.var_IDs
-        if time_index < 0:
-            raise SerafinRequestError("Impossible to read a negative time index!")
-
-        res = np.empty(
-            (len(var_IDs), self.header.nb_nodes), dtype=self.header.np_float_type
-        )
-        for i, var_ID in enumerate(var_IDs):
-            pos_var = self._get_var_index(var_ID)
-            self._seek_to_frame(time_index, pos_var)
-            self.file.read(4)
-            res[i, :] = self.unpack_array(
-                self.header.float_size * self.header.nb_nodes, self.header.np_type
-            )
-        return res
-
-    def iter_on_all_frames(self):
-        """!
-        @brief iterate over all frames with time and values
-        @return <(float, numpy 2D-array)>: tuple with time and values of the variables with shape
-            (number of variables, number of 2D nodes)
-        """
-        self.file.seek(self.header.header_size, 0)
-
-        res = np.empty(
-            (self.header.nb_var, self.header.nb_nodes), dtype=self.header.np_float_type
-        )
-        for time_index in range(self.header.nb_frames):
-            self.file.read(4)
-            time = self.header.unpack_float(self.file.read(self.header.float_size), 1)[
-                0
-            ]
-            self.file.read(4)
-
-            for i in range(self.header.nb_var):
-                self.file.read(4)
-                res[i, :] = self.unpack_array(
-                    self.header.float_size * self.header.nb_nodes, self.header.np_type
-                )
-                self.file.read(4)
-
-            yield time, res
-
-    def read_var_in_frame_as_3d(self, time_index, var_ID):
-        """!
-        @brief Read a single variable in a 3D frame
-        @param time_index <int>: the index of the frame (0-based)
-        @param var_ID <str>: variable ID
-        @return <numpy 2D-array>: values of the variables with shape (planes number, number of 2D nodes)
-        """
-        if self.header.is_2d:
-            raise SerafinRequestError("Reading values as 3D is only possible in 3D!")
-        new_shape = (self.header.nb_planes, self.header.nb_nodes_2d)
-        return self.read_var_in_frame(time_index, var_ID).reshape(new_shape)
-
-    def read_vars_in_frame_as_3d(self, time_index, var_IDs=None):
-        """!
-        @brief Read multiple variables in a 3D frame
-        @param time_index <int>: the index of the frame (0-based)
-        @param var_IDs <[str]>: list of variable IDs (if not present, all variables are considered)
-        @return <numpy 3D-array>: values of the variables with shape
-            (number of variables, planes number, number of 2D nodes)
-        """
-        if self.header.is_2d:
-            raise SerafinRequestError("Reading values as 3D is only possible in 3D!")
-        if var_IDs is None:
-            var_IDs = self.header.var_IDs
-        new_shape = (len(var_IDs), self.header.nb_planes, self.header.nb_nodes_2d)
-        return self.read_vars_in_frame(time_index, var_IDs).reshape(new_shape)
-
-    def read_var_in_frame_at_layer(self, time_index, var_ID, iplan):
-        """!
-        @brief Read a single variable in a frame at specific layer
-        @param time_index <int>: the index of the frame (0-based)
-        @param var_ID <str>: variable ID
-        @param iplan <int>: 1-based index of layer
-        @return <numpy 1D-array>: values of the variables, of length equal to the number of nodes
-        """
-        if self.header.is_2d:
-            raise SerafinRequestError(
-                "Extracting values at a specific layer is only possible in 3D!"
-            )
-        if iplan < 1 or iplan > self.header.nb_planes:
-            raise SerafinRequestError(
-                "Layer %i is not inside [1, %i]" % (iplan, self.header.nb_planes)
-            )
-        return self.read_var_in_frame_as_3d(time_index, var_ID)[iplan + 1]
-
-
-class Write(Serafin):
-    """!
-    @brief Serafin file output stream
-
-    (No additional attributes)
-    """
-
-    def __init__(self, filename, language, overwrite=False):
-        """!
-        @param filename <str>: path to output Serafin file
-        @param language <str>: Serafin variable name language ('fr' or 'en')
-        @param overwrite <bool>: overwrite if file already exists
-        """
-        mode = "wb" if overwrite else "xb"
-        super().__init__(filename, mode, language)
-        logger.info('Writing the output file: "%s"' % filename)
-
-    def __enter__(self):
-        try:
-            return Serafin.__enter__(self)
-        except FileExistsError:
-            raise SerafinRequestError("Cannot overwrite existing file")
-
-    def write_header(self, header):
-        """!
-        @brief Write Serafin header from attributes
-        """
-        logger.debug(
-            "Writing header with %i nodes, %i elements %s and %i variable %s"
-            % (
-                header.nb_nodes,
-                header.nb_elements,
-                "" if header.is_2d else ", %i layers" % header.nb_planes,
-                header.nb_var,
-                ["", "s"][header.nb_var > 1],
-            )
-        )
-
-        # Title and file type
-        self.file.write(header.pack_int(80))
-        self.file.write(header.title)
-        self.file.write(header.file_format)
-        self.file.write(header.pack_int(80))
-
-        # Number of variables
-        self.file.write(header.pack_int(8))
-        self.file.write(header.pack_int(header.nb_var))
-        self.file.write(header.pack_int(header.nb_var_quadratic))
-        self.file.write(header.pack_int(8))
-
-        # Variable names and units
-        for j in range(header.nb_var):
-            self.file.write(header.pack_int(2 * 16))
-            self.file.write(header.var_names[j].ljust(16))
-            self.file.write(header.var_units[j].ljust(16))
-            self.file.write(header.pack_int(2 * 16))
-
-        # Date
-        self.file.write(header.pack_int(10 * 4))
-        self.file.write(header.pack_int(*header.params, nb=10))
-        self.file.write(header.pack_int(10 * 4))
-        if header.params[-1] == 1:
-            self.file.write(header.pack_int(6 * 4))
-            self.file.write(header.pack_int(*header.date, nb=6))
-            self.file.write(header.pack_int(6 * 4))
-
-        # Number of elements, of nodes, of nodes per element and the magic number
-        self.file.write(header.pack_int(4 * 4))
-        self.file.write(header.pack_int(header.nb_elements))
-        self.file.write(header.pack_int(header.nb_nodes))
-        self.file.write(header.pack_int(header.nb_nodes_per_elem))
-        self.file.write(header.pack_int(1))  # magic number
-        self.file.write(header.pack_int(4 * 4))
-
-        # IKLE
-        nb_ikle_values = header.nb_elements * header.nb_nodes_per_elem
-        self.file.write(header.pack_int(4 * nb_ikle_values))
-        self.file.write(
-            np.array(header.ikle, dtype=np.dtype(np.int32).newbyteorder(header.endian))
-        )
-        self.file.write(header.pack_int(4 * nb_ikle_values))
-
-        # IPOBO
-        self.file.write(header.pack_int(4 * header.nb_nodes))
-        self.file.write(
-            np.array(header.ipobo, dtype=np.dtype(np.int32).newbyteorder(header.endian))
-        )
-        self.file.write(header.pack_int(4 * header.nb_nodes))
-
-        # X coordinates
-        self.file.write(header.pack_int(header.float_size * header.nb_nodes))
-        self.file.write(np.array(header.x_stored, dtype=header.np_type))
-        self.file.write(header.pack_int(header.float_size * header.nb_nodes))
-
-        # Y coordinates
-        self.file.write(header.pack_int(header.float_size * header.nb_nodes))
-        self.file.write(np.array(header.y_stored, dtype=header.np_type))
-        self.file.write(header.pack_int(header.float_size * header.nb_nodes))
-
-    def write_entire_frame(self, header, time_to_write, values):
-        """!
-        @brief write all variables/nodes values
-        @param header <SerafinHeader>: output header
-        @param time_to_write <float>: output time (in seconds)
-        @param values <numpy 2D-array>: values to write, of dimension (nb_var, nb_nodes)
-        """
-        if values.shape != (header.nb_var, header.nb_nodes):
-            raise SerafinValidationError(
-                "Shape of values %s is not consistant with SerafinHeader (%i, %i)"
-                % (str(values.shape), header.nb_var, header.nb_nodes)
-            )
-        self.file.write(header.pack_int(header.float_size))
-        self.file.write(header.pack_float(time_to_write))
-        self.file.write(header.pack_int(header.float_size))
-
-        for i in range(header.nb_var):
-            self.file.write(header.pack_int(header.float_size * header.nb_nodes))
-            self.file.write(np.array(values[i, :], dtype=header.np_type))
-            self.file.write(header.pack_int(header.float_size * header.nb_nodes))
diff --git a/xarray_selafin/data/Serafin_var2D.csv b/xarray_selafin/data/Serafin_var2D.csv
deleted file mode 100644
index 975b466..0000000
--- a/xarray_selafin/data/Serafin_var2D.csv
+++ /dev/null
@@ -1,62 +0,0 @@
-varID;fr;en;unit
-U;VITESSE U;VELOCITY U;M/S             
-V;VITESSE V;VELOCITY V;M/S             
-C;CELERITE;CELERITY;M/S             
-H;HAUTEUR D'EAU;WATER DEPTH;M               
-S;SURFACE LIBRE;FREE SURFACE;M               
-B;FOND;BOTTOM;M               
-F;FROUDE;FROUDE NUMBER;                
-Q;DEBIT SCALAIRE;SCALAR FLOWRATE;M2/S            
-Q;DEBIT Q;FLOWRATE Q;M2/S            
-I;DEBIT SUIVANT X;FLOWRATE ALONG X;M2/S            
-I;DEBIT QX;FLOWRATE QX;M2/S            
-J;DEBIT SUIVANT Y;FLOWRATE ALONG Y;M2/S            
-J;DEBIT QY;FLOWRATE QX;M2/S            
-E;DISSIPATION;DISSIPATION;WATT/KG         
-D;VISCOSITE TURB.;VISCOSITY;M2/S            
-K;ENERGIE TURBUL.;TURBULENT ENERG.;JOULE/KG        
-P;PRESSION ATMOS.;AIR PRESSURE;PASCAL          
-M;VITESSE SCALAIRE;SCALAR VELOCITY;M/S             
-X;VENT X;WIND ALONG X;M/S             
-Y;VENT Y;WIND ALONG Y;M/S             
-W;FROTTEMENT;BOTTOM FRICTION;                
-W;COEFT FROTTEMENT;FRICTION COEFT;
-A;DERIVE EN X;DRIFT ALONG X;M               
-G;DERIVE EN Y;DRIFT ALONG Y;M               
-L;NBRE DE COURANT;COURANT NUMBER;                
-MAXZ;COTE MAXIMUM;HIGH WATER MARK;M               
-TMXZ;TEMPS COTE MAXI;HIGH WATER TIME;S               
-MAXV;VITESSE MAXIMUM;HIGHEST VELOCITY;M/S             
-TMXV;T VITESSE MAXI;TIME OF HIGH VEL;S               
-US;VITESSE DE FROT.;FRICTION VEL.;M/S
-US;VITESSE DE FROT;FRICTION VELOCIT;M/S             
-TAU;CONTRAINTE;BED SHEAR STRESS;PASCAL          
-TAU;FROTTEMENT TOB;BED SHEAR STRESS;PASCAL          
-DMAX;DIAMETRE;DIAMETER;MM
-WH;HAUTEUR HM0;WAVE HEIGHT HM0;M
-PPT;PERIODE PIC TPR5;PEAK PERIOD TPR5;S
-RB;FOND RIGIDE;RIGID BED;M
-THETAW;DIRECTION MOY;MEAN DIRECTION;DEG
-QS;DEBIT SOLIDE;SOLID DISCH;M2/S            
-QSX;DEBIT SOLIDE X;SOLID DISCH X;M2/S            
-QSY;DEBIT SOLIDE Y;SOLID DISCH Y;M2/S 
-QS;DEBIT SOLIDE;SOLID DISCHARGE;M2/S
-QSX;DEBIT SOL EN X;SOLID DIS IN X;M2/S
-QSY;DEBIT SOL EN Y;SOLID DIS IN Y;M2/S
-EV;EVOLUTION;EVOLUTION;M
-EV;EVOLUTION FOND;BED EVOLUTION;M
-KS;RUGOSITE TOTALE.;RUGOSITE TOTALE;M
-KS;RUGOSITE TOTALE;RUGOSITE TOTALE;M
-MU;CORR FROTT PEAU;FROT. PEAU MU;
-D50;DIAMETRE MOYEN;MEAN DIAMETER;M
-UWB;VITESSE FOND;BOTTOM VELOCITY;M/S
-QSBL;QS CHARRIAGE;QS BEDLOAD;M2/S
-QSBLX;QS CHARRIAGE X;QS BEDLOAD X;M2/S
-QSBLY;QS CHARRIAGE Y;QS BEDLOAD Y;M2/S
-QSSUSP;QS SUSPENSION;QS SUSPENSION;M2/S
-QSSUSPX;QS SUSPENSION X;QS SUSPENSION X;M2/S
-QSSUSPY;QS SUSPENSION Y;QS SUSPENSION Y;M2/S
-HD;EPAISSEUR DU LIT;BED THICKNESS;M
-EF;FLUX D'EROSION;EROSION FLUX;KG/M2/S
-DF;FLUX DE DEPOT;DEPOSITION FLUX;KG/M2/S
-FROTP;FROT. PEAU;FROT. PEAU;PASCAL
diff --git a/xarray_selafin/data/Serafin_var3D.csv b/xarray_selafin/data/Serafin_var3D.csv
deleted file mode 100644
index b5662b6..0000000
--- a/xarray_selafin/data/Serafin_var3D.csv
+++ /dev/null
@@ -1,26 +0,0 @@
-varID;fr;en;unit
-Z;COTE Z;ELEVATION Z;M
-U;VITESSE U;VELOCITY U;M/S
-V;VITESSE V;VELOCITY V;M/S
-W;VITESSE W;VELOCITY W;M/S
-NUX;NUX POUR VITESSE;NUX FOR VELOCITY;M2/S
-NUY;NUY POUR VITESSE;NUY FOR VELOCITY;M2/S
-NUZ;NUZ POUR VITESSE;NUZ FOR VELOCITY;M2/S
-K;ENERGIE TURBULEN;TURBULENT ENERGY;JOULE/KG
-EPS;DISSIPATION;DISSIPATION;WATT/KG
-RI;NB DE RICHARDSON;RICHARDSON NUMB;
-RHO;DENSITE RELATIVE;RELATIVE DENSITY;
-DP;PRESSION DYNAMIQ;DYNAMIC PRESSURE;PA
-PH;PRESSION HYDROST;HYDROSTATIC PRES;PA
-UCONV;U CONVECTION;U ADVECTION;M/S
-VCONV;V CONVECTION;V ADVECTION;M/S
-WCONV;W CONVECTION;W ADVECTION;M/S
-DM1;DM1;DM1;
-DHHN;DHHN;DHHN;M
-UCONVC;UCONVC;UCONVC;M/S
-VCONVC;VCONVC;VCONVC;M/S
-UD;UD;UD;M/S
-VD;VD;VD;M/S
-WD;WD;WD;M/S
-M;VITESSE SCALAIRE;SCALAR VELOCITY;M/S
-NU;NU POUR VITESSE;NU FOR VELOCITY;M2/S
diff --git a/xarray_selafin/variable/__init__.py b/xarray_selafin/variable/__init__.py
deleted file mode 100644
index e69de29..0000000
diff --git a/xarray_selafin/variable/variables_2d.py b/xarray_selafin/variable/variables_2d.py
deleted file mode 100755
index 65719eb..0000000
--- a/xarray_selafin/variable/variables_2d.py
+++ /dev/null
@@ -1,371 +0,0 @@
-"""!
-Handle 2D variables and their relationships in Serafin files for additional variable computation
-"""
-
-from .variables_utils import *
-
-
-# define variables
-spec = """S,SURFACE LIBRE,FREE SURFACE,M
-B,FOND,BOTTOM,M
-EV,EVOLUTION FOND,BED EVOLUTION,M
-H,HAUTEUR D'EAU,WATER DEPTH,M
-M,VITESSE SCALAIRE,SCALAR VELOCITY,M/S
-C,CELERITE,CELERITY,M/S
-F,FROUDE,FROUDE NUMBER,
-I,DEBIT SUIVANT X,FLOWRATE ALONG X,M2/S
-J,DEBIT SUIVANT Y,FLOWRATE ALONG Y,M2/S
-Q,DEBIT SCALAIRE,SCALAR FLOWRATE,M2/S
-US,VITESSE DE FROT.,FRICTION VEL.,M/S
-TAU,CONTRAINTE,BED SHEAR STRESS,PASCAL
-DMAX,DIAMETRE,DIAMETER,MM
-W,FROTTEMENT,BOTTOM FRICTION,
-ROUSE,NOMBRE DE ROUSE,ROUSE NUMBER,
-FROTP,FROT. PEAU,FROT. PEAU,PASCAL
-QS,DEBIT SOLIDE,SOLID DISCH,M2/S
-QSX,DEBIT SOLIDE X,SOLID DISCH X,M2/S
-QSY,DEBIT SOLIDE Y,SOLID DISCH Y,M2/S
-QSBL,QS CHARRIAGE,QS BEDLOAD,M2/S
-QSBLX,QS CHARRIAGE X,QS BEDLOAD X,M2/S
-QSBLY,QS CHARRIAGE Y,QS BEDLOAD Y,M2/S
-QSSUSP,QS SUSPENSION,QS SUSPENSION,M2/S
-QSSUSPX,QS SUSPENSION X,QS SUSPENSION X,M2/S
-QSSUSPY,QS SUSPENSION Y,QS SUSPENSION Y,M2/S
-U,VITESSE U,VELOCITY U,M/S
-V,VITESSE V,VELOCITY V,M/S
-HD,EPAISSEUR DU LIT,BED THICKNESS,M
-RB,FOND RIGIDE,RIGID BED,M
-EF,FLUX D'EROSION,EROSION FLUX,KG/M2/S
-DF,FLUX DE DEPOT,DEPOSITION FLUX,KG/M2/S
-MU,CORR FROTT PEAU,FROT. PEAU MU,"""
-
-basic_2D_vars_IDs = [
-    "H",
-    "U",
-    "V",
-    "M",
-    "S",
-    "B",
-    "I",
-    "J",
-    "Q",
-    "C",
-    "F",
-    "US",
-    "TAU",
-    "DMAX",
-    "HD",
-    "RB",
-    "QS",
-    "QSX",
-    "QSY",
-    "QSBL",
-    "QSBLX",
-    "QSBLY",
-    "QSSUSP",
-    "QSSUSPX",
-    "QSSUSPY",
-    "EF",
-    "DF",
-    "MU",
-    "FROTP",
-]
-VARIABLES_2D = build_variables(spec)
-
-(
-    H,
-    U,
-    V,
-    M,
-    S,
-    B,
-    I,
-    J,
-    Q,
-    C,
-    F,
-    US,
-    TAU,
-    DMAX,
-    HD,
-    RB,
-    QS,
-    QSX,
-    QSY,
-    QSBL,
-    QSBLX,
-    QSBLY,
-    QSSUSP,
-    QSSUSPX,
-    QSSUSPY,
-    EF,
-    DF,
-    MU,
-    FROTP,
-    W,
-    ROUSE,
-) = [VARIABLES_2D[var] for var in basic_2D_vars_IDs + ["W", "ROUSE"]]
-
-
-# define basic equations
-BASIC_2D_EQUATIONS = {
-    "H": Equation((S, B), H, MINUS),
-    "S": Equation((H, B), S, PLUS),
-    "B": Equation((S, H), B, MINUS),
-    "M": Equation((U, V), M, NORM2),
-    "I": Equation((H, U), I, TIMES),
-    "J": Equation((H, V), J, TIMES),
-    "Q": Equation((I, J), Q, NORM2),
-    "C": Equation((H,), C, COMPUTE_C),
-    "F": Equation((M, C), F, COMPUTE_F),
-    "HD": Equation((B, RB), HD, MINUS),
-    "RB": Equation((B, HD), RB, MINUS),
-    "Bbis": Equation((HD, RB), B, PLUS),
-    "QS": Equation((QSX, QSY), QS, NORM2),
-    "QSbis": Equation((EF, DF), QS, PLUS),
-    "QSBL": Equation((QSBLX, QSBLY), QSBL, NORM2),
-    "QSSUSP": Equation((QSSUSP, QSSUSPY), QSSUSP, NORM2),
-    "TAU": Equation((US,), TAU, COMPUTE_TAU),
-    "DMAX": Equation((TAU,), DMAX, COMPUTE_DMAX),
-    "FROTP": Equation((TAU, MU), FROTP, TIMES),
-    # Deduce one vector component assuming that the it has same direction of (U, V) vector
-    "QSX": Equation((QS, U, V), QSX, COMPUTE_COMPONENT_X),
-    "QSY": Equation((QS, U, V), QSY, COMPUTE_COMPONENT_Y),
-    "QSBLX": Equation((QSBL, U, V), QSBLX, COMPUTE_COMPONENT_X),
-    "QSBLY": Equation((QSBL, U, V), QSBLY, COMPUTE_COMPONENT_Y),
-    "QSSUSPX": Equation((QSSUSP, U, V), QSSUSPX, COMPUTE_COMPONENT_X),
-    "QSSUSPY": Equation((QSSUSP, U, V), QSSUSPY, COMPUTE_COMPONENT_Y),
-}
-
-# define special friction law identifiers
-CHEZY_ID, STRICKLER_ID, MANNING_ID, NIKURADSE_ID = 0, 1, 2, 3
-FRICTION_LAWS = ["Chézy", "Strickler", "Manning", "Nikuradse"]
-
-
-# a very special equation
-class RouseEquation:
-    """!
-    needed a pickle-able top-level equation object when computing Rouse in multi-process
-    """
-
-    def __init__(self, ws, ws_id):
-        var = Variable(ws_id, None, None, None, -1)
-        self.input = (var, US)
-        self.output = ROUSE
-        self.ws = ws
-        self.operator = self.compute_rouse
-
-    def compute_rouse(self, us):
-        with np.errstate(divide="ignore"):
-            return np.where(us != 0, self.ws / us / KARMAN, float("Inf"))
-
-
-def is_basic_2d_variable(var_ID):
-    """!
-    @brief Determine if the input variable is a basic 2D variable
-    @param var_ID <str>: the ID (short name) of the variable
-    @return <bool>: True if the variable is one of the basic variables
-    """
-    return var_ID in basic_2D_vars_IDs
-
-
-def get_available_2d_variables(input_var_IDs):
-    """!
-    @brief Determine the list of new 2D variables computable from the input variables by basic relations
-    @param input_var_IDs <[str]>: the list of 2D variable IDs contained in the input file
-    @return <[Variable]>: the list of variables computable from the input variables by basic relations
-    """
-    computables = list(
-        map(VARIABLES_2D.get, filter(is_basic_2d_variable, input_var_IDs))
-    )
-    return get_available_variables(computables, BASIC_2D_EQUATIONS)
-
-
-def get_necessary_2d_equations(known_var_IDs, needed_var_IDs, us_equation):
-    """!
-    @brief Determine the list of 2D equations needed to compute all user-selected variables, with precedence handling
-    @param known_var_IDs <[str]>: the list of variable IDs contained in the input file
-    @param needed_var_IDs <[str]>: the list of variable IDs selected by the user
-    @param us_equation <Equation>: user-specified equation for friction velocity
-    @return <[Equation]>: the list of equations needed to compute all user-selected variables
-    """
-    selected_unknown_var_IDs = list(
-        filter(lambda x: x not in known_var_IDs, needed_var_IDs)
-    )
-    is_rouse = any(map(lambda x: x[:5] == "ROUSE", selected_unknown_var_IDs))
-    necessary_equations = []
-
-    # add S
-    if "S" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["S"])
-
-    # add B
-    if "B" in selected_unknown_var_IDs:
-        if "S" in known_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["B"])
-        else:
-            necessary_equations.append(BASIC_2D_EQUATIONS["Bbis"])
-
-    # add H
-    if "H" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-    elif "H" not in known_var_IDs:
-        if (
-            "I" in selected_unknown_var_IDs
-            or "J" in selected_unknown_var_IDs
-            or "C" in selected_unknown_var_IDs
-        ):
-            necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-        elif "Q" in selected_unknown_var_IDs and (
-            "I" not in known_var_IDs or "J" not in known_var_IDs
-        ):
-            necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-        elif "C" not in known_var_IDs and "F" in selected_unknown_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-        elif "US" in selected_unknown_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-        elif "US" not in known_var_IDs:
-            if "TAU" in selected_unknown_var_IDs:
-                necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-            elif "TAU" not in known_var_IDs:
-                if (
-                    "FROTP" in selected_unknown_var_IDs
-                    or "DMAX" in selected_unknown_var_IDs
-                ):
-                    necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-            elif is_rouse:
-                necessary_equations.append(BASIC_2D_EQUATIONS["H"])
-
-    # add M
-    if "M" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["M"])
-    elif "M" not in known_var_IDs:
-        if "F" in selected_unknown_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["M"])
-        elif "US" in selected_unknown_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["M"])
-        elif "US" not in known_var_IDs:
-            if "TAU" in selected_unknown_var_IDs:
-                necessary_equations.append(BASIC_2D_EQUATIONS["M"])
-            elif "TAU" not in known_var_IDs:
-                if (
-                    "FROTP" in selected_unknown_var_IDs
-                    or "DMAX" in selected_unknown_var_IDs
-                ):
-                    necessary_equations.append(BASIC_2D_EQUATIONS["M"])
-            elif is_rouse:
-                necessary_equations.append(BASIC_2D_EQUATIONS["M"])
-
-    # add C
-    if "C" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["C"])
-    elif "C" not in known_var_IDs and "F" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["C"])
-
-    # add F
-    if "F" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["F"])
-
-    # add I and J
-    if "I" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["I"])
-    else:
-        if "Q" in selected_unknown_var_IDs and "I" not in known_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["I"])
-    if "J" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["J"])
-    else:
-        if "Q" in selected_unknown_var_IDs and "J" not in known_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["J"])
-
-    # add Q
-    if "Q" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["Q"])
-
-    # add US
-    if "US" in selected_unknown_var_IDs:
-        necessary_equations.append(us_equation)
-    elif "US" not in known_var_IDs:
-        if "TAU" in selected_unknown_var_IDs:
-            necessary_equations.append(us_equation)
-        elif "TAU" not in known_var_IDs:
-            if (
-                "FROTP" in selected_unknown_var_IDs
-                or "DMAX" in selected_unknown_var_IDs
-            ):
-                necessary_equations.append(us_equation)
-        elif is_rouse:
-            necessary_equations.append(us_equation)
-
-    # add TAU
-    if "TAU" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["TAU"])
-    elif "TAU" not in known_var_IDs:
-        if "FROTP" in selected_unknown_var_IDs or "DMAX" in selected_unknown_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["TAU"])
-
-    # add DMAX
-    if "DMAX" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["DMAX"])
-
-    # add FROTP
-    if "FROTP" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["FROTP"])
-
-    # add ROUSE
-    for var_ID in selected_unknown_var_IDs:
-        if var_ID[:5] == "ROUSE":
-            rouse_value = float(var_ID[6:])
-            necessary_equations.append(RouseEquation(rouse_value, var_ID))
-
-    # add QS
-    if "QS" in selected_unknown_var_IDs:
-        if "QSX" in known_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS["QS"])
-        else:
-            necessary_equations.append(BASIC_2D_EQUATIONS["QSbis"])
-
-    # add QSBL
-    if "QSBL" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["QSBL"])
-
-    # add QSSUSP
-    if "QSSUSP" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_2D_EQUATIONS["QSSUSP"])
-
-    # add vector component computations
-    for var_ID in ("QSX", "QSY", "QSBLX", "QSBLY", "QSSUSPX", "QSSUSPY"):
-        if var_ID in selected_unknown_var_IDs:
-            necessary_equations.append(BASIC_2D_EQUATIONS[var_ID])
-
-    return necessary_equations
-
-
-def get_US_equation(friction_law):
-    """!
-    @brief Convert integer code to friction law equation
-    @param friction_law <int>: an integer specifying the friction law to use
-    @return <Equation>: the corresponding friction law equation
-    """
-    if friction_law == CHEZY_ID:
-        return Equation((W, H, M), US, COMPUTE_CHEZY)
-    elif friction_law == STRICKLER_ID:
-        return Equation((W, H, M), US, COMPUTE_STRICKLER)
-    elif friction_law == MANNING_ID:
-        return Equation((W, H, M), US, COMPUTE_MANNING)
-    elif friction_law == NIKURADSE_ID:
-        return Equation((W, H, M), US, COMPUTE_NIKURADSE)
-    else:
-        return None
-
-
-def new_variables_from_US(known_vars):
-    """!
-    @brief Add US, TAU and DMAX and eventually FROTP Variable objects to the list
-    @param available_vars <[Variable]>: the target list
-    @param known_vars <[str]>: known variables IDs
-    """
-    new_vars = [US, TAU, DMAX]
-    if "MU" in known_vars:
-        new_vars.append(FROTP)
-    return new_vars
diff --git a/xarray_selafin/variable/variables_3d.py b/xarray_selafin/variable/variables_3d.py
deleted file mode 100755
index 48656c4..0000000
--- a/xarray_selafin/variable/variables_3d.py
+++ /dev/null
@@ -1,73 +0,0 @@
-"""!
-Handle 3D variables and their relationships in Serafin files for additional variable computation
-"""
-
-from .variables_utils import *
-
-
-# define variables
-spec = """Z,COTE Z,ELEVATION Z,M
-U,VITESSE U,VELOCITY U,M/S
-V,VITESSE V,VELOCITY V,M/S
-W,VITESSE W,VELOCITY W,M/S
-NUX,NUX POUR VITESSE,NUX FOR VELOCITY,M2/S
-NUY,NUY POUR VITESSE,NUY FOR VELOCITY,M2/S
-NUZ,NUZ POUR VITESSE,NUZ FOR VELOCITY,M2/S
-M,VITESSE SCALAIRE,SCALAR VELOCITY,M/S
-NU,NU POUR VITESSE,NU FOR VELOCITY,M2/S"""
-
-basic_3D_vars_IDs = ["Z", "U", "V", "W", "NUX", "NUY", "NUZ", "M", "NU"]
-VARIABLES_3D = build_variables(spec)
-
-Z, U, V, W, NUX, NUY, NUZ, M, NU = [VARIABLES_3D[var] for var in basic_3D_vars_IDs]
-
-
-# define equations
-BASIC_3D_EQUATIONS = {
-    "M": Equation((U, V, W), M, NORM2_3D),
-    "NU": Equation((NUX, NUY, NUZ), NU, NORM2_3D),
-}
-
-
-def is_basic_3d_variable(var_ID):
-    """!
-    @brief Determine if the input variable is a basic 3D variable
-    @param var_ID <str>: the ID (short name) of the variable
-    @return <bool>: True if the variable is one of the basic variables
-    """
-    return var_ID in basic_3D_vars_IDs
-
-
-def get_available_3d_variables(input_var_IDs):
-    """!
-    @brief Determine the list of new 3D variables computable from the input variables by basic relations
-    @param input_var_IDs <[str]>: the list of 3D variable IDs contained in the input file
-    @return <[Variable]>: the list of variables computable from the input variables by basic relations
-    """
-    computables = list(
-        map(VARIABLES_3D.get, filter(is_basic_3d_variable, input_var_IDs))
-    )
-    return get_available_variables(computables, BASIC_3D_EQUATIONS)
-
-
-def get_necessary_3d_equations(known_var_IDs, needed_var_IDs):
-    """!
-    @brief Determine the list of 3D equations needed to compute all user-selected variables, with precedence handling
-    @param known_var_IDs <[str]>: the list of variable IDs contained in the input file
-    @param needed_var_IDs <[str]>: the list of variable IDs selected by the user
-    @return <[Equation]>: the list of equations needed to compute all user-selected variables
-    """
-    selected_unknown_var_IDs = list(
-        filter(lambda x: x not in known_var_IDs, needed_var_IDs)
-    )
-    necessary_equations = []
-
-    # add M
-    if "M" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_3D_EQUATIONS["M"])
-
-    # add NU
-    if "NU" in selected_unknown_var_IDs:
-        necessary_equations.append(BASIC_3D_EQUATIONS["NU"])
-
-    return necessary_equations
diff --git a/xarray_selafin/variable/variables_utils.py b/xarray_selafin/variable/variables_utils.py
deleted file mode 100755
index aa1d7a1..0000000
--- a/xarray_selafin/variable/variables_utils.py
+++ /dev/null
@@ -1,172 +0,0 @@
-"""!
-Handle 2D and 3D additional variables
-"""
-
-import numpy as np
-
-
-# define constants
-KARMAN = 0.4
-RHO_WATER = 1000.0
-GRAVITY = 9.80665
-
-
-class Variable:
-    """!
-    @brief Data type for a single variable with ID (short name), Name (fr or en) and Unit
-    """
-
-    def __init__(self, ID, name_fr, name_en, unit, order):
-        self._ID = ID
-        self.name_fr = name_fr
-        self.name_en = name_en
-        self._unit = unit
-        self.order = order
-
-    def __repr__(self):
-        return ", ".join([self.ID(), self.name_fr, self.name_en, self.unit()])
-
-    def name(self, language):
-        if language == "fr":
-            return self.name_fr
-        return self.name_en
-
-    def ID(self):
-        return self._ID
-
-    def unit(self):
-        return self._unit
-
-
-class Equation:
-    """!
-    @brief Data type for an equation consisting of N input variables, 1 output variables and (N-1) operators
-    """
-
-    def __init__(self, input_variables, output_variable, operator):
-        self.input = input_variables
-        self.output = output_variable
-        self.operator = operator
-
-    def __repr__(self):
-        return "%s -> %s (%s)" % (self.input, self.output, self.operator)
-
-
-def build_variables(spec):
-    """!
-    @brief Initialize the BASIC_VARIABLES
-    """
-    variables = {}
-    for i, row in enumerate(spec.split("\n")):
-        ID, name_fr, name_en, unit = row.split(",")
-        variables[ID] = Variable(ID, name_fr, name_en, unit, i)
-    return variables
-
-
-def square_root(x):
-    with np.errstate(invalid="ignore"):
-        return np.sqrt(x)
-
-
-def cubic_root(x):
-    with np.errstate(invalid="ignore"):
-        return np.where(x < 0, np.power(-x, 1 / 3.0), np.power(x, 1 / 3.0))
-
-
-def compute_NIKURADSE(w, h, m):
-    with np.errstate(divide="ignore", invalid="ignore"):
-        return np.sqrt(
-            np.power(m, 2) * KARMAN**2 / np.power(np.log(30 * h / np.exp(1) / w), 2)
-        )
-
-
-def compute_DMAX(tau):
-    return np.where(
-        tau > 0.34,
-        1.4593 * np.power(tau, 0.979),
-        np.where(
-            tau > 0.1,
-            1.2912 * np.power(tau, 2) + 1.3572 * tau - 0.1154,
-            0.9055 * np.power(tau, 1.3178),
-        ),
-    )
-
-
-def compute_COMPONENT_X(scalar, x, y):
-    magnitude = np.sqrt(np.power(x, 2) + np.power(y, 2))
-    return np.where(magnitude > 0, scalar * x / magnitude, 0)
-
-
-def compute_COMPONENT_Y(scalar, x, y):
-    return compute_COMPONENT_X(scalar, y, x)
-
-
-PLUS, MINUS, TIMES, NORM2, NORM2_3D = 1, 2, 3, 4, 104
-COMPUTE_TAU, COMPUTE_DMAX = 5, 6
-COMPUTE_CHEZY, COMPUTE_STRICKLER, COMPUTE_MANNING, COMPUTE_NIKURADSE = 7, 8, 9, 10
-COMPUTE_C, COMPUTE_F = 11, 12
-COMPUTE_COMPONENT_X, COMPUTE_COMPONENT_Y = 20, 21
-
-OPERATIONS = {
-    PLUS: lambda a, b: a + b,
-    MINUS: lambda a, b: a - b,
-    TIMES: lambda a, b: a * b,
-    NORM2: lambda a, b: np.sqrt(np.square(a) + np.square(b)),
-    NORM2_3D: lambda a, b, c: np.sqrt(np.square(a) + np.square(b) + np.square(c)),
-    COMPUTE_TAU: lambda x: RHO_WATER * np.square(x),
-    COMPUTE_DMAX: compute_DMAX,
-    COMPUTE_CHEZY: lambda w, h, m: np.sqrt(np.power(m, 2) * GRAVITY / np.square(w)),
-    COMPUTE_STRICKLER: lambda w, h, m: np.sqrt(
-        np.power(m, 2) * GRAVITY / np.square(w) / cubic_root(h)
-    ),
-    COMPUTE_MANNING: lambda w, h, m: np.sqrt(
-        np.power(m, 2) * GRAVITY * np.power(w, 2) / cubic_root(h)
-    ),
-    COMPUTE_NIKURADSE: compute_NIKURADSE,
-    COMPUTE_COMPONENT_X: compute_COMPONENT_X,
-    COMPUTE_COMPONENT_Y: compute_COMPONENT_Y,
-    COMPUTE_C: lambda h: square_root(GRAVITY * h),
-    COMPUTE_F: lambda m, c: m / c,
-}
-
-
-def do_calculation(equation, input_values):
-    """!
-    @brief Apply an equation on input values
-    @param equation <Equation>: an equation object
-    @param input_values <[numpy 1D-array]>: the values of the input variables
-    @return <numpy 1D-array>: the values of the output variable
-    """
-    operation = OPERATIONS[equation.operator]
-    nb_operands = len(input_values)
-    if nb_operands == 1:
-        with np.errstate(divide="ignore", invalid="ignore"):
-            return operation(input_values[0])
-    elif nb_operands == 2:
-        with np.errstate(divide="ignore", invalid="ignore"):
-            return operation(input_values[0], input_values[1])
-    with np.errstate(divide="ignore", invalid="ignore"):
-        return operation(input_values[0], input_values[1], input_values[2])
-
-
-def get_available_variables(computables, basic_equations):
-    """!
-    @brief Determine the list of new variables (2D or 3D) computable from the input variables by basic relations
-    @return <[Variable]>: the list of variables computable from the input variables by basic relations
-    """
-    available_vars = []
-    while True:
-        found_new_computable = False
-        for equation in basic_equations.values():
-            unknown = equation.output
-            needed_variables = equation.input
-            if unknown in computables:  # not a new variable
-                continue
-            is_solvable = all(map(lambda x: x in computables, needed_variables))
-            if is_solvable:
-                found_new_computable = True
-                computables.append(unknown)
-                available_vars.append(equation.output)
-        if not found_new_computable:
-            break
-    return available_vars
diff --git a/xarray_selafin/xarray_backend.py b/xarray_selafin/xarray_backend.py
index d669014..fdd8262 100644
--- a/xarray_selafin/xarray_backend.py
+++ b/xarray_selafin/xarray_backend.py
@@ -4,20 +4,26 @@
 * https://tutorial.xarray.dev/advanced/backends/2.Backend_with_Lazy_Loading.html
 """
 import os
+import threading
 from datetime import datetime
 from datetime import timedelta
-import numpy as np
 from operator import attrgetter
-import threading
+
+import numpy as np
 import xarray as xr
-from xarray.backends import BackendArray, BackendEntrypoint
+from serafin import Read
+from serafin import Serafin
+from serafin import serafin
+from serafin import SerafinHeader
+from serafin import Write
+from xarray.backends import BackendArray
+from xarray.backends import BackendEntrypoint
 from xarray.core import indexing
 
-from xarray_selafin import Serafin
-
 
 try:
     import dask
+
     DASK_AVAILABLE = True
 except ImportError:
     DASK_AVAILABLE = False
@@ -40,7 +46,7 @@ def compute_duration_between_datetime(t0, time_serie):
 
 
 def read_serafin(filepath, lang):
-    resin = Serafin.Read(filepath, lang)
+    resin = Read(filepath, lang)
     resin.__enter__()
     resin.read_header()
     resin.get_time()
@@ -48,7 +54,6 @@ def read_serafin(filepath, lang):
 
 
 class SelafinLazyArray(BackendArray):
-
     def __init__(self, filename_or_obj, shape, dtype, lock, var):
         self.filename_or_obj = filename_or_obj
         self.shape = shape
@@ -134,7 +139,6 @@ def _raw_indexing_method(self, key):
 
 
 class SelafinBackendEntrypoint(BackendEntrypoint):
-
     def open_dataset(
         self,
         filename_or_obj,
@@ -144,7 +148,7 @@ def open_dataset(
         # Below are custom arguments
         disable_lock=False,
         lazy_loading=True,
-        lang=Serafin.LANG,
+        lang=serafin.LANG,
         # `chunks` and `cache` DO NOT go here, they are handled by xarray
     ):
         # Initialize SELAFIN reader
@@ -218,7 +222,7 @@ def close():
 
         ds.set_close(close)
 
-        ds.attrs["title"] = slf.header.title.decode(Serafin.SLF_EIT).strip()
+        ds.attrs["title"] = slf.header.title.decode(serafin.SLF_EIT).strip()
         ds.attrs["language"] = slf.header.language
         ds.attrs["float_size"] = slf.header.float_size
         ds.attrs["endian"] = slf.header.endian
@@ -228,7 +232,7 @@ def close():
         if not is_2d:
             ds.attrs["ikle3"] = np.reshape(slf.header.ikle, (slf.header.nb_elements, ndp3))
         ds.attrs["variables"] = {
-            var_ID: (name.decode(Serafin.SLF_EIT).rstrip(), unit.decode(Serafin.SLF_EIT).rstrip())
+            var_ID: (name.decode(serafin.SLF_EIT).rstrip(), unit.decode(serafin.SLF_EIT).rstrip())
             for var_ID, name, unit in slf.header.iter_on_all_variables()
         }
         ds.attrs["date_start"] = slf.header.date
@@ -249,7 +253,6 @@ def guess_can_open(filename_or_obj):
 
 @xr.register_dataset_accessor("selafin")
 class SelafinAccessor:
-
     def __init__(self, xarray_obj):
         self._ds = xarray_obj
         self._header = None
@@ -279,7 +282,7 @@ def _build_header(self):
 
         # Title
         title = ds.attrs.get("title", "Converted with array-serafin")
-        header = Serafin.SerafinHeader(title)
+        header = SerafinHeader(title)
 
         # File precision
         float_size = ds.attrs.get("float_size", 4)  # Default: single precision
@@ -311,7 +314,7 @@ def _build_header(self):
                 header.date = DEFAULT_DATE_START
 
         # Variables
-        header.language = ds.attrs.get("language", Serafin.LANG)
+        header.language = ds.attrs.get("language", serafin.LANG)
         for var in ds.data_vars:
             try:
                 name, unit = ds.attrs["variables"][var]
@@ -376,7 +379,7 @@ def _write_all(self, filepath):
         """Writes header and all data frames into output file"""
         header = self._header
 
-        with Serafin.Write(filepath, header.language, overwrite=True) as resout:
+        with Write(filepath, header.language, overwrite=True) as resout:
             resout.write_header(header)
 
             t0 = np.datetime64(datetime(*header.date))

From ea405e04d17a85b17c6c7148097789807983f236 Mon Sep 17 00:00:00 2001
From: tomsail <saillour.thomas@gmail.com>
Date: Mon, 1 Jun 2026 09:19:27 +0200
Subject: [PATCH 2/3] fix: address reviews

---
 poetry.lock                      |  2 +-
 pyproject.toml                   |  2 +-
 xarray_selafin/xarray_backend.py | 15 ++++++++-------
 3 files changed, 10 insertions(+), 9 deletions(-)

diff --git a/poetry.lock b/poetry.lock
index 5472f62..aad1132 100644
--- a/poetry.lock
+++ b/poetry.lock
@@ -2956,4 +2956,4 @@ type = ["pytest-mypy (>=1.0.1)"]
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.11"
-content-hash = "d380c297207ec94a3b99a59a57a29e2b99fcc15b64ec3421a0b194a6881b2bef"
+content-hash = "a441b28d6f466d194a3a308508ee0c0d08b6017b4d84ded076b43bf7f6b9bbfa"
diff --git a/pyproject.toml b/pyproject.toml
index 12c77c0..74d794e 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -14,7 +14,7 @@ include = [
 python = ">=3.11"
 numpy = "*"
 xarray = "*"
-python-serafin = "*"
+python-serafin = "0.1.0"
 
 [tool.poetry.plugins."xarray.backends"]
 selafin = "xarray_selafin.xarray_backend:SelafinBackendEntrypoint"
diff --git a/xarray_selafin/xarray_backend.py b/xarray_selafin/xarray_backend.py
index fdd8262..9d63681 100644
--- a/xarray_selafin/xarray_backend.py
+++ b/xarray_selafin/xarray_backend.py
@@ -12,10 +12,11 @@
 import numpy as np
 import xarray as xr
 from serafin import Read
-from serafin import Serafin
-from serafin import serafin
 from serafin import SerafinHeader
+from serafin import SerafinRequestError
 from serafin import Write
+from serafin.serafin import LANG
+from serafin.serafin import SLF_EIT
 from xarray.backends import BackendArray
 from xarray.backends import BackendEntrypoint
 from xarray.core import indexing
@@ -148,7 +149,7 @@ def open_dataset(
         # Below are custom arguments
         disable_lock=False,
         lazy_loading=True,
-        lang=serafin.LANG,
+        lang=LANG,
         # `chunks` and `cache` DO NOT go here, they are handled by xarray
     ):
         # Initialize SELAFIN reader
@@ -222,7 +223,7 @@ def close():
 
         ds.set_close(close)
 
-        ds.attrs["title"] = slf.header.title.decode(serafin.SLF_EIT).strip()
+        ds.attrs["title"] = slf.header.title.decode(SLF_EIT).strip()
         ds.attrs["language"] = slf.header.language
         ds.attrs["float_size"] = slf.header.float_size
         ds.attrs["endian"] = slf.header.endian
@@ -232,7 +233,7 @@ def close():
         if not is_2d:
             ds.attrs["ikle3"] = np.reshape(slf.header.ikle, (slf.header.nb_elements, ndp3))
         ds.attrs["variables"] = {
-            var_ID: (name.decode(serafin.SLF_EIT).rstrip(), unit.decode(serafin.SLF_EIT).rstrip())
+            var_ID: (name.decode(SLF_EIT).rstrip(), unit.decode(SLF_EIT).rstrip())
             for var_ID, name, unit in slf.header.iter_on_all_variables()
         }
         ds.attrs["date_start"] = slf.header.date
@@ -314,7 +315,7 @@ def _build_header(self):
                 header.date = DEFAULT_DATE_START
 
         # Variables
-        header.language = ds.attrs.get("language", serafin.LANG)
+        header.language = ds.attrs.get("language", LANG)
         for var in ds.data_vars:
             try:
                 name, unit = ds.attrs["variables"][var]
@@ -322,7 +323,7 @@ def _build_header(self):
             except KeyError:
                 try:
                     header.add_variable_from_ID(var)
-                except Serafin.SerafinRequestError:
+                except SerafinRequestError:
                     header.add_variable_str(var, var, "?")
         header.nb_var = len(header.var_IDs)
 

From 40b513eb82ed202f1dba69dad41efa1191c0bea0 Mon Sep 17 00:00:00 2001
From: tomsail <saillour.thomas@gmail.com>
Date: Mon, 1 Jun 2026 09:24:04 +0200
Subject: [PATCH 3/3] bump version

---
 pyproject.toml | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/pyproject.toml b/pyproject.toml
index 74d794e..6c6439d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,6 +1,6 @@
 [tool.poetry]
 name = "xarray-selafin"
-version = "0.2.1"
+version = "0.2.2"
 description = ""
 authors = ["tomsail <saillour.thomas@gmail.com>", "lucduron <l.duron@cnr.tm.fr>"]
 readme = "README.md"