From ebaf2be63a2552a6398f845c6d3784e1b42a7a1f Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 18 Feb 2026 15:28:47 +0100
Subject: [PATCH 01/16] chore: remove numexpr to make resourcode fully
 compatible with pyiodide


From a17ab3e8978a57f1a3b3db149f44b43ca31c0f46 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 18 Feb 2026 16:10:05 +0100
Subject: [PATCH 02/16] chore: np.trapz became np.trapezoid

---
 resourcecode/producible_assessment/main.py  |  6 ++--
 resourcecode/spectrum/compute_parameters.py | 34 ++++++++++-----------
 resourcecode/spectrum/convert2D1D.py        |  2 +-
 resourcecode/spectrum/jonswap.py            | 34 ++++++++++-----------
 4 files changed, 37 insertions(+), 39 deletions(-)

diff --git a/resourcecode/producible_assessment/main.py b/resourcecode/producible_assessment/main.py
index 854be06..66ab81b 100644
--- a/resourcecode/producible_assessment/main.py
+++ b/resourcecode/producible_assessment/main.py
@@ -133,7 +133,7 @@ def get_power_pto_damp(self):
             power_t = pd.DataFrame(
                 (
                     (self.rho * self.g * self.width)
-                    * np.trapz(
+                    * np.trapezoid(
                         (((c_g * s).to_numpy())[:, np.newaxis] * self.capture_width).T,
                         x=self.freqs,
                     )
@@ -164,7 +164,7 @@ def get_power_pto_damp(self):
             tp_list.append(tp)
 
         self.wave_power = pd.DataFrame(
-            self.rho * self.g * self.width * np.trapz(c_g * self.s, x=self.freqs),
+            self.rho * self.g * self.width * np.trapezoid(c_g * self.s, x=self.freqs),
             index=self.times,
         )  # incident wave power (W)
 
@@ -219,7 +219,7 @@ def compute_spectrum_moment(f, s, n=0):
         s0 = np.interp(f0, f, s)
 
         fn = np.power(f0, n)
-        mn = np.trapz(s0 * fn, x=f0)
+        mn = np.trapezoid(s0 * fn, x=f0)
 
         return mn
 
diff --git a/resourcecode/spectrum/compute_parameters.py b/resourcecode/spectrum/compute_parameters.py
index 581949e..84c60e8 100644
--- a/resourcecode/spectrum/compute_parameters.py
+++ b/resourcecode/spectrum/compute_parameters.py
@@ -141,19 +141,19 @@ def raw_compute_parameters_from_1D_spectrum(
         raise ValueError("Depth must be positive")
 
     # Total energy
-    M0 = np.trapz(Ef, x=freq)
+    M0 = np.trapezoid(Ef, x=freq)
 
     # Significant Wave Height
     Hm0 = 4 * np.sqrt(M0)
 
     # Periods
-    M01 = np.trapz(freq * Ef, x=freq)
+    M01 = np.trapezoid(freq * Ef, x=freq)
     T01 = M0 / M01
 
-    M02 = np.trapz(freq**2 * Ef, x=freq)
+    M02 = np.trapezoid(freq**2 * Ef, x=freq)
     T02 = np.sqrt(M0 / M02)
 
-    Me = np.trapz(Ef / freq, x=freq)
+    Me = np.trapezoid(Ef / freq, x=freq)
     Te = Me / M0
 
     # fp evaluaton using spline fitting around Ef peak
@@ -171,7 +171,7 @@ def raw_compute_parameters_from_1D_spectrum(
 
     k = dispersion(freq, depth, n_iter=200, tol=1e-6)
     kd = k * depth
-    km = np.trapz(k * Ef, x=freq) / M0
+    km = np.trapezoid(k * Ef, x=freq) / M0
     lm = 2 * np.pi / km
 
     # Group velocity
@@ -180,7 +180,7 @@ def raw_compute_parameters_from_1D_spectrum(
     cg = 0.5 * c1 * c2
 
     # Energy flux
-    cgef = np.trapz(cg * Ef, x=freq)
+    cgef = np.trapezoid(cg * Ef, x=freq)
     CgE = water_density * g * cgef / 1000
 
     return SeaStatesParameters(
@@ -252,37 +252,37 @@ def raw_compute_parameters_from_2D_spectrum(
     cg = 0.5 * c1 * c2
 
     # Energy flux
-    cgef = np.trapz(cg[:, np.newaxis] * E.T, x=vdir, axis=1)
-    parameters.CgE = water_density * g * np.trapz(cgef, x=freq) / 1000
+    cgef = np.trapezoid(cg[:, np.newaxis] * E.T, x=vdir, axis=1)
+    parameters.CgE = water_density * g * np.trapezoid(cgef, x=freq) / 1000
 
     # compute direction from (°)
     aa = (E.T * np.cos(vdir)).T
     bb = (E.T * np.sin(vdir)).T
 
-    af = np.trapz(aa, x=vdir, axis=0)
-    am = np.trapz(af, x=freq)
+    af = np.trapezoid(aa, x=vdir, axis=0)
+    am = np.trapezoid(af, x=freq)
 
-    bf = np.trapz(bb, x=vdir, axis=0)
-    bm = np.trapz(bf, x=freq)
+    bf = np.trapezoid(bb, x=vdir, axis=0)
+    bm = np.trapezoid(bf, x=freq)
 
     Thetam = (np.arctan2(bm, am) * 180 / np.pi) % 360
 
     Spr = np.sqrt(2 * (1 - np.sqrt((am**2 + bm**2) / M0**2)))
     Spr = (Spr * 180 / np.pi) % 360
 
-    iEfm = np.trapz(E, x=vdir, axis=0).argmax()
+    iEfm = np.trapezoid(E, x=vdir, axis=0).argmax()
     aap = E[:, iEfm] * np.cos(vdir)
-    apm = np.trapz(aap, x=vdir)
+    apm = np.trapezoid(aap, x=vdir)
 
     bbp = E[:, iEfm] * np.sin(vdir)
-    bpm = np.trapz(bbp, x=vdir)
+    bpm = np.trapezoid(bbp, x=vdir)
 
     # Mean direction at peak frequency
     Thetapm = (np.arctan2(bpm, apm) * 180 / np.pi) % 360
 
     S2 = E**2
-    Qpf = np.trapz((S2 * freq).T, x=vdir)
-    MQ = np.trapz(Qpf, x=freq)
+    Qpf = np.trapezoid((S2 * freq).T, x=vdir)
+    MQ = np.trapezoid(Qpf, x=freq)
 
     Qp = 2 * MQ / (M0**2)
 
diff --git a/resourcecode/spectrum/convert2D1D.py b/resourcecode/spectrum/convert2D1D.py
index 0e9575c..cf5532f 100644
--- a/resourcecode/spectrum/convert2D1D.py
+++ b/resourcecode/spectrum/convert2D1D.py
@@ -46,7 +46,7 @@ def raw_convert_spectrum_2Dto1D(
 
     vd = ((vdir + 180) % 360 * np.pi) / 180
     ivd = vd.argsort()
-    return np.trapz(spectrum_2D[ivd, :], x=vd[ivd], axis=0)
+    return np.trapezoid(spectrum_2D[ivd, :], x=vd[ivd], axis=0)
 
 
 def convert_spectrum_2Dto1D(spectrumDataSet: xarray.Dataset) -> xarray.Dataset:
diff --git a/resourcecode/spectrum/jonswap.py b/resourcecode/spectrum/jonswap.py
index e74c88d..aabef0d 100644
--- a/resourcecode/spectrum/jonswap.py
+++ b/resourcecode/spectrum/jonswap.py
@@ -20,7 +20,6 @@
 
 import numpy as np
 import pandas as pd
-import numexpr as ne
 
 
 def jonswap(hs: float, tp: float, gamma: float, freq: np.ndarray) -> np.ndarray:
@@ -44,24 +43,23 @@ def jonswap(hs: float, tp: float, gamma: float, freq: np.ndarray) -> np.ndarray:
 
     out: vector containing the spectrum on input freq
     """
-    freq = freq[freq > 0]
-
-    expr = (
-        "5"
-        "/ (16 * freq ** 5)"
-        "* (hs ** 2)"
-        "/ (tp ** 4)"
-        "* exp(-5.0 / (4 * tp ** 4) /(freq ** 4))"
-        "* gamma ** ("
-        "   exp("
-        "       -((freq - 1 / tp) ** 2)"
-        "       * (tp ** 2)"
-        "       / (2 * (where(freq < (1.0 / tp), 0.07, 0.09) ** 2))"
-        "   )"
-        ")"
+
+    sf = (
+        5
+        / (16 * freq**5)
+        * (hs**2)
+        / (tp**4)
+        * np.exp(-5.0 / (4 * tp**4) / (freq**4))
+        * gamma
+        ** (
+            np.exp(
+                -((freq - 1 / tp) ** 2)
+                * (tp**2)
+                / (2 * (np.where(freq < (1.0 / tp), 0.07, 0.09) ** 2))
+            )
+        )
     )
-    sf = ne.evaluate(expr)
-    alpha = (hs**2) / (16 * np.trapz(sf, x=freq))
+    alpha = (hs**2) / (16 * np.trapezoid(sf, x=freq))
     return alpha * sf
 
 

From 402c8817081751a5025fb1dc450b37178117102e Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 18 Feb 2026 16:19:09 +0100
Subject: [PATCH 03/16] chore: migration from scipy.stats.mvn to
 scipy.stats.multivariate_normal

---
 resourcecode/eva/censgaussfit.py | 18 ++++++++----------
 1 file changed, 8 insertions(+), 10 deletions(-)

diff --git a/resourcecode/eva/censgaussfit.py b/resourcecode/eva/censgaussfit.py
index 978bcee..b4e6ac0 100644
--- a/resourcecode/eva/censgaussfit.py
+++ b/resourcecode/eva/censgaussfit.py
@@ -19,7 +19,7 @@
 # with Resourcecode. If not, see <https://www.gnu.org/licenses/>.
 
 import numpy as np
-from scipy.stats import norm, mvn
+from scipy.stats import norm, multivariate_normal
 from scipy.optimize import minimize, Bounds, OptimizeResult
 
 from resourcecode.utils import set_trig
@@ -64,15 +64,13 @@ def fitness(cov):
         else:
             sigma = cov
 
-        return (
-            tail_dependency_obs
-            - mvn.mvnun(
-                means=np.zeros_like(cov),
-                covar=sigma,
-                lower=np.full(len(cov), th_norm),
-                upper=np.full(len(cov), np.inf),
-            )[0]
-        ) ** 2
+        rv = multivariate_normal(
+            mean=np.zeros(len(cov)), cov=sigma, allow_singular=True
+        )
+        upper_point = np.full(len(cov), th_norm)
+        prob = 1 - rv.cdf(upper_point)
+
+        return (tail_dependency_obs - prob) ** 2
 
     # to get the same result as R, I needed to transpose
     cov0 = np.corrcoef(data.T)[np.triu_indices(data.shape[1], k=1)]

From beb45c781f8a003fcee2dd3ed11c78b600a315f8 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 18 Feb 2026 16:35:17 +0100
Subject: [PATCH 04/16] =?UTF-8?q?chore:=C2=A0make=20(almost)=20tests=20pas?=
 =?UTF-8?q?s?=
MIME-Version: 1.0
Content-Type: text/plain; charset=UTF-8
Content-Transfer-Encoding: 8bit

---
 tests/test_resassess.py | 15 +++++++--------
 1 file changed, 7 insertions(+), 8 deletions(-)

diff --git a/tests/test_resassess.py b/tests/test_resassess.py
index b7864dc..3332fbf 100644
--- a/tests/test_resassess.py
+++ b/tests/test_resassess.py
@@ -36,14 +36,14 @@ def data():
     return df
 
 
-def test_exceed():
+def test_exceed(data):
     data = pd.Series(np.arange(1, 5))
     sorted_data, exceedance = exceed(data)
     np.testing.assert_array_equal(sorted_data.values, np.arange(4, 0, -1))
     np.testing.assert_array_equal(exceedance, [0.75, 0.5, 0.25, 0.0])
 
 
-def test_bivar_stats_missing_column():
+def test_bivar_stats_missing_column(data):
     data = pd.DataFrame()
     with pytest.raises(NameError) as e:
         bivar_stats(data)
@@ -55,7 +55,7 @@ def test_bivar_stats_missing_column():
     assert e.match("Crucial parameter missing: t0m1")
 
 
-def test_univar_monstats_missing_columns():
+def test_univar_monstats_missing_columns(data):
     data = pd.DataFrame({"toto": []})
     with pytest.raises(NameError) as e:
         univar_monstats(data, "hs")
@@ -81,15 +81,14 @@ def test_bivar_stats(data):
 
 
 def test_univar_monstats(data):
-    exceed, dtm, dty = univar_monstats(data, "hs")
+    _exceed, dtm, dty = univar_monstats(data, "hs")
     stored_results = ("monthly_stat.csv", "yearly_stat.csv")
     for result, expected_result_path in zip((dtm, dty), stored_results):
         path = DATA_DIR / "resassess" / expected_result_path
-        expected_result = pd.read_csv(path, index_col=0)
-        expected_result = expected_result.astype(
-            {col: "int32" for col in expected_result.select_dtypes("int64").columns}
+        expected_result = pd.read_csv(
+            path, index_col=0, dtype={"month_index": np.int32}
         )
-        # count is the first column returned by 'describe()'
+        # count is the first column return by describe
         count_index = result.columns.get_loc("count")
 
         # Check the first columns that could either be int (month_index, year) or

From 9316cf7f770ef61e77267d9e6d51ed322b1ed542 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Thu, 19 Feb 2026 12:30:59 +0100
Subject: [PATCH 05/16] feat: move config.ini into the package so it can be
 shipped with it

---
 MANIFEST.in                    | 2 +-
 resourcecode/config/config.ini | 4 ++++
 resourcecode/utils.py          | 1 +
 setup.py                       | 1 -
 4 files changed, 6 insertions(+), 2 deletions(-)
 create mode 100644 resourcecode/config/config.ini

diff --git a/MANIFEST.in b/MANIFEST.in
index 355dbf4..238de7a 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -2,7 +2,7 @@ include LICENSE
 include CITATION.cff
 include tox.ini
 include mypy.ini
-include config/config.ini
+include resourcecode/config/config.ini
 include dev_requirements.txt
 include fp_hs.png
 exclude .gitlab-ci.yml .gitlab-ci-ifremer.yml
diff --git a/resourcecode/config/config.ini b/resourcecode/config/config.ini
new file mode 100644
index 0000000..a36a074
--- /dev/null
+++ b/resourcecode/config/config.ini
@@ -0,0 +1,4 @@
+[default]
+
+cassandra-base-url = https://resourcecode-datacharts.ifremer.fr/
+min-start-date = 1994-01-01T00:00:00
diff --git a/resourcecode/utils.py b/resourcecode/utils.py
index ec7edb3..2f4af0e 100644
--- a/resourcecode/utils.py
+++ b/resourcecode/utils.py
@@ -33,6 +33,7 @@
     "./resourcecode.ini",
     "~/.config/resourcecode.ini",
     f"{sys.prefix}/etc/resourcecode/config.ini",
+    Path(__file__).parent / "config" / "config.ini",
 ]
 
 LOGGER = logging.getLogger("resourcecode.default")
diff --git a/setup.py b/setup.py
index 4716ad8..cde38ff 100644
--- a/setup.py
+++ b/setup.py
@@ -98,7 +98,6 @@
     keywords=keywords,
     url=url,
     packages=find_packages(exclude=["test"]),
-    data_files=[("etc/resourcecode", ["config/config.ini"])],
     include_package_data=True,
     zip_safe=False,
     project_urls={

From dfff0e347532e7102a4b01ff16ca22b70a31a8d3 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 09:51:18 +0200
Subject: [PATCH 06/16] fix(tests): do not check dtypes, only the values

---
 tests/test_resassess.py | 7 +++++--
 1 file changed, 5 insertions(+), 2 deletions(-)

diff --git a/tests/test_resassess.py b/tests/test_resassess.py
index 3332fbf..b85c237 100644
--- a/tests/test_resassess.py
+++ b/tests/test_resassess.py
@@ -93,8 +93,11 @@ def test_univar_monstats(data):
 
         # Check the first columns that could either be int (month_index, year) or
         # string (month)
-        assert result.iloc[:, :count_index].equals(
-            expected_result.iloc[:, :count_index]
+        # Use check_dtype=False to handle int32 vs int64 differences
+        pd.testing.assert_frame_equal(
+            result.iloc[:, :count_index],
+            expected_result.iloc[:, :count_index],
+            check_dtype=False,
         )
         # Check the remaining columns (floats) using numpy
         np.testing.assert_allclose(

From 00b384bbcebcdc2a66a8ec2250380f4075df496d Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 10:11:37 +0200
Subject: [PATCH 07/16] fix(download_data): crash dump with python3.14 and
 numpy/xarray when opening a file

---
 resourcecode/spectrum/download_data.py | 14 +++++++++++---
 tests/test_spectrum.py                 | 15 +++++++++++++--
 2 files changed, 24 insertions(+), 5 deletions(-)

diff --git a/resourcecode/spectrum/download_data.py b/resourcecode/spectrum/download_data.py
index 63b2ccb..d4873c2 100644
--- a/resourcecode/spectrum/download_data.py
+++ b/resourcecode/spectrum/download_data.py
@@ -22,6 +22,7 @@
 import tempfile
 import urllib.request
 import xarray
+import numpy as np
 from typing import Iterable
 import contextlib
 
@@ -81,12 +82,19 @@ def download_single_2D_file(
     with contextlib.closing(urllib.request.urlopen(url)) as response:
         with tempfile.NamedTemporaryFile(delete=False, suffix=".nc") as tmp_file:
             shutil.copyfileobj(response, tmp_file)
-    with xarray.open_dataset(tmp_file.name) as ds:
+    with xarray.open_dataset(tmp_file.name, decode_cf=False) as ds:
         # Remove the 'string40' dimension which is not very indicative
         ds = ds.drop_dims("string40").squeeze()
         # Convert the log-spectrum to the actual value
-        # the value is already scaled internally by xarray so we do not need the scale factor of 0.004
-        ds = ds.assign(Ef=pow(10, ds["efth"]) - 1e-12)
+        # Manually apply scale_factor and add_offset to avoid xarray segfault
+        # This affects xarray >= 2024.x with numpy 2.x where CF decoding can cause
+        # segfaults when applying scale_factor/add_offset on certain NetCDF files.
+        efth_encoded = ds["efth"]
+        scale_factor = ds["efth"].encoding.get("scale_factor", 1.0)
+        add_offset = ds["efth"].encoding.get("add_offset", 0.0)
+        efth_decoded = efth_encoded * scale_factor + add_offset
+        # Compute Ef using numpy to avoid xarray segfault with CF decoding
+        ds = ds.assign(Ef=np.power(10.0, efth_decoded) - 1e-12)
         ds = ds.drop_vars(["efth", "station"])
         # We sort the direction to start at 0
         ds = ds.sortby("direction")
diff --git a/tests/test_spectrum.py b/tests/test_spectrum.py
index 129483a..c991bed 100644
--- a/tests/test_spectrum.py
+++ b/tests/test_spectrum.py
@@ -74,11 +74,22 @@ def test_compute_parameter_2D():
 
 
 def test_download_2D_file():
+    # Use decode_cf=False to avoid xarray segfault with scale_factor/add_offset
+    # This is a workaround for xarray >= 2024.x with numpy 2.x where applying
+    # CF conventions (scale_factor, add_offset) causes a segfault in some cases.
+    # See, probably related to https://github.com/pydata/xarray/issues/11205 / numpy / xarray and
+    # python 3.14
     expected_spectrum = xarray.open_dataset(
-        DATA_DIR / "spectrum" / "W001933N55743_201605.nc"
+        DATA_DIR / "spectrum" / "W001933N55743_201605.nc",
+        decode_cf=False,
     )
+    # Manually apply scale_factor and add_offset
+    efth_encoded = expected_spectrum["efth"]
+    scale_factor = expected_spectrum["efth"].encoding.get("scale_factor", 1.0)
+    add_offset = expected_spectrum["efth"].encoding.get("add_offset", 0.0)
+    efth_decoded = efth_encoded * scale_factor + add_offset
     expected_spectrum = expected_spectrum.assign(
-        Ef=pow(10, expected_spectrum["efth"]) - 1e-12
+        Ef=np.power(10.0, efth_decoded) - 1e-12
     )
     expected_spectrum = expected_spectrum.drop_vars("efth")
 

From 8b4768e6a6534ab63f1b2958382e48e7d99c14e5 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 10:17:23 +0200
Subject: [PATCH 08/16] fix(censgaussfit): do no fail when if sigma is positive
 semi-definite

---
 resourcecode/eva/censgaussfit.py | 6 ++++++
 1 file changed, 6 insertions(+)

diff --git a/resourcecode/eva/censgaussfit.py b/resourcecode/eva/censgaussfit.py
index b4e6ac0..09c501b 100644
--- a/resourcecode/eva/censgaussfit.py
+++ b/resourcecode/eva/censgaussfit.py
@@ -64,6 +64,12 @@ def fitness(cov):
         else:
             sigma = cov
 
+        # Check if sigma is positive semi-definite
+        eigenvalues = np.linalg.eigvalsh(sigma)
+        if not np.all(eigenvalues >= -1e-10):
+            # Return a large penalty for non-PSD matrices
+            return 1e10
+
         rv = multivariate_normal(
             mean=np.zeros(len(cov)), cov=sigma, allow_singular=True
         )

From a16ad2bdf17fef845f324975ef5d82b095ef6326 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 10:17:54 +0200
Subject: [PATCH 09/16] chore: update version in the setup.py

---
 setup.py | 24 ++++++++++++------------
 1 file changed, 12 insertions(+), 12 deletions(-)

diff --git a/setup.py b/setup.py
index cde38ff..33376d4 100644
--- a/setup.py
+++ b/setup.py
@@ -36,17 +36,17 @@
 license = "GPL-v3.0"
 
 install_requires = [
-    "pandas >= 1.0.0, < 3.0.0",
-    "requests >= 2.23.0",
-    "numpy >= 1.20.1, < 2.0.0",
-    "scipy >= 1.6.1, < 1.14.0",
-    "pyextremes >= 2.0.0",
-    "pytest >= 7.0.0",
-    "pyarrow >= 6.0.0",
-    "plotly >= 4.12.0",
-    "numexpr >= 2.7.0",
-    "xarray >= 0.19.0",
-    "netCDF4 >= 1.6.0",
+    "pandas >= 1.5.3, < 3.0.0",
+    "requests >= 2.28.1",
+    "numpy >= 1.24.2, < 3.0.0",
+    "scipy >= 1.10.1",
+    "pyextremes >= 2.5.0",
+    "pytest >= 7.2.1",
+    "pyarrow >= 23.0.1",
+    "plotly >= 5.4.0",
+    "numexpr >= 2.8.4",
+    "xarray >= 2026.4.0",
+    "netCDF4 >= 1.7.4",
 ]
 
 classifiers = [
@@ -87,7 +87,7 @@
     name="resourcecode",
     version=__version__,
     license=license,
-    python_requires=">=3.9, <3.13",
+    python_requires=">=3.9, <3.15",
     description=description,
     author=author,
     author_email=author_email,

From 95c5e1c4f7ac5a65c701c95b498bea5de29c1cb3 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 10:33:46 +0200
Subject: [PATCH 10/16] fix(tests): set random seed to a fixed value to make
 reproducible tests

---
 tests/conftest.py | 27 +++++++++++++++++++++++++++
 1 file changed, 27 insertions(+)
 create mode 100644 tests/conftest.py

diff --git a/tests/conftest.py b/tests/conftest.py
new file mode 100644
index 0000000..472c5ea
--- /dev/null
+++ b/tests/conftest.py
@@ -0,0 +1,27 @@
+# coding: utf-8
+
+# Copyright 2020-2026 IFREMER (Brest, FRANCE), all rights reserved.
+# contact -- mailto:nicolas.raillard@ifremer.fr
+#
+# This file is part of Resourcecode.
+#
+# Resourcecode is free software: you can redistribute it and/or modify it under
+# the terms of the GNU General Public License as published by the Free
+# Software Foundation, either version 3.0 of the License, or any later version.
+#
+# Resourcecode is distributed in the hope that it will be useful, but WITHOUT
+# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
+# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+# details.
+#
+# You should have received a copy of the GNU General Public License along
+# with Resourcecode. If not, see <https://www.gnu.org/licenses/>.
+
+import numpy as np
+import pytest
+
+
+@pytest.fixture(autouse=True)
+def set_random_seed():
+    """Set random seed for reproducibility across all tests"""
+    np.random.seed(42)

From 05dec7f0baa1eb7024e310497706b40223fa4161 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 11:03:17 +0200
Subject: [PATCH 11/16] chore: migrate to uv

---
 .github/workflows/check.yml           |   30 +-
 .github/workflows/documentation.yml   |   36 +-
 .github/workflows/publish-to-pypi.yml |   32 +-
 .gitignore                            |  196 +--
 MANIFEST.in                           |    8 +-
 README.md                             |   59 +-
 dev_requirements.txt                  |    1 -
 fp_hs.png                             |  Bin 66904 -> 66905 bytes
 pyproject.toml                        |  108 ++
 setup.py                              |  108 --
 tox.ini                               |   24 +-
 uv.lock                               | 1921 +++++++++++++++++++++++++
 12 files changed, 2129 insertions(+), 394 deletions(-)
 delete mode 100644 dev_requirements.txt
 create mode 100644 pyproject.toml
 delete mode 100644 setup.py
 create mode 100644 uv.lock

diff --git a/.github/workflows/check.yml b/.github/workflows/check.yml
index ec5ffc5..1fe7fc5 100644
--- a/.github/workflows/check.yml
+++ b/.github/workflows/check.yml
@@ -15,13 +15,15 @@ jobs:
     name:  Run lint
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
-      - name: Setup Python
-        uses: actions/setup-python@v5
+      - uses: actions/checkout@v6
+      - name: Install uv
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          python-version: 3.11
-      - name: Install tox
-        run: python -m pip install tox
+          version: "0.11.16"
+          python-version: "3.11"
+          enable-cache: true
+      - name: Install tox with tox-uv
+        run: uv tool install tox --with tox-uv
       - name: check-manifest
         run: tox -e check-manifest
       - name: flake8
@@ -39,10 +41,10 @@ jobs:
       fail-fast: false
       matrix:
         py:
+          - "3.14"
+          - "3.13"
           - "3.12"
           - "3.11"
-          - "3.10"
-          - "3.9"
         os:
           - ubuntu-latest
           - macos-13
@@ -50,15 +52,17 @@ jobs:
     env:
       MPLBACKEND: Agg  # https://github.com/orgs/community/discussions/26434
     steps:
-      - uses: actions/checkout@v4
+      - uses: actions/checkout@v6
         with:
           fetch-depth: 0
-      - name: Setup python for test ${{ matrix.py }}
-        uses: actions/setup-python@v5
+      - name: Install uv
+        uses: astral-sh/setup-uv@v8.1.0
         with:
+          version: "0.11.16"
           python-version: ${{ matrix.py }}
-      - name: Install tox
-        run: python -m pip install tox-gh>=1.2
+          enable-cache: true
+      - name: Install tox with tox-uv
+        run: uv tool install tox --with tox-uv
       - name: Setup test suite
         run: tox -vv --notest
       - name: Run test suite
diff --git a/.github/workflows/documentation.yml b/.github/workflows/documentation.yml
index 5fd5a0f..a11ff2d 100644
--- a/.github/workflows/documentation.yml
+++ b/.github/workflows/documentation.yml
@@ -12,34 +12,32 @@ jobs:
     name: Test if documentation can be rendered
     runs-on: ubuntu-latest
     steps:
-      - uses: actions/checkout@v4
-      - name: Setup Python
-        uses: actions/setup-python@v5
+      - uses: actions/checkout@v6
+      - name: Install uv
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          python-version: 3.11
-      - name: Install package and sphinx
-        run: |
-          pip install .
-          pip install sphinx>=4.5 sphinx-book-theme pytest sphinx_gallery plotly
-          sphinx-build -b doctest doc .
+          version: "0.11.16"
+          enable-cache: true
+      - name: Install the project
+        run: uv sync --locked --all-extras --extra doc
+      - name: Run doctest
+        run: uv run sphinx-build -b doctest doc .
   docdeploy:
     name: Render the documentation and push it to gh-pages
     runs-on: ubuntu-latest
     needs: doctest
     if: ${{github.ref == 'refs/heads/main'}}
     steps:
-      - uses: actions/checkout@v4
-      - name: Setup Python
-        uses: actions/setup-python@v5
+      - uses: actions/checkout@v6
+      - name: Install uv
+        uses: astral-sh/setup-uv@v8.1.0
         with:
-          python-version: 3.11
-      - name: Install package and sphinx
-        run: |
-          pip install .
-          pip install sphinx>=4.5 sphinx-book-theme pytest sphinx_gallery plotly
+          version: "0.11.16"
+          enable-cache: true
+      - name: Install the project
+        run: uv sync --locked --all-extras --extra doc
       - name: Sphinx build
-        run: |
-          sphinx-build doc _build
+        run: uv run sphinx-build doc _build
       - name: Deploy
         uses: peaceiris/actions-gh-pages@v3
         with:
diff --git a/.github/workflows/publish-to-pypi.yml b/.github/workflows/publish-to-pypi.yml
index aac8cb1..d6df6c7 100644
--- a/.github/workflows/publish-to-pypi.yml
+++ b/.github/workflows/publish-to-pypi.yml
@@ -10,17 +10,14 @@ jobs:
     runs-on: ubuntu-latest
 
     steps:
-    - uses: actions/checkout@v4
-    - name: Set up Python
-      uses: actions/setup-python@v5
+    - uses: actions/checkout@v6
+    - name: Install uv
+      uses: astral-sh/setup-uv@v8.1.0
       with:
-        python-version: "3.x"
-    - name: Install dependencies
-      run: |
-        python3 -m pip install --upgrade pip
-        python3 -m pip install build twine
+        version: "0.11.16"
+        enable-cache: true
     - name: Build a binary wheel and a source tarball
-      run: python3 -m build
+      run: uv build
     - name: Store the distribution packages
       uses: actions/upload-artifact@v4
       with:
@@ -46,8 +43,12 @@ jobs:
       with:
         name: resourcecode
         path: dist/
+    - name: Install uv
+      uses: astral-sh/setup-uv@v8.1.0
+      with:
+        version: "0.11.16"
     - name: Publish Resourcecode 📦 to PyPI
-      uses: pypa/gh-action-pypi-publish@release/v1
+      run: uv publish
 
   github-release:
     name: >-
@@ -62,7 +63,7 @@ jobs:
       id-token: write  # IMPORTANT: mandatory for sigstore
 
     steps:
-    - uses: actions/checkout@v4
+    - uses: actions/checkout@v6
     - name: Download all the dists
       uses: actions/download-artifact@v4
       with:
@@ -113,8 +114,9 @@ jobs:
       with:
         name: resourcecode
         path: dist/
-    - name: Publish Resourcecode 📦 to TestPyPI
-      uses: pypa/gh-action-pypi-publish@release/v1
+    - name: Install uv
+      uses: astral-sh/setup-uv@v8.1.0
       with:
-        repository-url: https://test.pypi.org/legacy/
-        verbose: true
+        version: "0.11.16"
+    - name: Publish Resourcecode 📦 to TestPyPI
+      run: uv publish --token ${{ secrets.TEST_PYPI_TOKEN }} --publish-url https://test.pypi.org/legacy/
diff --git a/.gitignore b/.gitignore
index b96edf4..d40efb6 100644
--- a/.gitignore
+++ b/.gitignore
@@ -1,192 +1,6 @@
-# Created by https://www.toptal.com/developers/gitignore/api/python,jupyternotebooks
-# Edit at https://www.toptal.com/developers/gitignore?templates=python,jupyternotebooks
+# uv
+uv.lock
+.venv/
 
-### JupyterNotebooks ###
-# gitignore template for Jupyter Notebooks
-# website: http://jupyter.org/
-
-.ipynb_checkpoints
-*/.ipynb_checkpoints/*
-
-# IPython
-profile_default/
-ipython_config.py
-
-# Remove previous ipynb_checkpoints
-#   git rm -r .ipynb_checkpoints/
-
-### Python ###
-# Byte-compiled / optimized / DLL files
-__pycache__/
-*.py[cod]
-*$py.class
-
-# C extensions
-*.so
-
-# Distribution / packaging
-.Python
-build/
-develop-eggs/
-dist/
-downloads/
-eggs/
-.eggs/
-lib/
-lib64/
-parts/
-sdist/
-var/
-wheels/
-share/python-wheels/
-*.egg-info/
-.installed.cfg
-*.egg
-MANIFEST
-.doctrees/*
-public/*
-output.txt
-
-# Sphinx documentation
-doc/_build/
-doc/auto_examples
-
-# PyInstaller
-#  Usually these files are written by a python script from a template
-#  before PyInstaller builds the exe, so as to inject date/other infos into it.
-*.manifest
-*.spec
-
-# Installer logs
-pip-log.txt
-pip-delete-this-directory.txt
-
-# Unit test / coverage reports
-htmlcov/
-.tox/
-.nox/
-.coverage
-.coverage.*
-.cache
-nosetests.xml
-coverage.xml
-*.cover
-*.py,cover
-.hypothesis/
-.pytest_cache/
-cover/
-tests/output/*.png
-
-# Translations
-*.mo
-*.pot
-
-# Django stuff:
-*.log
-local_settings.py
-db.sqlite3
-db.sqlite3-journal
-
-# Flask stuff:
-instance/
-.webassets-cache
-
-# Scrapy stuff:
-.scrapy
-
-# Sphinx documentation
-docs/_build/
-
-# PyBuilder
-.pybuilder/
-target/
-
-# Jupyter Notebook
-
-# IPython
-
-# pyenv
-#   For a library or package, you might want to ignore these files since the code is
-#   intended to run in multiple environments; otherwise, check them in:
-# .python-version
-
-# pipenv
-#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
-#   However, in case of collaboration, if having platform-specific dependencies or dependencies
-#   having no cross-platform support, pipenv may install dependencies that don't work, or not
-#   install all needed dependencies.
-#Pipfile.lock
-
-# poetry
-#   Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
-#   This is especially recommended for binary packages to ensure reproducibility, and is more
-#   commonly ignored for libraries.
-#   https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
-#poetry.lock
-
-# pdm
-#   Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
-#pdm.lock
-#   pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
-#   in version control.
-#   https://pdm.fming.dev/#use-with-ide
-.pdm.toml
-
-# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
-__pypackages__/
-
-# Celery stuff
-celerybeat-schedule
-celerybeat.pid
-
-# SageMath parsed files
-*.sage.py
-
-# Environments
-.env
-.venv
-env/
-venv/
-ENV/
-env.bak/
-venv.bak/
-
-# Spyder project settings
-.spyderproject
-.spyproject
-
-# Rope project settings
-.ropeproject
-
-# mkdocs documentation
-/site
-
-# mypy
-.mypy_cache/
-.dmypy.json
-dmypy.json
-
-# Pyre type checker
-.pyre/
-
-# pytype static type analyzer
-.pytype/
-
-# Cython debug symbols
-cython_debug/
-
-# PyCharm
-#  JetBrains specific template is maintained in a separate JetBrains.gitignore that can
-#  be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
-#  and can be added to the global gitignore or merged into this file.  For a more nuclear
-#  option (not recommended) you can uncomment the following to ignore the entire idea folder.
-#.idea/
-
-# End of https://www.toptal.com/developers/gitignore/api/python,jupyternotebooks
-
-#Additional stuff
-joss_paper/paper.log
-joss_paper/paper.Rmd
-joss_paper/paper.html
-joss_paper/paper.bib.bak
-joss_paper/paper.pdf
+# Jupyter checkpoints
+**/.ipynb_checkpoints/
\ No newline at end of file
diff --git a/MANIFEST.in b/MANIFEST.in
index 238de7a..c088349 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -2,16 +2,19 @@ include LICENSE
 include CITATION.cff
 include tox.ini
 include mypy.ini
-include resourcecode/config/config.ini
-include dev_requirements.txt
 include fp_hs.png
 exclude .gitlab-ci.yml .gitlab-ci-ifremer.yml
 include *.md
+include uv.lock
+include *.txt
 
+recursive-include config *.ini
 recursive-include notebooks *.ipynb
+global-exclude **/.ipynb_checkpoints/*
 recursive-include resourcecode *.py
 recursive-include resourcecode/data *.feather *.json
 recursive-include resourcecode *.csv
+recursive-include resourcecode/config *.ini
 
 recursive-include examples *.py
 recursive-include examples *.rst
@@ -22,6 +25,7 @@ recursive-include CLA *.pdf
 
 recursive-exclude joss_paper *
 exclude joss_paper
+exclude dev_requirements.txt
 
 prune codes_to_migrate
 prune doc
diff --git a/README.md b/README.md
index 9428c3a..acd6e9b 100644
--- a/README.md
+++ b/README.md
@@ -24,58 +24,43 @@ in expected environmental conditions,and de-risk investment in future technology
 
 ## Installation
 
-### Dependencies
+### Requirements
 
-To install the toolbox, the following packages are necessary:
+- Python (>= 3.11, < 3.14)
+- pandas (>= 2.2, < 3)
+- numpy (>= 2.0, < 3)
+- scipy (>= 1.14.1, < 2)
+- xarray (>= 2024.11.0)
+- netCDF4 (>= 1.7.0, < 2)
+- And other dependencies (see `pyproject.toml` for the complete list)
 
-- python (>= 3.9, <3.13)
-- pandas (>= 1.0.0)
-- requests (>= 2.23.0)
-- numpy (>= 1.20.1,  < 2.0.0)
-- scipy (>= 1.6.1)
-- pyextremes (>= 2.0.0)
-- pytest (>7.0.0)
-- pyarrow (>= 6.0.0)
-- plotly (>= 4.12.0)
-- numexpr (>= 2.7.0)
-- xarray (>= 0.19.0)
+### Using uv (recommended)
 
-
-### Using an environment
-
-Maybe the easiest way to install the toolbox is to create a dedicated virtual
-environment:
+The recommended way to install the toolbox is to use [`uv`](https://docs.astral.sh/uv/), a fast Python package installer:
 
 ```shell
-$ cd /your/work/directory
-$ python3 -m venv env-resourcecode
+$ uv pip install resourcecode
 ```
 
-then, you activate it:
+### Using pip
+
+Alternatively, you can use pip:
 
 ```shell
-$ source env-resourcecode/bin/activate
-(env-resourcecode)$
+$ python -m pip install resourcecode
 ```
 
-In this virtual environment, you can now install the library. The library  is
-available on PyPI, and installation is straightforward, using the following
-command:
-
-```
-(env-resourcecode)$ python -m pip install resourcecode
-[…]
-```
+### Development installation
 
-To test whether the install has been successful, you can run:
+For development, clone the repository and install with all dependencies:
 
-```bash
-(env-resourcecode)$ python -c "import resourcecode ; print(resourcecode.__version__)"
-1.1.2
+```shell
+$ git clone https://github.com/Resourcecode-project/py-resourcecode
+$ cd py-resourcecode
+$ uv sync --all-extras --dev
+$ uv run pytest
 ```
 
-which should print the current locally installed version of `resourcecode`.
-
 ## Example of use
 
 Once the library is installed and the configuration is done, you can use the
diff --git a/dev_requirements.txt b/dev_requirements.txt
deleted file mode 100644
index e079f8a..0000000
--- a/dev_requirements.txt
+++ /dev/null
@@ -1 +0,0 @@
-pytest
diff --git a/fp_hs.png b/fp_hs.png
index fc227fbda79a36c7ceeaa74ac61ed791ebc00381..cf861ef438b18eb33b5b35eb093c7e4e0e83931d 100644
GIT binary patch
delta 54
zcmcc7#d5QYWr7N$)kIZAMMDEUOC5!bl9GaAD}DXk#FB!X{F0o^B)$BibbU3q%aM&~
KThkanu>b({_!9yE

delta 53
zcmccF#d4#IWr7N$<wR9Q1q(f69fgdNl7eC@ef`|Tl7gK4lAO#Wz5Jqd{o~Iff*aGf
JrZawG0RZt<6O#Y{

diff --git a/pyproject.toml b/pyproject.toml
new file mode 100644
index 0000000..210b13a
--- /dev/null
+++ b/pyproject.toml
@@ -0,0 +1,108 @@
+[build-system]
+requires = ["setuptools>=77.0.3", "wheel"]
+build-backend = "setuptools.build_meta"
+
+[project]
+name = "resourcecode"
+dynamic = ["version"]
+description = "The ResourceCODE Marine Data Toolbox is a python package to facilitate the access to recent hindcast database of sea-state, along with a set of state-of-the-art methods for data analysis."
+readme = "README.md"
+license = {text = "GPL-3.0-or-later"}
+requires-python = ">=3.11, <=3.14"
+authors = [
+    {name = "Nicolas Raillard", email = "nicolas.raillard@ifremer.fr"}
+]
+classifiers = [
+    "Development Status :: 5 - Production/Stable",
+    "Intended Audience :: Science/Research",
+    "Intended Audience :: Developers",
+    "Programming Language :: Python",
+    "Programming Language :: Python :: 3.11",
+    "Programming Language :: Python :: 3.12",
+    "Programming Language :: Python :: 3.13",
+    "Programming Language :: Python :: 3.14",
+    "Programming Language :: Python :: 3 :: Only",
+    "Operating System :: OS Independent",
+    "License :: OSI Approved :: GNU General Public License v3 (GPL-3.0-or-later)",
+    "Topic :: Scientific/Engineering",
+    "Topic :: Scientific/Engineering :: Mathematics",
+    "Topic :: Scientific/Engineering :: Physics",
+]
+keywords = [
+    "statistics",
+    "extreme",
+    "extreme value analysis",
+    "eva",
+    "coastal",
+    "ocean",
+    "marine",
+    "environmental",
+    "engineering",
+    "renewable",
+    "MRE",
+    "offshore",
+    "data",
+    "hindcast",
+]
+dependencies = [
+    "pandas>=2.2",
+    "requests>=2.28.1",
+    "numpy>=2.0,<3.0",
+    "scipy>=1.10.1",
+    "pyextremes>=2.5.0",
+    "pytest>=7.2.1",
+    "pyarrow>=22.0.0",  # Pyodide 0.29.4 compatible (max version available)
+    "plotly>=5.4.0",
+    "xarray>=2025.12.0",  # Pyodide 0.29.4 compatible (max version available)
+    "netCDF4>=1.7.0",
+]
+
+[project.urls]
+Homepage = "https://resourcecode-project.github.io/py-resourcecode/"
+GitHub = "https://github.com/Resourcecode-project/py-resourcecode"
+"Web Portal" = "https://resourcecode.ifremer.fr"
+PyPI = "https://pypi.org/project/resourcecode"
+
+[project.optional-dependencies]
+dev = [
+    "flake8>=3.6",
+    "black>=19.10b0",
+    "mypy",
+    "nbqa",
+    "check-manifest",
+    "tox",
+    "tox-uv",
+]
+doc = [
+    "sphinx>=4.5",
+    "sphinx-book-theme",
+    "sphinx_gallery",
+    "plotly",
+]
+
+[tool.setuptools.dynamic]
+version = {attr = "resourcecode.__version__.__version__"}
+
+[tool.setuptools.packages.find]
+include = ["resourcecode*"]
+
+[dependency-groups]
+dev = [
+    "flake8>=3.6",
+    "black>=19.10b0",
+    "mypy",
+    "nbqa",
+    "check-manifest",
+    "tox",
+    "tox-uv",
+]
+
+[tool.black]
+line-length = 120
+target-version = ["py39", "py310", "py311", "py312", "py313"]
+
+[tool.mypy]
+python_version = "3.9"
+warn_return_any = true
+warn_unused_configs = true
+ignore_missing_imports = true
diff --git a/setup.py b/setup.py
deleted file mode 100644
index 33376d4..0000000
--- a/setup.py
+++ /dev/null
@@ -1,108 +0,0 @@
-# coding: utf-8
-
-# Copyright 2020-2023 IFREMER (Brest, FRANCE), all rights reserved.
-# contact -- mailto:nicolas.raillard@ifremer.fr
-#
-# This file is part of Resourcecode.
-#
-# Resourcecode is free software: you can redistribute it and/or modify it under
-# the terms of the GNU General Public License as published by the Free
-# Software Foundation, either version 3.0 of the License, or any later version.
-#
-# Resourcecode is distributed in the hope that it will be useful, but WITHOUT
-# ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
-# FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
-# details.
-#
-# You should have received a copy of the GNU General Public License along
-# with Resourcecode. If not, see <https://www.gnu.org/licenses/>.
-
-from pathlib import Path
-from setuptools import find_packages, setup
-
-HERE = Path(__file__).parent
-
-version_context = {}
-with open(HERE / "resourcecode" / "__version__.py") as f:
-    exec(f.read(), version_context)
-
-author = "Nicolas Raillard (IFREMER, Brest)"
-author_email = "nicolas.raillard@ifremer.fr"
-__version__ = version_context["__version__"]
-
-description = "The ResourceCODE Marine Data Toolbox is a python package to facilitate the\
- access to recent hindcast database of sea-state , along with a set of state-of-the-art methods for data analysis."
-url = "https://resourcecode-project.github.io/py-resourcecode/"
-license = "GPL-v3.0"
-
-install_requires = [
-    "pandas >= 1.5.3, < 3.0.0",
-    "requests >= 2.28.1",
-    "numpy >= 1.24.2, < 3.0.0",
-    "scipy >= 1.10.1",
-    "pyextremes >= 2.5.0",
-    "pytest >= 7.2.1",
-    "pyarrow >= 23.0.1",
-    "plotly >= 5.4.0",
-    "numexpr >= 2.8.4",
-    "xarray >= 2026.4.0",
-    "netCDF4 >= 1.7.4",
-]
-
-classifiers = [
-    "Development Status :: 5 - Production/Stable",
-    "Intended Audience :: Science/Research",
-    "Intended Audience :: Developers",
-    "Programming Language :: Python",
-    "Programming Language :: Python :: 3.9",
-    "Programming Language :: Python :: 3.10",
-    "Programming Language :: Python :: 3.11",
-    "Programming Language :: Python :: 3.12",
-    "Programming Language :: Python :: 3 :: Only",
-    "Operating System :: OS Independent",
-    "License :: OSI Approved :: GNU General Public License v3 (GPLv3)",
-    "Topic :: Scientific/Engineering",
-    "Topic :: Scientific/Engineering :: Mathematics",
-    "Topic :: Scientific/Engineering :: Physics",
-]
-
-keywords = [
-    "statistics",
-    "extreme",
-    "extreme value analysis",
-    "eva",
-    "coastal",
-    "ocean",
-    "marine",
-    "environmental",
-    "engineering",
-    "renewable",
-    "MRE",
-    "offshore",
-    "data",
-    "hindcast",
-]
-
-setup(
-    name="resourcecode",
-    version=__version__,
-    license=license,
-    python_requires=">=3.9, <3.15",
-    description=description,
-    author=author,
-    author_email=author_email,
-    long_description=open("README.md", "r").read(),
-    long_description_content_type="text/markdown",
-    install_requires=install_requires,
-    classifiers=classifiers,
-    keywords=keywords,
-    url=url,
-    packages=find_packages(exclude=["test"]),
-    include_package_data=True,
-    zip_safe=False,
-    project_urls={
-        "GitHub": "https://github.com/Resourcecode-project/py-resourcecode",
-        "Web Portal": "https://resourcecode.ifremer.fr",
-        "PyPI": "https://pypi.org/project/resourcecode",
-    },
-)
diff --git a/tox.ini b/tox.ini
index 2ab8937..b714cee 100644
--- a/tox.ini
+++ b/tox.ini
@@ -1,45 +1,51 @@
 [gh]
 python =
+    3.14 = test
+    3.13 = test
     3.12 = test
     3.11 = test
-    3.10 = test
-    3.9  = test
 
 [tox]
-envlist=py{312, 311,310,39}
+requires = tox-uv
+envlist = py{311,312,313,314}
 
 [testenv:flake8]
+runner = uv-venv-lock-runner
 skip_install = true
 deps =
-  flake8 >= 3.6
+  flake8>=3.6
   nbqa
 commands =
   flake8
 
 [testenv:black]
 basepython = python3
+runner = uv-venv-lock-runner
 skip_install = true
 deps =
-  black >= 19.10b0
+  black>=19.10b0
   nbqa
 commands =
   black --check .
 
 [testenv:test]
-deps = -rdev_requirements.txt
+runner = uv-venv-lock-runner
+extras = dev
 commands = pytest {posargs:--verbose --doctest-glob README.md}
 
 [testenv:black-run]
 basepython = python3
+runner = uv-venv-lock-runner
 skip_install = true
 deps =
-  black >= 19.10b0
+  black>=19.10b0
   nbqa
 commands =
   black .
 
 [testenv:pypi-publish]
 basepython = python3
+runner = uv-venv-lock-runner
 skip_install = true
 allowlist_externals = rm
 deps =
@@ -50,18 +56,20 @@ setenv =
     TWINE_USERNAME = {env:TWINE_USERNAME:__token__}
 commands =
   rm -rf build dist .egg .egg-info
-  python3 setup.py sdist bdist_wheel
+  uv build
   twine check dist/*
   twine upload --skip-existing dist/*
 
 
 [testenv:check-manifest]
 basepython = python3
+runner = uv-venv-lock-runner
 skip_install = true
 deps = check-manifest
 commands = check-manifest
 
 [testenv:mypy]
+runner = uv-venv-lock-runner
 deps = mypy
 commands = mypy --install-types --non-interactive {posargs} resourcecode/
 
diff --git a/uv.lock b/uv.lock
new file mode 100644
index 0000000..e129757
--- /dev/null
+++ b/uv.lock
@@ -0,0 +1,1921 @@
+version = 1
+revision = 3
+requires-python = ">=3.11, <=3.14"
+resolution-markers = [
+    "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'",
+    "python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'",
+    "python_full_version < '3.12' and sys_platform == 'emscripten'",
+    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+]
+
+[[package]]
+name = "ast-serialize"
+version = "0.5.0"
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From 34104e5801ba83401dc3004666dae86d45188b5f Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Fri, 22 May 2026 14:15:21 +0200
Subject: [PATCH 12/16] chore: make versions compatible with marimo wasm

---
 pyproject.toml |  30 +--
 tox.ini        |   3 +-
 uv.lock        | 494 ++++++++-----------------------------------------
 3 files changed, 98 insertions(+), 429 deletions(-)

diff --git a/pyproject.toml b/pyproject.toml
index 210b13a..e9d3355 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -8,7 +8,7 @@ dynamic = ["version"]
 description = "The ResourceCODE Marine Data Toolbox is a python package to facilitate the access to recent hindcast database of sea-state, along with a set of state-of-the-art methods for data analysis."
 readme = "README.md"
 license = {text = "GPL-3.0-or-later"}
-requires-python = ">=3.11, <=3.14"
+requires-python = ">=3.11, <3.14"
 authors = [
     {name = "Nicolas Raillard", email = "nicolas.raillard@ifremer.fr"}
 ]
@@ -20,7 +20,6 @@ classifiers = [
     "Programming Language :: Python :: 3.11",
     "Programming Language :: Python :: 3.12",
     "Programming Language :: Python :: 3.13",
-    "Programming Language :: Python :: 3.14",
     "Programming Language :: Python :: 3 :: Only",
     "Operating System :: OS Independent",
     "License :: OSI Approved :: GNU General Public License v3 (GPL-3.0-or-later)",
@@ -44,17 +43,19 @@ keywords = [
     "data",
     "hindcast",
 ]
+
+# Minimal version of dependencies are chosen to be compatible with marimo-wasm 0.23 compatible (cf
+# https://wasm.marimo.app/pyodide-lock.json?v=0.23.7)
 dependencies = [
-    "pandas>=2.2",
-    "requests>=2.28.1",
-    "numpy>=2.0,<3.0",
-    "scipy>=1.10.1",
-    "pyextremes>=2.5.0",
-    "pytest>=7.2.1",
-    "pyarrow>=22.0.0",  # Pyodide 0.29.4 compatible (max version available)
-    "plotly>=5.4.0",
-    "xarray>=2025.12.0",  # Pyodide 0.29.4 compatible (max version available)
-    "netCDF4>=1.7.0",
+    "pandas>=2.2,<3",
+    "requests>=2.31.0,<3",
+    "numpy>=2.0,<3",
+    "scipy>=1.14.1,<2",
+    "pyextremes>=2.5.0,<3",
+    "pyarrow>=18.1.0,<19", 
+    "plotly>=6,<7",
+    "xarray>=2024.11.0",
+    "netCDF4>=1.7.0,<2",
 ]
 
 [project.urls]
@@ -95,14 +96,15 @@ dev = [
     "check-manifest",
     "tox",
     "tox-uv",
+    "pytest>=9.0.3",
 ]
 
 [tool.black]
 line-length = 120
-target-version = ["py39", "py310", "py311", "py312", "py313"]
+target-version = ["py311", "py312", "py313"]
 
 [tool.mypy]
-python_version = "3.9"
+python_version = "3.11"
 warn_return_any = true
 warn_unused_configs = true
 ignore_missing_imports = true
diff --git a/tox.ini b/tox.ini
index b714cee..291706c 100644
--- a/tox.ini
+++ b/tox.ini
@@ -1,13 +1,12 @@
 [gh]
 python =
-    3.14 = test
     3.13 = test
     3.12 = test
     3.11 = test
 
 [tox]
 requires = tox-uv
-envlist = py{311,312,313,314}
+envlist = py{311,312,313}
 
 [testenv:flake8]
 runner = uv-venv-lock-runner
diff --git a/uv.lock b/uv.lock
index e129757..e63b68d 100644
--- a/uv.lock
+++ b/uv.lock
@@ -1,19 +1,11 @@
 version = 1
 revision = 3
-requires-python = ">=3.11, <=3.14"
+requires-python = ">=3.11, <3.14"
 resolution-markers = [
-    "python_full_version >= '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
-    "python_full_version >= '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
-    "python_full_version >= '3.14' and sys_platform == 'emscripten'",
-    "python_full_version >= '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
-    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine == 'ARM64' and sys_platform == 'win32'",
-    "python_full_version >= '3.12' and python_full_version < '3.14' and platform_machine != 'ARM64' and sys_platform == 'win32'",
+    "python_full_version >= '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'",
     "python_full_version < '3.12' and platform_machine == 'ARM64' and sys_platform == 'win32'",
-    "python_full_version < '3.12' and platform_machine != 'ARM64' and sys_platform == 'win32'",
-    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform == 'emscripten'",
-    "python_full_version < '3.12' and sys_platform == 'emscripten'",
-    "python_full_version >= '3.12' and python_full_version < '3.14' and sys_platform != 'emscripten' and sys_platform != 'win32'",
-    "python_full_version < '3.12' and sys_platform != 'emscripten' and sys_platform != 'win32'",
+    "(python_full_version >= '3.12' and platform_machine != 'ARM64') or (python_full_version >= '3.12' and sys_platform != 'win32')",
+    "(python_full_version < '3.12' and platform_machine != 'ARM64') or (python_full_version < '3.12' and sys_platform != 'win32')",
 ]
 
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     { name = "mypy" },
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+    { name = "pytest" },
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 ]
 
 [[package]]

From ddff59b4d7bc471a100fe1b2d5b965c9aa1d33b7 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 11:07:17 +0200
Subject: [PATCH 13/16] style: run black

---
 doc/conf.py                                 |  4 +--
 examples/plot_0_Database_exploration.py     |  9 ++---
 examples/plot_1_data_extraction.py          | 17 +++------
 examples/plot_2_Multivariate_Extremes.py    |  1 +
 examples/plot_3_Operation_Planning.py       | 19 +++-------
 examples/plot_4_Producible.py               | 13 +++----
 resourcecode/client.py                      | 18 +++-------
 resourcecode/eva/censgaussfit.py            |  4 +--
 resourcecode/eva/huseby.py                  | 23 +++---------
 resourcecode/io.py                          |  8 ++---
 resourcecode/opsplanning/__init__.py        | 39 ++++++--------------
 resourcecode/producible_assessment/main.py  | 28 ++++-----------
 resourcecode/resassess/__init__.py          | 15 +++-----
 resourcecode/spectrum/convert2D1D.py        |  4 +--
 resourcecode/spectrum/download_data.py      | 40 +++------------------
 resourcecode/spectrum/jonswap.py            | 13 ++-----
 resourcecode/spectrum/plots.py              |  2 +-
 resourcecode/weatherwindow/__init__.py      |  1 -
 resourcecode/weatherwindow/weatherwindow.py |  2 +-
 tests/test_client.py                        | 12 ++-----
 tests/test_resassess.py                     |  4 +--
 tests/test_spectrum.py                      | 16 +++------
 tests/test_weather_window.py                | 12 ++-----
 23 files changed, 72 insertions(+), 232 deletions(-)

diff --git a/doc/conf.py b/doc/conf.py
index 076974a..051e530 100644
--- a/doc/conf.py
+++ b/doc/conf.py
@@ -70,9 +70,7 @@
 sphinx_gallery_conf = {
     "examples_dirs": "../examples",  # path to your example scripts
     "gallery_dirs": "auto_examples",  # path to where to save gallery generated output
-    "within_subsection_order": (
-        sphinx_gallery.sorting.FileNameSortKey
-    ),  # to sort gallery examples by file name
+    "within_subsection_order": (sphinx_gallery.sorting.FileNameSortKey),  # to sort gallery examples by file name
 }
 
 # Add any paths that contain templates here, relative to this directory.
diff --git a/examples/plot_0_Database_exploration.py b/examples/plot_0_Database_exploration.py
index d638dab..30b54ee 100644
--- a/examples/plot_0_Database_exploration.py
+++ b/examples/plot_0_Database_exploration.py
@@ -3,6 +3,7 @@
 Visualize the database configuration: nodes, bathymetry...
 ==========================================================
 """
+
 import resourcecode
 import numpy as np
 import matplotlib.pyplot as plot
@@ -27,9 +28,7 @@
 # the requested location (in meters).
 
 # We select the closest node from given coordinates
-selected_node = resourcecode.data.get_closest_point(
-    latitude=48.3026514, longitude=-4.6861533
-)
+selected_node = resourcecode.data.get_closest_point(latitude=48.3026514, longitude=-4.6861533)
 selected_node
 
 # %%
@@ -80,9 +79,7 @@
 # of code shows and example of such a map.
 
 # Importing the data for plotting
-tri = (
-    resourcecode.get_triangles().to_numpy() - 1
-)  # The '-1' is due to the Zero-based numbering of python
+tri = resourcecode.get_triangles().to_numpy() - 1  # The '-1' is due to the Zero-based numbering of python
 field_mesh = resourcecode.data.get_grid_field().to_numpy()
 triang = mtri.Triangulation(field_mesh[:, 1], field_mesh[:, 2], tri)
 
diff --git a/examples/plot_1_data_extraction.py b/examples/plot_1_data_extraction.py
index 9094143..d6062de 100644
--- a/examples/plot_1_data_extraction.py
+++ b/examples/plot_1_data_extraction.py
@@ -3,6 +3,7 @@
 Extract some time-series from the database and analysis
 ==========================================================
 """
+
 import resourcecode
 import resourcecode.spectrum
 import matplotlib.pyplot as plot
@@ -15,14 +16,10 @@
 # Below, we will look for data next to the location of interest, located in the vicinity of Brest Bay.
 # We will look at the time-series data and also some spectral data
 #
-selected_node = resourcecode.data.get_closest_point(
-    latitude=48.3026514, longitude=-4.6861533
-)
+selected_node = resourcecode.data.get_closest_point(latitude=48.3026514, longitude=-4.6861533)
 selected_node
 # %%
-selected_specPoint = resourcecode.data.get_closest_station(
-    latitude=48.3026514, longitude=-4.6861533
-)
+selected_specPoint = resourcecode.data.get_closest_station(latitude=48.3026514, longitude=-4.6861533)
 selected_specPoint
 
 # %%
@@ -77,9 +74,7 @@
 # corresponding to the orange dots of the web portal. This is possible thanks to the `get_2D_spectrum` and
 # `get_1D_spectrum` from the *spectrum* module. An example is shown below:
 
-spec = resourcecode.spectrum.get_2D_spectrum(
-    selected_specPoint[0], years=["2010"], months=["01"]
-)
+spec = resourcecode.spectrum.get_2D_spectrum(selected_specPoint[0], years=["2010"], months=["01"])
 
 # %%
 # And we offer function to represent the spectral data, both for 2D and 1D spectrum.
@@ -97,7 +92,5 @@
 # Among the functionalities of the toolbox, it is possible to compute the sea-state parameters from spectral data. Small
 # discrepancies can be found between the Hindcast sea-state parameters and the one computed with the toolbox.
 
-parameters_df = resourcecode.spectrum.compute_parameters_from_2D_spectrum(
-    spec, use_depth=True
-)
+parameters_df = resourcecode.spectrum.compute_parameters_from_2D_spectrum(spec, use_depth=True)
 parameters_df.head()
diff --git a/examples/plot_2_Multivariate_Extremes.py b/examples/plot_2_Multivariate_Extremes.py
index bbd4f0c..0ce9d26 100644
--- a/examples/plot_2_Multivariate_Extremes.py
+++ b/examples/plot_2_Multivariate_Extremes.py
@@ -3,6 +3,7 @@
 Modelling multivariate extremes
 ===============================
 """
+
 # %%
 # Extreme value modelling is a central topic in the design of offshore structures.
 #
diff --git a/examples/plot_3_Operation_Planning.py b/examples/plot_3_Operation_Planning.py
index 2c36470..2ec1ac5 100644
--- a/examples/plot_3_Operation_Planning.py
+++ b/examples/plot_3_Operation_Planning.py
@@ -3,6 +3,7 @@
 Use-case example of the Operational Planning module
 ===================================================
 """
+
 # %%
 #
 # In this page, we will present some of the functionalities offered by the toolbox
@@ -34,9 +35,7 @@
 #
 # We have selected a location next to Ushant island, node number `36855`
 
-data = client.get_dataframe_from_url(
-    "https://resourcecode.ifremer.fr/explore?pointId=136855", parameters=("hs", "tp")
-)
+data = client.get_dataframe_from_url("https://resourcecode.ifremer.fr/explore?pointId=136855", parameters=("hs", "tp"))
 
 # %%
 # Weather windows
@@ -69,12 +68,7 @@
 
 windetect = ww_calc(data_matching_criteria, winlen=winlen, concurrent_windows=False)
 results = wwmonstats(windetect)
-stats = (
-    results.describe(percentiles=percentiles)
-    .drop(["count", "std"])
-    .transpose()
-    .sort_index()
-)
+stats = results.describe(percentiles=percentiles).drop(["count", "std"]).transpose().sort_index()
 
 # %%
 # Plotting the monthly statistics
@@ -142,12 +136,7 @@
 
 oplendetect = oplen_calc(data_matching_criteria, oplen, critical_operation)
 results = olmonstats(oplendetect)
-stats = (
-    results.describe(percentiles=percentiles)
-    .drop(["count", "std"])
-    .transpose()
-    .sort_index()
-)
+stats = results.describe(percentiles=percentiles).drop(["count", "std"]).transpose().sort_index()
 
 # %%
 # And finally produce visual exploration of the durations.
diff --git a/examples/plot_4_Producible.py b/examples/plot_4_Producible.py
index bbe285e..1612f08 100644
--- a/examples/plot_4_Producible.py
+++ b/examples/plot_4_Producible.py
@@ -7,6 +7,7 @@
 data as an input and capture width data of a standard WEC to simulate the behaviour and estimate
 energy that can be harvested with this device from the slected location.
 """
+
 # %%
 # .. seealso::
 #    In addition, a demonstration tool based on this module can be accessed on
@@ -57,9 +58,7 @@
 # For this example, we used the data from the SEMREVO location.
 # We only need the frequency spectrum in this case, so we convert it to a pandas DataFrame.
 
-spec1D = resourcecode.spectrum.download_data.get_1D_spectrum(
-    "SEMREVO", ["2014"], ["02"]
-)
+spec1D = resourcecode.spectrum.download_data.get_1D_spectrum("SEMREVO", ["2014"], ["02"])
 spec = spec1D.ef.to_pandas()
 
 # The frequency has been truncated, so here we reconcile both
@@ -172,9 +171,7 @@
     ax=ax2,
     bins=len(pto.capture_width.columns),
     legend=False,
-    weights=np.ones_like(pto_damp_kn[pto_damp_kn.columns[0]])
-    * 100.0
-    / len(pto_damp_kn),
+    weights=np.ones_like(pto_damp_kn[pto_damp_kn.columns[0]]) * 100.0 / len(pto_damp_kn),
 )
 ax2.grid()
 ax2.set_xlabel("PTO damping (kN.s/m)")
@@ -214,9 +211,7 @@
     ax=ax4,
     bins=len(pto.capture_width.columns),
     legend=False,
-    weights=np.ones_like(pto_damp_kn[pto_damp_kn.columns[0]])
-    * 100.0
-    / len(pto_damp_kn),
+    weights=np.ones_like(pto_damp_kn[pto_damp_kn.columns[0]]) * 100.0 / len(pto_damp_kn),
 )
 ax4.grid()
 ax4.set_xlabel("PTO damping (kN.s/m) - JONWSAP")
diff --git a/resourcecode/client.py b/resourcecode/client.py
index 035e331..81f26fd 100644
--- a/resourcecode/client.py
+++ b/resourcecode/client.py
@@ -114,9 +114,7 @@ def get_dataframe(
 
         return self.get_dataframe_from_criteria(criteria)
 
-    def get_dataframe_from_url(
-        self, selection_url: str, parameters: Iterable[str] = ("hs",)
-    ) -> pd.DataFrame:
+    def get_dataframe_from_url(self, selection_url: str, parameters: Iterable[str] = ("hs",)) -> pd.DataFrame:
         """Get the pandas dataframe of the data described by the url
 
         Parameters
@@ -214,15 +212,10 @@ def get_dataframe_from_criteria(self, criteria: Union[str, dict]) -> pd.DataFram
         try:
             node_id = int(parsed_criteria["node"])
         except ValueError:  # failed to convert node to an integer
-            raise BadPointIdError(
-                "Point Id must be an integer, can not be "
-                f"{parsed_criteria['node']!r}"
-            )
+            raise BadPointIdError("Point Id must be an integer, can not be " f"{parsed_criteria['node']!r}")
         else:
             if node_id not in self.possible_points_id:
-                raise BadPointIdError(
-                    f"{parsed_criteria['node']} is an unknown pointId."
-                )
+                raise BadPointIdError(f"{parsed_criteria['node']} is an unknown pointId.")
 
         # Cassandra database start indexing at 1, so decrement node
         parsed_criteria["node"] = parsed_criteria["node"] - 1
@@ -305,7 +298,4 @@ def _get_rawdata_from_criteria(self, single_parameter_criteria):
         if response.ok:
             return response.json()
 
-        raise ValueError(
-            "Unable to get a response from the database"
-            "(status code = {})".format(response.status_code)
-        )
+        raise ValueError("Unable to get a response from the database" "(status code = {})".format(response.status_code))
diff --git a/resourcecode/eva/censgaussfit.py b/resourcecode/eva/censgaussfit.py
index 09c501b..f107687 100644
--- a/resourcecode/eva/censgaussfit.py
+++ b/resourcecode/eva/censgaussfit.py
@@ -70,9 +70,7 @@ def fitness(cov):
             # Return a large penalty for non-PSD matrices
             return 1e10
 
-        rv = multivariate_normal(
-            mean=np.zeros(len(cov)), cov=sigma, allow_singular=True
-        )
+        rv = multivariate_normal(mean=np.zeros(len(cov)), cov=sigma, allow_singular=True)
         upper_point = np.full(len(cov), th_norm)
         prob = 1 - rv.cdf(upper_point)
 
diff --git a/resourcecode/eva/huseby.py b/resourcecode/eva/huseby.py
index a51951f..344ef5a 100644
--- a/resourcecode/eva/huseby.py
+++ b/resourcecode/eva/huseby.py
@@ -79,10 +79,7 @@ def huseby(X: np.ndarray, prob: np.ndarray, ntheta: int):
             Y.sort()
             C[i, :] = (Y[kc] - Y[kf]) * dk + Y[kf]
 
-        ps = (
-            ctheta[:, np.newaxis] @ ctheta[:, np.newaxis].T
-            + stheta[:, np.newaxis] @ stheta[:, np.newaxis].T
-        )
+        ps = ctheta[:, np.newaxis] @ ctheta[:, np.newaxis].T + stheta[:, np.newaxis] @ stheta[:, np.newaxis].T
         ps[ps < 0] = 0
 
         for iprob in range(len(prob)):
@@ -99,9 +96,7 @@ def huseby(X: np.ndarray, prob: np.ndarray, ntheta: int):
 
     if M == 3:
         C = np.ones((ntheta, ntheta, len(prob)), dtype=float)
-        indj = np.hstack(
-            (np.arange(0, ntheta / 4 + 1), ntheta - np.arange(1, ntheta / 4 + 1))
-        ).astype(int)
+        indj = np.hstack((np.arange(0, ntheta / 4 + 1), ntheta - np.arange(1, ntheta / 4 + 1))).astype(int)
         nindj = ntheta / 2 + 1
         ncdir = int(ntheta * nindj)
         cdir = np.zeros((ncdir, M))
@@ -120,12 +115,8 @@ def huseby(X: np.ndarray, prob: np.ndarray, ntheta: int):
         ps[ps < 0] = 0
 
         a = np.arange(ntheta / 4 + 1, ntheta - ntheta / 4).astype(int)
-        b = np.hstack((np.arange(ntheta / 2, ntheta), np.arange(0, ntheta / 2))).astype(
-            int
-        )
-        c = np.hstack(
-            (np.arange(ntheta / 4 - 1, -1, -1), ntheta - np.arange(1, ntheta / 4))
-        ).astype(int)
+        b = np.hstack((np.arange(ntheta / 2, ntheta), np.arange(0, ntheta / 2))).astype(int)
+        c = np.hstack((np.arange(ntheta / 4 - 1, -1, -1), ntheta - np.arange(1, ntheta / 4))).astype(int)
         d = ctheta[:, np.newaxis] @ ctheta[np.newaxis, indj]
         e = np.repeat(stheta[indj], ntheta).reshape((-1, ntheta)).T
         f = stheta[:, np.newaxis] @ ctheta[np.newaxis, indj]
@@ -159,11 +150,7 @@ def huseby(X: np.ndarray, prob: np.ndarray, ntheta: int):
                 + X_mean[2]
             )
 
-            Yres[:, iprob] = (
-                L[0, 1] * X_std[1] * Xres[:, iprob]
-                + L[1, 1] * X_std[1] * Yres[:, iprob]
-                + X_mean[1]
-            )
+            Yres[:, iprob] = L[0, 1] * X_std[1] * Xres[:, iprob] + L[1, 1] * X_std[1] * Yres[:, iprob] + X_mean[1]
 
             Xres[:, iprob] = L[0, 0] * X_std[0] * Xres[:, iprob] + X_mean[0]
 
diff --git a/resourcecode/io.py b/resourcecode/io.py
index 20f9517..293f064 100644
--- a/resourcecode/io.py
+++ b/resourcecode/io.py
@@ -38,9 +38,7 @@
     NETCFD_DESCRIPTION = json.load(fobj)
 
 
-def to_netcdf(
-    dataframe: pd.DataFrame, path: Union[str, Path, None] = None
-) -> Union[bytes, "Delayed", None]:
+def to_netcdf(dataframe: pd.DataFrame, path: Union[str, Path, None] = None) -> Union[bytes, "Delayed", None]:
     """Write dataframe contents to a netCFD file.
 
     Parameters
@@ -84,9 +82,7 @@ def to_mat(
 
     """
 
-    df = dataframe.reset_index(
-        names="time"
-    )  # convert the pandas index to a proper variable
+    df = dataframe.reset_index(names="time")  # convert the pandas index to a proper variable
     df.time = 719529 + pd.to_numeric(df.time) / (
         3600 * 1e9 * 24
     )  # 1970-01-01 + time in fractional days from nanoseconds
diff --git a/resourcecode/opsplanning/__init__.py b/resourcecode/opsplanning/__init__.py
index ede33ef..424b6a8 100644
--- a/resourcecode/opsplanning/__init__.py
+++ b/resourcecode/opsplanning/__init__.py
@@ -56,6 +56,7 @@
 
 @author: david.darbinyan
 """
+
 from itertools import product
 
 import pandas as pd
@@ -92,9 +93,7 @@ def _get_timestep(data: pd.DataFrame) -> pd.Timedelta:
     return tstep
 
 
-def ww_calc(
-    critsubs: pd.DataFrame, winlen: float, concurrent_windows: bool = True
-) -> pd.Series:
+def ww_calc(critsubs: pd.DataFrame, winlen: float, concurrent_windows: bool = True) -> pd.Series:
     """
     Method that calculates and returns start date of each weather window
 
@@ -127,9 +126,7 @@ def ww_calc(
         strtwin = critsubs.index.values[k]
         thistime = strtwin
         nexttime = critsubs.index.values[k + 1]
-        while pd.Timedelta(nexttime - thistime) <= tstep and k < (
-            critsubs.shape[0] - 2
-        ):
+        while pd.Timedelta(nexttime - thistime) <= tstep and k < (critsubs.shape[0] - 2):
             k += 1
             if pd.Timedelta(nexttime - strtwin) >= dt.timedelta(seconds=3600 * winlen):
                 windetect.append(strtwin)
@@ -202,10 +199,7 @@ def oplen_calc(critsubs, oplen, critical_operation=False, date=1, monstrt=True):
         elif isinstance(date, int) and date >= 1:
             dayval = date
         else:
-            msg = (
-                "Variable date in monthly results calculation should be"
-                " positive integer or datetime object"
-            )
+            msg = "Variable date in monthly results calculation should be" " positive integer or datetime object"
             raise NameError(msg)
         yerng = [min(critsubs.index).year, max(critsubs.index).year]
         morng = [min(critsubs.index).month, max(critsubs.index).month]
@@ -215,20 +209,13 @@ def oplen_calc(critsubs, oplen, critical_operation=False, date=1, monstrt=True):
             freq="MS",
         )
         daterng = daterng.shift(dayval - 1, freq="D")
-        oplendetect = pd.Series(
-            np.zeros(daterng.shape[0], dtype="timedelta64[s]"), index=daterng
-        )
+        oplendetect = pd.Series(np.zeros(daterng.shape[0], dtype="timedelta64[s]"), index=daterng)
     elif monstrt is False:
         if isinstance(date, dt.datetime):
             daterng = pd.date_range(start=date, end=date)
-            oplendetect = pd.Series(
-                np.zeros(daterng.shape[0], dtype="timedelta64[s]"), index=daterng
-            )
+            oplendetect = pd.Series(np.zeros(daterng.shape[0], dtype="timedelta64[s]"), index=daterng)
         else:
-            msg = (
-                "Variable date in single result calculation should be"
-                " a datetime object"
-            )
+            msg = "Variable date in single result calculation should be" " a datetime object"
             raise NameError(msg)
     else:
         raise NameError("Input option monstrt should be boolean")
@@ -284,9 +271,7 @@ def wwmonstats(windetect):
     yeun = windetect.dt.year.unique()
     moun = windetect.dt.month.unique()
     yeun.sort()
-    wwmonres = pd.DataFrame(
-        np.zeros([yeun.shape[0], moun.shape[0]]), columns=moun, index=yeun
-    )
+    wwmonres = pd.DataFrame(np.zeros([yeun.shape[0], moun.shape[0]]), columns=moun, index=yeun)
 
     for ye, mo in product(yeun, moun):
         subs = windetect[(windetect.dt.year == ye) & (windetect.dt.month == mo)]
@@ -318,12 +303,8 @@ def olmonstats(oplendetect):
     moun.sort()
     yeun.sort()
 
-    olmonres = pd.DataFrame(
-        np.zeros([yeun.shape[0], moun.shape[0]]), columns=moun, index=yeun
-    )
+    olmonres = pd.DataFrame(np.zeros([yeun.shape[0], moun.shape[0]]), columns=moun, index=yeun)
     for ye, mo in product(yeun, moun):
-        subs = oplendetect[
-            (oplendetect.index.year == ye) & (oplendetect.index.month == mo)
-        ]
+        subs = oplendetect[(oplendetect.index.year == ye) & (oplendetect.index.month == mo)]
         olmonres.at[ye, mo] = subs[0].days * 24 + subs[0].seconds / 3600
     return olmonres
diff --git a/resourcecode/producible_assessment/main.py b/resourcecode/producible_assessment/main.py
index 66ab81b..4b800e7 100644
--- a/resourcecode/producible_assessment/main.py
+++ b/resourcecode/producible_assessment/main.py
@@ -40,25 +40,19 @@ def __init__(self, capture_width, s):
         self.times = s.index  # time vector
         self.freqs = s.columns  # frequency vector
         # time domain data
-        self.power = pd.DataFrame(
-            np.zeros(len(self.times)), index=self.times
-        )  # absorbed power (W)
+        self.power = pd.DataFrame(np.zeros(len(self.times)), index=self.times)  # absorbed power (W)
         # absorbed power, no reduction (W)
         self.power_no_red = pd.DataFrame(np.zeros(len(self.times)), index=self.times)
         self.mean_power = None  # mean absorbed power (W)
         self.mean_power_no_red = None  # mean absorbed power, no reduction (W)
         self.median_power = None  # median absorbed power (W)
         self.median_power_no_red = None  # median absorbed power, no reduction (W)
-        self.pto_damp = pd.DataFrame(
-            np.zeros(len(self.times)), index=self.times
-        )  # PTO damping (Ns/m)
+        self.pto_damp = pd.DataFrame(np.zeros(len(self.times)), index=self.times)  # PTO damping (Ns/m)
         # PTO damping, no reduction (Ns/m)
         self.pto_damp_no_red = pd.DataFrame(np.zeros(len(self.times)), index=self.times)
         self.cumulative_power = None  # cumulative power (W)
         # frequency domain data
-        self.freq_data = (
-            None  # contains Hs, Tp, absorbed power and PTO damping in frequency domain
-        )
+        self.freq_data = None  # contains Hs, Tp, absorbed power and PTO damping in frequency domain
         # interpolate frequencies (if needed) to match sea-state and PTO capture width data
         self.interp_freq()
         # power computation
@@ -95,9 +89,7 @@ def interp_freq(self):
                     continue
 
                 known_freqs.add(freq)
-                self.capture_width = self.capture_width.append(
-                    pd.Series(name=freq, dtype="float64")
-                )
+                self.capture_width = self.capture_width.append(pd.Series(name=freq, dtype="float64"))
                 self.capture_width.sort_index(inplace=True)
                 self.capture_width = self.capture_width.interpolate()
 
@@ -176,16 +168,12 @@ def get_power_pto_damp(self):
                 "PTO damping": self.pto_damp.values.flatten(),
             }
         )
-        self.mean_power = pd.DataFrame(
-            data=self.power.mean()[0] * np.ones(len(self.times)), index=self.times
-        )
+        self.mean_power = pd.DataFrame(data=self.power.mean()[0] * np.ones(len(self.times)), index=self.times)
         self.mean_power_no_red = pd.DataFrame(
             data=self.power_no_red.mean()[0] * np.ones(len(self.times)),
             index=self.times,
         )
-        self.median_power = pd.DataFrame(
-            data=self.power.median()[0] * np.ones(len(self.times)), index=self.times
-        )
+        self.median_power = pd.DataFrame(data=self.power.median()[0] * np.ones(len(self.times)), index=self.times)
         self.median_power_no_red = pd.DataFrame(
             data=self.power_no_red.median()[0] * np.ones(len(self.times)),
             index=self.times,
@@ -195,9 +183,7 @@ def get_cumulative_power(self):
         """Compute PTO cumulative power"""
 
         power_ordered = self.power.sort_values(by=0)
-        self.cumulative_power = pd.DataFrame(
-            data=100 * power_ordered.cumsum() / power_ordered.sum()
-        )
+        self.cumulative_power = pd.DataFrame(data=100 * power_ordered.cumsum() / power_ordered.sum())
 
     @staticmethod
     def compute_spectrum_moment(f, s, n=0):
diff --git a/resourcecode/resassess/__init__.py b/resourcecode/resassess/__init__.py
index 0ccdf82..895f9ca 100644
--- a/resourcecode/resassess/__init__.py
+++ b/resourcecode/resassess/__init__.py
@@ -36,6 +36,7 @@
 
 @author: david.darbinyan
 """
+
 from pathlib import Path
 from typing import Tuple
 
@@ -45,7 +46,6 @@
 import plotly.express as px
 import plotly.graph_objects as go
 
-
 pd.options.plotting.backend = "plotly"
 
 
@@ -71,9 +71,7 @@ def exceed(df: pd.DataFrame) -> Tuple[pd.DataFrame, np.ndarray]:
     return datasrt, exceedance
 
 
-def univar_monstats(
-    df: pd.DataFrame, varnm: str
-) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
+def univar_monstats(df: pd.DataFrame, varnm: str) -> Tuple[pd.DataFrame, pd.DataFrame, pd.DataFrame]:
     """
     Method to calculate univariate statistics for any input variable. Used in
     resource assessment to produce deliverables as per IEC
@@ -101,10 +99,7 @@ def univar_monstats(
     """
     if varnm not in df.columns:
         existing_col = ", ".join(sorted(df.columns))
-        raise NameError(
-            f"Parameter {varnm} is not in the dataframe. "
-            f"Possible values are: {existing_col}"
-        )
+        raise NameError(f"Parameter {varnm} is not in the dataframe. " f"Possible values are: {existing_col}")
     # sort rows according to the variable selected
     sorted_df = df[[varnm]].sort_values(by=varnm)
     sorted_df.index = pd.to_datetime(df.index, format="%d/%m/%Y %H:%M")
@@ -113,9 +108,7 @@ def univar_monstats(
     sorted_df["month_index"] = sorted_df.index.month
     sorted_df["month"] = sorted_df.index.month_name()
     sorted_df["year"] = sorted_df.index.year
-    sorted_df["Exceedance"] = sorted_df.groupby("month")[varnm].rank(
-        method="min", pct=True
-    )
+    sorted_df["Exceedance"] = sorted_df.groupby("month")[varnm].rank(method="min", pct=True)
 
     res = [sorted_df]
 
diff --git a/resourcecode/spectrum/convert2D1D.py b/resourcecode/spectrum/convert2D1D.py
index cf5532f..893df16 100644
--- a/resourcecode/spectrum/convert2D1D.py
+++ b/resourcecode/spectrum/convert2D1D.py
@@ -22,9 +22,7 @@
 import xarray
 
 
-def raw_convert_spectrum_2Dto1D(
-    spectrum_2D: np.ndarray, vdir: np.ndarray
-) -> np.ndarray:
+def raw_convert_spectrum_2Dto1D(spectrum_2D: np.ndarray, vdir: np.ndarray) -> np.ndarray:
     """
     Converts the 2D spectrum to a 1D spectrum
 
diff --git a/resourcecode/spectrum/download_data.py b/resourcecode/spectrum/download_data.py
index d4873c2..13ae3ef 100644
--- a/resourcecode/spectrum/download_data.py
+++ b/resourcecode/spectrum/download_data.py
@@ -54,26 +54,12 @@ def download_single_2D_file(
         A dataset object with the data read from the downloaded netCDF file.
     """
     base = "ftp://ftp.ifremer.fr/ifremer/dataref/ww3/resourcecode/HINDCAST/"
-    url = (
-        base
-        + year
-        + "/"
-        + month
-        + "/SPEC_NC/RSCD_WW3-RSCD-UG-"
-        + point
-        + "_"
-        + year
-        + month
-        + "_spec.nc"
-    )
+    url = base + year + "/" + month + "/SPEC_NC/RSCD_WW3-RSCD-UG-" + point + "_" + year + month + "_spec.nc"
 
     if point not in set(get_grid_spec().name):
         raise ValueError(f"{point} is an unkown location")
 
-    if (
-        int(year) < get_covered_period()["start"].year
-        or int(year) > get_covered_period()["end"].year
-    ):
+    if int(year) < get_covered_period()["start"].year or int(year) > get_covered_period()["end"].year:
         raise ValueError(f"{year} is outsite the covered period")
 
     if int(month) < 1 or int(month) > 12:
@@ -125,32 +111,16 @@ def download_single_1D_file(
         A dataset object with the data read from the downloaded netCDF file.
     """
     base = "ftp://ftp.ifremer.fr/ifremer/dataref/ww3/resourcecode/HINDCAST/"
-    url = (
-        base
-        + year
-        + "/"
-        + month
-        + "/FREQ_NC/RSCD_WW3-RSCD-UG-"
-        + point
-        + "_"
-        + year
-        + month
-        + "_freq.nc"
-    )
+    url = base + year + "/" + month + "/FREQ_NC/RSCD_WW3-RSCD-UG-" + point + "_" + year + month + "_freq.nc"
 
     if point not in set(get_grid_spec().name):
         raise ValueError(f"{point} is an unkown location")
 
-    if (
-        int(year) < get_covered_period()["start"].year
-        or int(year) > get_covered_period()["end"].year
-    ):
+    if int(year) < get_covered_period()["start"].year or int(year) > get_covered_period()["end"].year:
         raise ValueError(f"{year} is outsite the covered period")
 
     if int(month) < 1 or int(month) > 12:
-        raise ValueError(
-            f"{month} must by between 1 and 12 with a leading zero if needed."
-        )
+        raise ValueError(f"{month} must by between 1 and 12 with a leading zero if needed.")
 
     with contextlib.closing(urllib.request.urlopen(url)) as response:
         with tempfile.NamedTemporaryFile(delete=False, suffix=".nc") as tmp_file:
diff --git a/resourcecode/spectrum/jonswap.py b/resourcecode/spectrum/jonswap.py
index aabef0d..b14fb40 100644
--- a/resourcecode/spectrum/jonswap.py
+++ b/resourcecode/spectrum/jonswap.py
@@ -50,22 +50,13 @@ def jonswap(hs: float, tp: float, gamma: float, freq: np.ndarray) -> np.ndarray:
         * (hs**2)
         / (tp**4)
         * np.exp(-5.0 / (4 * tp**4) / (freq**4))
-        * gamma
-        ** (
-            np.exp(
-                -((freq - 1 / tp) ** 2)
-                * (tp**2)
-                / (2 * (np.where(freq < (1.0 / tp), 0.07, 0.09) ** 2))
-            )
-        )
+        * gamma ** (np.exp(-((freq - 1 / tp) ** 2) * (tp**2) / (2 * (np.where(freq < (1.0 / tp), 0.07, 0.09) ** 2))))
     )
     alpha = (hs**2) / (16 * np.trapezoid(sf, x=freq))
     return alpha * sf
 
 
-def compute_jonswap_wave_spectrum(
-    seastate_data: pd.DataFrame, freq: np.ndarray, gamma: float = 1
-) -> pd.DataFrame:
+def compute_jonswap_wave_spectrum(seastate_data: pd.DataFrame, freq: np.ndarray, gamma: float = 1) -> pd.DataFrame:
     """Computes JONSWAP wave spectrum time series from Hs and Tp time series
 
     Parameters
diff --git a/resourcecode/spectrum/plots.py b/resourcecode/spectrum/plots.py
index 91b9237..3b1cc92 100644
--- a/resourcecode/spectrum/plots.py
+++ b/resourcecode/spectrum/plots.py
@@ -100,7 +100,7 @@ def plot_2D_spectrum(
                     f"Mean direction at Tp: {params.Thetapm:.2f}°",
                     f"Directionnal spreading: {params.Spr:.2f}°",
                     f"Wind speed: {float(data.wnd[time]):.2f}m/s",
-                    f"\u27F6, wind direction: {float(data.wnddir[time]):.2f}°",
+                    f"\u27f6, wind direction: {float(data.wnddir[time]):.2f}°",
                 ]
             )
 
diff --git a/resourcecode/weatherwindow/__init__.py b/resourcecode/weatherwindow/__init__.py
index 15f4754..dd51aa1 100644
--- a/resourcecode/weatherwindow/__init__.py
+++ b/resourcecode/weatherwindow/__init__.py
@@ -24,7 +24,6 @@
 @author: Christophe Maisondieu
 """
 
-
 from resourcecode.weatherwindow.weatherwindow import (
     compute_weather_windows,
     fit_weibull_distribution,
diff --git a/resourcecode/weatherwindow/weatherwindow.py b/resourcecode/weatherwindow/weatherwindow.py
index 2ad2d09..1bf92cb 100644
--- a/resourcecode/weatherwindow/weatherwindow.py
+++ b/resourcecode/weatherwindow/weatherwindow.py
@@ -240,7 +240,7 @@ def fit_weibull_distribution(hs: pd.Series) -> WeibullDistributionResult:
         x0 = x0 + dx
         X = np.log(bins - x0)
 
-        ([p0, p1], [residual], _, _, _) = np.polyfit(X, Y, 1, full=True)
+        [p0, p1], [residual], _, _, _ = np.polyfit(X, Y, 1, full=True)
 
         if residual <= previous_residual:
             # SC: in my opinion, we should update k and b, and then break if the
diff --git a/tests/test_client.py b/tests/test_client.py
index 6a42224..901f74a 100644
--- a/tests/test_client.py
+++ b/tests/test_client.py
@@ -60,9 +60,7 @@ def mock_requests_get_raw_data(query_url, parameters):
         for date, value in data["result"]["data"]:
             # start_date and end_date must be multiplied by 1e3, because
             # cassandra returns milliseconds
-            if date is not None and (
-                start_date is not None and date < start_date * 1e3
-            ):
+            if date is not None and (start_date is not None and date < start_date * 1e3):
                 continue
 
             if date and end_date is not None and date > end_date * 1e3:
@@ -139,9 +137,7 @@ def test_get_raw_data():
     parameter = "fp"
     client = resourcecode.Client()
 
-    with mock.patch(
-        "requests.get", side_effect=mock_requests_get_raw_data
-    ) as mock_requests_get:
+    with mock.patch("requests.get", side_effect=mock_requests_get_raw_data) as mock_requests_get:
         json_data = client._get_rawdata_from_criteria(
             {
                 "parameter": [
@@ -150,9 +146,7 @@ def test_get_raw_data():
             }
         )
 
-    mock_requests_get.assert_called_once_with(
-        client.cassandra_base_url + "api/timeseries", {"parameter": [parameter]}
-    )
+    mock_requests_get.assert_called_once_with(client.cassandra_base_url + "api/timeseries", {"parameter": [parameter]})
     assert json_data["query"]["parameterCode"] == parameter
 
     dataset_size = json_data["result"]["dataSetSize"]
diff --git a/tests/test_resassess.py b/tests/test_resassess.py
index b85c237..fca8a99 100644
--- a/tests/test_resassess.py
+++ b/tests/test_resassess.py
@@ -85,9 +85,7 @@ def test_univar_monstats(data):
     stored_results = ("monthly_stat.csv", "yearly_stat.csv")
     for result, expected_result_path in zip((dtm, dty), stored_results):
         path = DATA_DIR / "resassess" / expected_result_path
-        expected_result = pd.read_csv(
-            path, index_col=0, dtype={"month_index": np.int32}
-        )
+        expected_result = pd.read_csv(path, index_col=0, dtype={"month_index": np.int32})
         # count is the first column return by describe
         count_index = result.columns.get_loc("count")
 
diff --git a/tests/test_spectrum.py b/tests/test_spectrum.py
index c991bed..0947c71 100644
--- a/tests/test_spectrum.py
+++ b/tests/test_spectrum.py
@@ -51,9 +51,7 @@ def test_compute_parameter_1D():
     depth = float(np.loadtxt(DATA_DIR / "spectrum" / "depth.csv", delimiter=","))
     etfh = np.loadtxt(DATA_DIR / "spectrum" / "Etfh.csv", delimiter=",")
 
-    expected_parameters = SeaStatesParameters(
-        *np.loadtxt(DATA_DIR / "spectrum" / "parameters_1D.csv", delimiter=",")
-    )
+    expected_parameters = SeaStatesParameters(*np.loadtxt(DATA_DIR / "spectrum" / "parameters_1D.csv", delimiter=","))
     got_parameters = raw_compute_parameters_from_1D_spectrum(etfh, freq, depth)
 
     assert got_parameters.approx(expected_parameters)
@@ -65,9 +63,7 @@ def test_compute_parameter_2D():
     vdir = np.loadtxt(DATA_DIR / "spectrum" / "dir.csv", delimiter=",")
     depth = float(np.loadtxt(DATA_DIR / "spectrum" / "depth.csv", delimiter=","))
 
-    expected_parameters = SeaStatesParameters(
-        *np.loadtxt(DATA_DIR / "spectrum" / "parameters_2D.csv", delimiter=",")
-    )
+    expected_parameters = SeaStatesParameters(*np.loadtxt(DATA_DIR / "spectrum" / "parameters_2D.csv", delimiter=","))
     got_parameters = raw_compute_parameters_from_2D_spectrum(spec, freq, vdir, depth)
 
     assert got_parameters.approx(expected_parameters)
@@ -88,9 +84,7 @@ def test_download_2D_file():
     scale_factor = expected_spectrum["efth"].encoding.get("scale_factor", 1.0)
     add_offset = expected_spectrum["efth"].encoding.get("add_offset", 0.0)
     efth_decoded = efth_encoded * scale_factor + add_offset
-    expected_spectrum = expected_spectrum.assign(
-        Ef=np.power(10.0, efth_decoded) - 1e-12
-    )
+    expected_spectrum = expected_spectrum.assign(Ef=np.power(10.0, efth_decoded) - 1e-12)
     expected_spectrum = expected_spectrum.drop_vars("efth")
 
     got_spectrum = get_2D_spectrum("W001933N55743", ["2016"], ["05"])
@@ -99,9 +93,7 @@ def test_download_2D_file():
 
 
 def test_download_1D_file():
-    expected_spectrum = xarray.open_dataset(
-        DATA_DIR / "spectrum" / "RSCD_WW3-RSCD-UG-W001933N55743_201605_freq.nc"
-    )
+    expected_spectrum = xarray.open_dataset(DATA_DIR / "spectrum" / "RSCD_WW3-RSCD-UG-W001933N55743_201605_freq.nc")
     expected_spectrum = expected_spectrum.drop_dims("string40").squeeze()
     expected_spectrum = expected_spectrum.drop_vars(["station"])
 
diff --git a/tests/test_weather_window.py b/tests/test_weather_window.py
index 7368c06..b9ed74d 100644
--- a/tests/test_weather_window.py
+++ b/tests/test_weather_window.py
@@ -82,12 +82,6 @@ def test_weather_windows(hs):
         result = compute_weather_windows(hs, month)
 
         assert result.PT.mean() == pytest.approx(expected_month_stats["PT_mean"])
-        assert result.number_events.mean() == pytest.approx(
-            expected_month_stats["number_events_mean"]
-        )
-        assert result.number_access_hours.mean() == pytest.approx(
-            expected_month_stats["number_access_hours_mean"]
-        )
-        assert result.number_waiting_hours.mean() == pytest.approx(
-            expected_month_stats["number_waiting_hours_mean"]
-        )
+        assert result.number_events.mean() == pytest.approx(expected_month_stats["number_events_mean"])
+        assert result.number_access_hours.mean() == pytest.approx(expected_month_stats["number_access_hours_mean"])
+        assert result.number_waiting_hours.mean() == pytest.approx(expected_month_stats["number_waiting_hours_mean"])

From c39fcf006aa9979dda7de174db55e9f26b7ab871 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Wed, 20 May 2026 11:05:46 +0200
Subject: [PATCH 14/16] chore: prepare 2.0.0

---
 resourcecode/__version__.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/resourcecode/__version__.py b/resourcecode/__version__.py
index c856d37..bd425de 100644
--- a/resourcecode/__version__.py
+++ b/resourcecode/__version__.py
@@ -17,5 +17,5 @@
 # You should have received a copy of the GNU General Public License along
 # with Resourcecode. If not, see <https://www.gnu.org/licenses/>.
 
-numversion = (1, 3, 1)
+numversion = (2, 0, 0)
 __version__ = ".".join(str(num) for num in numversion)

From 084ecd80673c00401bf010b2dda104c80973458a Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Fri, 22 May 2026 14:38:12 +0200
Subject: [PATCH 15/16] chore: fix a mypy issue

---
 resourcecode/spectrum/compute_parameters.py | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/resourcecode/spectrum/compute_parameters.py b/resourcecode/spectrum/compute_parameters.py
index 84c60e8..19ae022 100644
--- a/resourcecode/spectrum/compute_parameters.py
+++ b/resourcecode/spectrum/compute_parameters.py
@@ -244,7 +244,7 @@ def raw_compute_parameters_from_2D_spectrum(
     kd = k * depth
 
     if not np.isfinite(depth):
-        c1 = 1
+        c1 = np.ones_like(kd)
     else:
         c1 = 1 + 2 * kd / np.sinh(2 * kd)
 

From 0dbbe167397d6be1515571058b44b2e2cb709921 Mon Sep 17 00:00:00 2001
From: Simon Chabot <simon.chabot@logilab.fr>
Date: Fri, 22 May 2026 17:25:42 +0200
Subject: [PATCH 16/16] docs: update the documentation to mention uv and update
 minimal version of python in the documentation.

---
 doc/doc_installation.rst | 27 +++++++++++++--------------
 1 file changed, 13 insertions(+), 14 deletions(-)

diff --git a/doc/doc_installation.rst b/doc/doc_installation.rst
index ac60f06..d769024 100644
--- a/doc/doc_installation.rst
+++ b/doc/doc_installation.rst
@@ -5,7 +5,7 @@ Create a dedicated virtual environment
 --------------------------------------
 
 To install the library, you may first of all, create a dedicated virtual
-environment with a python version at least `3.9`:
+environment with a python version at least `3.11`:
 
 .. code-block:: shell
 
@@ -33,7 +33,7 @@ Install the library
 
 In this virtual environment, you can now install the library. The library is 
 available on PyPI, and installation is straightforward, using the following
-command :
+command :
 
 
 .. code-block:: shell
@@ -46,25 +46,24 @@ To test whether the install has been successful, you can run:
 .. code-block:: shell
 
    (env-resourcecode)$ python -c "import resourcecode ; print(resourcecode.__version__)"
-   0.6.0
 
 which should print the current locally installed version of `resourcecode`.
 
+Alternative installation with uv
+--------------------------------
 
-Known issues
-------------
+For a faster and more reliable installation, you can use `uv <https://docs.astral.sh/uv/>`_,
+a modern Python package installer:
 
-During the `pip install` step, you may have an error say
-
-   Could not install packages due to an EnvironmentError: 404 Client Error: Not
-   Found for url: https://pypi.org/simple/resourcecode/
+.. code-block:: shell
 
+   $ uv venv env-resourcecode --python 3.11
+   $ source env-resourcecode/bin/activate
+   (env-resourcecode)$ uv pip install resourcecode
 
-this is a known issue, which occurs with `pip <= 19.0`. To overcome this issue,
-you simply have to update `pip` to it latest version:
+For development, you can also use uv to sync all dependencies:
 
 .. code-block:: shell
 
-   (env-resourcecode)$ python -m pip install --upgrade pip
-
-and re-run the install step which should be fine.
+   $ uv sync --all-extras --dev
+   $ uv run pytest