From 25185a9c82d6088283dac7c9b4379ffae78a0fb0 Mon Sep 17 00:00:00 2001
From: Aditya Goel <48102515+adityagoel4512@users.noreply.github.com>
Date: Mon, 24 Jun 2024 23:51:53 +0100
Subject: [PATCH] Update to numpy 2.0 (#7)

---
 .github/workflows/ci.yml           |    1 +
 README.md                          |    4 +-
 docs/experimental/experimental.rst |   15 +-
 docs/intros/gettingstarted.rst     |    3 +-
 ndonnx/_data_types/classes.py      |   10 +-
 ndonnx/_data_types/structtype.py   |   10 +-
 pixi.lock                          | 2819 ++++++++++++++++++----------
 pixi.toml                          |    4 +
 tests/ndonnx/test_compute_modes.py |    3 +-
 tests/ndonnx/test_core.py          |   13 +-
 tests/ndonnx/test_dtypes.py        |    8 +-
 tests/ndonnx/test_masked.py        |    9 +-
 tests/ndonnx/utils.py              |    9 +
 13 files changed, 1831 insertions(+), 1077 deletions(-)

diff --git a/.github/workflows/ci.yml b/.github/workflows/ci.yml
index d342e3f..971c461 100644
--- a/.github/workflows/ci.yml
+++ b/.github/workflows/ci.yml
@@ -39,6 +39,7 @@ jobs:
           - py310
           - py311
           - py312
+          - np1x
     steps:
       - name: Checkout branch
         uses: actions/checkout@v4
diff --git a/README.md b/README.md
index c741a78..91ee69b 100644
--- a/README.md
+++ b/README.md
@@ -46,7 +46,7 @@ It has a couple of key features:
 - It implements the [`Array API`](https://data-apis.org/array-api/) standard. Standard compliant code can be executed without changes across numerous backends such as like `NumPy`, `JAX` and now `ndonnx`.
 
   ```python
-  import numpy.array_api as npx
+  import numpy as np
   import ndonnx as ndx
   from jax.experimental import array_api as jxp
 
@@ -54,7 +54,7 @@ It has a couple of key features:
       xp = a.__array_namespace__()
       return xp.mean(a[(low < a) & (a < high)])
 
-  np_result = mean_drop_outliers(npx.asarray([-10, 0.5, 1, 5]))
+  np_result = mean_drop_outliers(np.asarray([-10, 0.5, 1, 5]))
   jax_result = mean_drop_outliers(jxp.asarray([-10, 0.5, 1, 5]))
   onnx_result = mean_drop_outliers(ndx.asarray([-10, 0.5, 1, 5]))
 
diff --git a/docs/experimental/experimental.rst b/docs/experimental/experimental.rst
index 7198486..6d01704 100644
--- a/docs/experimental/experimental.rst
+++ b/docs/experimental/experimental.rst
@@ -101,16 +101,17 @@ Note that we will use the ``_experimental`` submodule.
                 author="myextensionlibrary",
             )
 
-        def _parse_input(self, input: np.ndarray) -> dict:
+        def _parse_input(self, x: np.ndarray) -> dict:
             # We accept numpy arrays of dtype datetime64[s] as input only.
-            if input.dtype == np.dtype("datetime64[s]"):
-                unix_timestamp = input.astype(np.int64)
+            if x.dtype == np.dtype("datetime64[s]"):
+                unix_timestamp = x.astype(np.int64)
+                return {
+                    "unix_timestamp": self._fields()["unix_timestamp"]._parse_input(unix_timestamp),
+                }
             else:
-                raise ValueError(f"Cannot parse input of dtype {input.dtype} to {self}")
+                raise ValueError(f"Cannot parse input of dtype {x.dtype} to {self}")
+
 
-            return {
-                "unix_timestamp": self._fields()["unix_timestamp"]._parse_input(unix_timestamp),
-            }
 
         def _assemble_output(self, fields: dict[str, np.ndarray]) -> np.ndarray:
             return fields["unix_timestamp"].astype("datetime64[s]")
diff --git a/docs/intros/gettingstarted.rst b/docs/intros/gettingstarted.rst
index 7e484a7..f4bf33c 100644
--- a/docs/intros/gettingstarted.rst
+++ b/docs/intros/gettingstarted.rst
@@ -93,13 +93,12 @@ Writing code in a strictly Array API compliant fashion makes it instantly reusab
 
         import ndonnx as ndx
         import numpy as np
-        import numpy.array_api as npx
 
         def mean_drop_outliers(a, low=-5, high=5):
             xp = a.__array_namespace__()
             return xp.mean(a[(low < a) & (a < high)])
 
-        np_result = mean_drop_outliers(npx.asarray([-10, 0.5, 1, 4]))
+        np_result = mean_drop_outliers(np.asarray([-10, 0.5, 1, 4]))
         onnx_result = mean_drop_outliers(ndx.asarray([-10, 0.5, 1, 4]))
         np.testing.assert_equal(np_result, onnx_result.to_numpy())
 
diff --git a/ndonnx/_data_types/classes.py b/ndonnx/_data_types/classes.py
index db28709..4468ecf 100644
--- a/ndonnx/_data_types/classes.py
+++ b/ndonnx/_data_types/classes.py
@@ -179,12 +179,12 @@ class _NullableCore(Nullable[CoreType], CastMixin):
     def copy(self) -> Self:
         return self
 
-    def _parse_input(self, input: np.ndarray) -> dict:
-        if not isinstance(input, np.ma.MaskedArray):
-            raise TypeError(f"Expected numpy MaskedArray, got {type(input)}")
+    def _parse_input(self, x: np.ndarray) -> dict:
+        if not isinstance(x, np.ma.MaskedArray):
+            raise TypeError(f"Expected numpy MaskedArray, got {type(x)}")
         return {
-            "values": self.values._parse_input(input.data),
-            "null": self.null._parse_input(input.mask),
+            "values": self.values._parse_input(x.data),
+            "null": self.null._parse_input(x.mask),
         }
 
     def _assemble_output(self, fields: dict[str, np.ndarray]) -> np.ndarray:
diff --git a/ndonnx/_data_types/structtype.py b/ndonnx/_data_types/structtype.py
index bcde0b9..f5e71ee 100644
--- a/ndonnx/_data_types/structtype.py
+++ b/ndonnx/_data_types/structtype.py
@@ -27,7 +27,7 @@ def _fields(self) -> dict[str, StructType | CoreType]:
         ...
 
     @abstractmethod
-    def _parse_input(self, input: np.ndarray) -> dict:
+    def _parse_input(self, x: np.ndarray) -> dict:
         """This method may be used by runtime utilities. It should break down the input
         numpy array into a dictionary of values with an entry for each field in this
         StructType.
@@ -44,14 +44,14 @@ def __init__(self):
 
             .. code-block:: python
 
-                def _parse_input(self, input: np.ndarray) -> dict[str, np.ndarray]:
+                def _parse_input(self, x: np.ndarray) -> dict[str, np.ndarray]:
                     # We expect a numpy array of python int objects.
-                    if input.dtype != object:
+                    if x.dtype != object:
                         raise TypeError("Input must be an object array")
                     mask = (1 << 64) - 1
                     return {
-                        "low": (input & mask).astype(np.uint64),
-                        "high": (input >> 64).astype(np.uint64) & mask,
+                        "low": (x & mask).astype(np.uint64),
+                        "high": (x >> 64).astype(np.uint64) & mask,
                     }
         """
         ...
diff --git a/pixi.lock b/pixi.lock
index 621da00..629be61 100644
--- a/pixi.lock
+++ b/pixi.lock
@@ -10,40 +10,40 @@ environments:
       - conda: https://conda.anaconda.org/conda-forge/noarch/build-0.7.0-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/linux-64/bzip2-1.0.8-hd590300_5.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2024.6.2-hbcca054_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.2.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.40-hf3520f5_7.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libabseil-20240116.2-cxx17_h59595ed_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-22_linux64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-22_linux64_openblas.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgomp-13.2.0-h77fa898_7.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgcc-ng-13.2.0-h77fa898_11.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran-ng-13.2.0-h69a702a_11.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-13.2.0-h3d2ce59_11.conda
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/numpy-1.26.4-py312heda63a1_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-64/onnx-1.16.1-py312hb223586_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/openssl-3.3.1-h4ab18f5_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/packaging-24.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/pep517-0.13.0-pyhd8ed1ab_0.tar.bz2
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-      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.3-hab00c5b_0_cpython.conda
+      - conda: https://conda.anaconda.org/conda-forge/linux-64/python-3.12.4-h194c7f8_0_cpython.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.12-4_cp312.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/spox-0.12.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/spox-0.12.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.13-noxft_h4845f30_101.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2
       - conda: https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.12.2-hd8ed1ab_0.conda
@@ -57,40 +57,40 @@ environments:
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.40-h9fc2d93_3.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.2.0-pyha770c72_0.conda
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       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/python_abi-3.12-4_cp312.conda
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-      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.1.0-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/noarch/setuptools-scm-8.1.0-pyhd8ed1ab_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/spox-0.12.0-pyhd8ed1ab_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/spox-0.12.1-pyhd8ed1ab_0.conda
       - conda: https://conda.anaconda.org/conda-forge/linux-aarch64/tk-8.6.13-h194ca79_0.conda
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@@ -103,7 +103,7 @@ environments:
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       - conda: https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2024.6.2-h8857fd0_0.conda
-      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.1.0-pyha770c72_0.conda
+      - conda: https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-7.2.0-pyha770c72_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libabseil-20240116.2-cxx17_hc1bcbd7_0.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libblas-3.9.0-22_osx64_openblas.conda
       - conda: https://conda.anaconda.org/conda-forge/osx-64/libcblas-3.9.0-22_osx64_openblas.conda
@@ -115,23 +115,23 @@ environments:
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+  url: https://conda.anaconda.org/conda-forge/noarch/python-fastjsonschema-2.20.0-pyhd8ed1ab_0.conda
+  sha256: 7d8c931b89c9980434986b4deb22c2917b58d9936c3974139b9c10ae86fdfe60
+  md5: b98d2018c01ce9980c03ee2850690fab
   depends:
   - python >=3.3
   license: BSD-3-Clause
   license_family: BSD
-  size: 225250
-  timestamp: 1703781171097
+  size: 226165
+  timestamp: 1718477110630
 - kind: conda
   name: python-flatbuffers
   version: 24.3.25
@@ -11385,12 +12200,12 @@ packages:
   timestamp: 1707315306489
 - kind: conda
   name: ruff
-  version: 0.4.8
+  version: 0.4.10
   build: py312h18b2cab_0
   subdir: linux-aarch64
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/ruff-0.4.8-py312h18b2cab_0.conda
-  sha256: 9cdb7abd42049e1c8e7b22a7456d2333fe429f0d7bb4b7589d795412a67ba925
-  md5: c355d4c6dfb45a2697d0b458172fab87
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/ruff-0.4.10-py312h18b2cab_0.conda
+  sha256: f1e8fc9430828ec93390b5152222d5bb4323b813d1474e6e0a6004d4773a15d9
+  md5: 134023a7afe8281afe7d8c3f2db45ea9
   depends:
   - libgcc-ng >=12
   - libstdcxx-ng >=12
@@ -11399,16 +12214,16 @@ packages:
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
-  size: 6080287
-  timestamp: 1717617848970
+  size: 6030757
+  timestamp: 1718950349389
 - kind: conda
   name: ruff
-  version: 0.4.8
+  version: 0.4.10
   build: py312h3402d49_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.4.8-py312h3402d49_0.conda
-  sha256: 68336bcc2b484f0a8255cff3a91acc7a0f075b49555238aac78f5ad37d8debe1
-  md5: 6377beaf840a4af64f84c6ae7225fbff
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/ruff-0.4.10-py312h3402d49_0.conda
+  sha256: 066d4cefce2d5d35d758e6d477e47fda83a1b06d88fa71f953065043d64b488d
+  md5: 5b70888ab8e84ab3206ab5290075523a
   depends:
   - __osx >=11.0
   - libcxx >=16
@@ -11419,16 +12234,16 @@ packages:
   - __osx >=11.0
   license: MIT
   license_family: MIT
-  size: 5887500
-  timestamp: 1717618169193
+  size: 5878241
+  timestamp: 1718950617291
 - kind: conda
   name: ruff
-  version: 0.4.8
+  version: 0.4.10
   build: py312h5715c7c_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.4.8-py312h5715c7c_0.conda
-  sha256: f07735cc40d935dee11bba7c855a7ad52ccf7b56c880292b743f135c77ba9b21
-  md5: f6ceac9020200cf58545d3bcf94657ff
+  url: https://conda.anaconda.org/conda-forge/linux-64/ruff-0.4.10-py312h5715c7c_0.conda
+  sha256: d7f056febfb41a141f51e0ae7ea8ba28bc486a86556f378598280b97c5761d2d
+  md5: 3d07021d1d84de1caf6dbc02e5aea12a
   depends:
   - libgcc-ng >=12
   - libstdcxx-ng >=12
@@ -11436,16 +12251,16 @@ packages:
   - python_abi 3.12.* *_cp312
   license: MIT
   license_family: MIT
-  size: 6367071
-  timestamp: 1717617541850
+  size: 6375100
+  timestamp: 1718950300298
 - kind: conda
   name: ruff
-  version: 0.4.8
+  version: 0.4.10
   build: py312h7a6832a_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/ruff-0.4.8-py312h7a6832a_0.conda
-  sha256: 6628d1762f4e314f0a44e51e2c57bdf383c2e9106c995563606e3cabfd03b101
-  md5: 311e1713f7ef19b7ec2b9cc98b9b264e
+  url: https://conda.anaconda.org/conda-forge/win-64/ruff-0.4.10-py312h7a6832a_0.conda
+  sha256: fa69621a30c533349cc110bd1d2956189d92c11c15bc1a6520ed0a82b4f8f900
+  md5: 858969a5841ede4dbeb9f929962cd606
   depends:
   - python >=3.12,<3.13.0a0
   - python_abi 3.12.* *_cp312
@@ -11454,16 +12269,16 @@ packages:
   - vc14_runtime >=14.29.30139
   license: MIT
   license_family: MIT
-  size: 6266759
-  timestamp: 1717618966802
+  size: 6273796
+  timestamp: 1718951278593
 - kind: conda
   name: ruff
-  version: 0.4.8
+  version: 0.4.10
   build: py312h8b25c6c_0
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.4.8-py312h8b25c6c_0.conda
-  sha256: 38e9281da98a014db028afabd8fe1d14249581fcf77aacb6cfe6c01938a9d37a
-  md5: 8a8a0e2830d64aafad5f432f881eba97
+  url: https://conda.anaconda.org/conda-forge/osx-64/ruff-0.4.10-py312h8b25c6c_0.conda
+  sha256: f99db993c3119add41e1aac66916eaea291f20382a393b2562d2d5f8ebdf9cc5
+  md5: 2310531360a50014516f8a35cc3054b8
   depends:
   - __osx >=10.13
   - libcxx >=16
@@ -11473,23 +12288,23 @@ packages:
   - __osx >=10.12
   license: MIT
   license_family: MIT
-  size: 6147815
-  timestamp: 1717617914383
+  size: 6173973
+  timestamp: 1718950736324
 - kind: conda
   name: setuptools
-  version: 70.0.0
+  version: 70.1.0
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.0.0-pyhd8ed1ab_0.conda
-  sha256: daa4638d288cfdf3b0ecea395d8efa25cafc4ebf4026464a36c797c84541d2be
-  md5: c8ddb4f34a208df4dd42509a0f6a1c89
+  url: https://conda.anaconda.org/conda-forge/noarch/setuptools-70.1.0-pyhd8ed1ab_0.conda
+  sha256: a43d33436f4ac57ebd6ee15f700b33b26a2d37b7e43981b1fa036908579dafd6
+  md5: 258e66f95f814d51ada2a1fe9274039b
   depends:
   - python >=3.8
   license: MIT
   license_family: MIT
-  size: 483015
-  timestamp: 1716368141661
+  size: 495951
+  timestamp: 1718881009207
 - kind: conda
   name: setuptools-scm
   version: 8.1.0
@@ -11852,13 +12667,13 @@ packages:
   timestamp: 1705118378942
 - kind: conda
   name: spox
-  version: 0.12.0
+  version: 0.12.1
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/spox-0.12.0-pyhd8ed1ab_0.conda
-  sha256: a13c8bf23c90e98b02bc9eea47ff73cb5a86a181d8add61e31ebda9610c75292
-  md5: ff89e75ab2ac7cfecbecee376304e6d4
+  url: https://conda.anaconda.org/conda-forge/noarch/spox-0.12.1-pyhd8ed1ab_0.conda
+  sha256: 2bce7dfce082c0c5bf7bf7a9f8e9213eb245d06146a5e76708b6d18047eadb8b
+  md5: 5babc176623590c4f9e3a0c44823b409
   depends:
   - numpy
   - onnx >=1.13
@@ -11866,35 +12681,35 @@ packages:
   - python >=3.8.0
   license: BSD-3-Clause
   license_family: BSD
-  size: 140627
-  timestamp: 1715885353084
+  size: 140122
+  timestamp: 1718741874429
 - kind: conda
   name: sympy
-  version: '1.12'
+  version: 1.12.1
   build: pyh04b8f61_3
   build_number: 3
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/sympy-1.12-pyh04b8f61_3.conda
-  sha256: 75b525ecb0948380796f519fe723470d52f9369e23c68f194c28f34df5e49b39
-  md5: 6af285473a6a49ea8068e0b5b28ed7de
+  url: https://conda.anaconda.org/conda-forge/noarch/sympy-1.12.1-pyh04b8f61_3.conda
+  sha256: cd488f0c44dec1f1f5d0c65144d144ccb5f8325c63bfcc60ab81e557d8bfc2b2
+  md5: 2a2ecb906ec4efabca7e40bd36b627c8
   depends:
   - mpmath >=0.19
   - python >=3.8
   license: BSD-3-Clause
   license_family: BSD
-  size: 4243034
-  timestamp: 1684180691391
+  size: 4237779
+  timestamp: 1718625684067
 - kind: conda
   name: sympy
-  version: '1.12'
-  build: pypyh9d50eac_103
+  version: 1.12.1
+  build: pypyh2585a3b_103
   build_number: 103
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/sympy-1.12-pypyh9d50eac_103.conda
-  sha256: 0025dd4e6411423903bf478d1b9fbff0cbbbe546f51c9375dfd6729ef2e1a1ac
-  md5: 2f7d6347d7acf6edf1ac7f2189f44c8f
+  url: https://conda.anaconda.org/conda-forge/noarch/sympy-1.12.1-pypyh2585a3b_103.conda
+  sha256: a365a6d6f47953cd1fe8be234c2d51b1ac6990a288865126cf32197b3f256a15
+  md5: 4af9db19148140eb2ff3b2a93697063b
   depends:
   - __unix
   - gmpy2 >=2.0.8
@@ -11903,8 +12718,8 @@ packages:
   - python >=3.8
   license: BSD-3-Clause
   license_family: BSD
-  size: 4256289
-  timestamp: 1684180689319
+  size: 4253322
+  timestamp: 1718625708903
 - kind: conda
   name: tabulate
   version: 0.9.0
@@ -12210,136 +13025,58 @@ packages:
   timestamp: 1685820229594
 - kind: conda
   name: typos
-  version: 1.22.3
-  build: h09b8157_0
-  subdir: linux-aarch64
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/typos-1.22.3-h09b8157_0.conda
-  sha256: 47f014a344e8ce67b05266e470e7822f53b4f3143821e0ca6df0ed51c810f088
-  md5: e259f11f0d0d4914d2b1c2c0db8bcb82
-  depends:
-  - libgcc-ng >=12
-  license: MIT
-  license_family: MIT
-  size: 3575109
-  timestamp: 1717789191744
-- kind: conda
-  name: typos
-  version: 1.22.3
-  build: h686f776_0
-  subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/typos-1.22.3-h686f776_0.conda
-  sha256: 699149f29bfe309e6cc1cfa0dce438d3430a2c2908f2e5f09c5d6f122cd5adff
-  md5: 62cdde4dad200126b25f42c9e1f44a20
-  depends:
-  - __osx >=10.13
-  constrains:
-  - __osx >=10.12
-  license: MIT
-  license_family: MIT
-  size: 3364294
-  timestamp: 1717789782714
-- kind: conda
-  name: typos
-  version: 1.22.3
-  build: h6e96688_0
-  subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.22.3-h6e96688_0.conda
-  sha256: 70b191a134ce02582844d60bf1a801feec4ce86805bc5027cb74b352274cb2fc
-  md5: be121eb9dd7f7ff6da0b528e15a1415e
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-  constrains:
-  - __osx >=11.0
-  license: MIT
-  license_family: MIT
-  size: 3354048
-  timestamp: 1717789591052
-- kind: conda
-  name: typos
-  version: 1.22.3
-  build: h813c833_0
-  subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/typos-1.22.3-h813c833_0.conda
-  sha256: 030a6c63c9cf2b04f0ed866ff95a4ec8436f2c49e0ac8e81471160bf2555cbaa
-  md5: 3b5e5acf3d83ae8116ab9acdd29ff216
-  depends:
-  - m2w64-gcc-libs
-  - m2w64-gcc-libs-core
-  - ucrt >=10.0.20348.0
-  - vc >=14.3,<15
-  - vc14_runtime >=14.40.33810
-  license: MIT
-  license_family: MIT
-  size: 2613925
-  timestamp: 1717790432186
-- kind: conda
-  name: typos
-  version: 1.22.3
-  build: he9194b0_0
-  subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/typos-1.22.3-he9194b0_0.conda
-  sha256: eea1b82496b69741c9f48031e71b5070f48e4feefb3a97c7b81c3d3bf1979cb6
-  md5: c6cf5d1d2cda350bd398ad6f0eab159b
-  depends:
-  - libgcc-ng >=12
-  license: MIT
-  license_family: MIT
-  size: 3663852
-  timestamp: 1717789144569
-- kind: conda
-  name: typos
-  version: 1.22.4
+  version: 1.22.7
   build: h09b8157_0
   subdir: linux-aarch64
-  url: https://conda.anaconda.org/conda-forge/linux-aarch64/typos-1.22.4-h09b8157_0.conda
-  sha256: eba65c0391efdfaa1f3572ad5d2ec0b69b3fbb0da15459fc03170e7b75a2c566
-  md5: d379a2ee66cb46a6a28840cf7f4893e1
+  url: https://conda.anaconda.org/conda-forge/linux-aarch64/typos-1.22.7-h09b8157_0.conda
+  sha256: df203105c159003d990fdf4814639dfa51a8ff725af59f065d7288a1e8e3cd6b
+  md5: a0e23be4b3d12fb7637e7f2a33a3a945
   depends:
   - libgcc-ng >=12
   license: MIT
   license_family: MIT
-  size: 3575508
-  timestamp: 1718072804865
+  size: 3575256
+  timestamp: 1718216174241
 - kind: conda
   name: typos
-  version: 1.22.4
+  version: 1.22.7
   build: h686f776_0
   subdir: osx-64
-  url: https://conda.anaconda.org/conda-forge/osx-64/typos-1.22.4-h686f776_0.conda
-  sha256: 172eaae1e296c110be7846446ad7107e06225c43f79bdb4bd82a265590833db9
-  md5: 4bd24315c9ee0c04da4d0a997cb40733
+  url: https://conda.anaconda.org/conda-forge/osx-64/typos-1.22.7-h686f776_0.conda
+  sha256: cb0203305cffc52cf24481f64f4cf30dba34384245257bd443ba5ead6b09d5b3
+  md5: 9cbc5bb8f804f3e500042b985286ab60
   depends:
   - __osx >=10.13
   constrains:
   - __osx >=10.12
   license: MIT
   license_family: MIT
-  size: 3352321
-  timestamp: 1718073139478
+  size: 3358158
+  timestamp: 1718216721382
 - kind: conda
   name: typos
-  version: 1.22.4
+  version: 1.22.7
   build: h6e96688_0
   subdir: osx-arm64
-  url: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.22.4-h6e96688_0.conda
-  sha256: 8b596d10544a3840fdf1e6d8427c7eaf5e0838b72807c41b9ddc3b811d3e5573
-  md5: 91f397a528af43db3cc5bed649f3e3b2
+  url: https://conda.anaconda.org/conda-forge/osx-arm64/typos-1.22.7-h6e96688_0.conda
+  sha256: b01ecd5d44b67738f9148add9ec7f12d9f1a4935725fc3d8841d020a7ba93f36
+  md5: 61ee622afcccb925d13da044e1c3ab26
   depends:
   - __osx >=11.0
   constrains:
   - __osx >=11.0
   license: MIT
   license_family: MIT
-  size: 3354634
-  timestamp: 1718073140004
+  size: 3355631
+  timestamp: 1718216631691
 - kind: conda
   name: typos
-  version: 1.22.4
+  version: 1.22.7
   build: h813c833_0
   subdir: win-64
-  url: https://conda.anaconda.org/conda-forge/win-64/typos-1.22.4-h813c833_0.conda
-  sha256: 26e3b0f810c8bd37daaa8c66dd236a6233e4a3c629fff829e3ccd340be9ea81d
-  md5: b4a823389b94daa20a9a46e75e73c443
+  url: https://conda.anaconda.org/conda-forge/win-64/typos-1.22.7-h813c833_0.conda
+  sha256: d6074f6cda322f20210daf5110f22af26c5b29d4633a2136a9e24797c33119b2
+  md5: 113e466e1e990ecf8b9d5f51dfefad28
   depends:
   - m2w64-gcc-libs
   - m2w64-gcc-libs-core
@@ -12348,22 +13085,22 @@ packages:
   - vc14_runtime >=14.40.33810
   license: MIT
   license_family: MIT
-  size: 2612074
-  timestamp: 1718073835609
+  size: 2616268
+  timestamp: 1718217545401
 - kind: conda
   name: typos
-  version: 1.22.4
+  version: 1.22.7
   build: he9194b0_0
   subdir: linux-64
-  url: https://conda.anaconda.org/conda-forge/linux-64/typos-1.22.4-he9194b0_0.conda
-  sha256: 322d63b596e91b23fdf7da99af3d5bce528a4ff38a33a4c60d0dc3fb6875ae1b
-  md5: 9926a188f41b6cf0321dffad7f10fc74
+  url: https://conda.anaconda.org/conda-forge/linux-64/typos-1.22.7-he9194b0_0.conda
+  sha256: 0735920140025bd5723c205ca88a00d9fea0c39af90cb1bc027be99c9254634d
+  md5: ad4408a67c73689c5030c06c59d329ac
   depends:
   - libgcc-ng >=12
   license: MIT
   license_family: MIT
-  size: 3649998
-  timestamp: 1718072708077
+  size: 3660740
+  timestamp: 1718216125788
 - kind: conda
   name: tzdata
   version: 2024a
@@ -12503,21 +13240,21 @@ packages:
   timestamp: 1583436833181
 - kind: conda
   name: urllib3
-  version: 2.2.1
+  version: 2.2.2
   build: pyhd8ed1ab_0
   subdir: noarch
   noarch: python
-  url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.1-pyhd8ed1ab_0.conda
-  sha256: d4009dcc9327684d6409706ce17656afbeae690d8522d3c9bc4df57649a352cd
-  md5: 08807a87fa7af10754d46f63b368e016
+  url: https://conda.anaconda.org/conda-forge/noarch/urllib3-2.2.2-pyhd8ed1ab_0.conda
+  sha256: 8cd972048f297b8e0601158ce352f5ca9510dda9f2706a46560220aa58b9f038
+  md5: 92cdb6fe54b78739ad70637e4f0deb07
   depends:
   - brotli-python >=1.0.9
   - pysocks >=1.5.6,<2.0,!=1.5.7
   - python >=3.7
   license: MIT
   license_family: MIT
-  size: 94669
-  timestamp: 1708239595549
+  size: 95016
+  timestamp: 1718653149133
 - kind: conda
   name: vc
   version: '14.3'
diff --git a/pixi.toml b/pixi.toml
index 067e723..0d113c7 100644
--- a/pixi.toml
+++ b/pixi.toml
@@ -66,12 +66,16 @@ python = "3.10.*"
 python = "3.11.*"
 [feature.py312.dependencies]
 python = "3.12.*"
+[feature.np1x.dependencies]
+python = "3.11.*"
+numpy = "1.*"
 
 [environments]
 default = ["test", "lint"]
 py310 = ["py310", "test"]
 py311 = ["py311", "test"]
 py312 = ["py312", "test"]
+np1x = ["np1x", "test"]
 docs = ["docs"]
 build = ["build"]
 lint = { features = ["lint"], no-default-feature = true }
diff --git a/tests/ndonnx/test_compute_modes.py b/tests/ndonnx/test_compute_modes.py
index ed87e1e..4a43ded 100644
--- a/tests/ndonnx/test_compute_modes.py
+++ b/tests/ndonnx/test_compute_modes.py
@@ -2,7 +2,6 @@
 # SPDX-License-Identifier: BSD-3-Clause
 
 import numpy as np
-import numpy.array_api as npx
 import pytest
 
 import ndonnx as ndx
@@ -15,7 +14,7 @@ def test_eager_mode(op):
     b = ndx.asarray(np.array([3.0, 4, 5, 6]), dtype=ndx.float64)
     np.testing.assert_equal(
         getattr(ndx, op)(a, b).to_numpy(),
-        getattr(npx, op)(npx.asarray(a.to_numpy()), npx.asarray(b.to_numpy())),
+        getattr(np, op)(a.to_numpy(), b.to_numpy()),
     )
 
 
diff --git a/tests/ndonnx/test_core.py b/tests/ndonnx/test_core.py
index e88e203..7cf3fca 100644
--- a/tests/ndonnx/test_core.py
+++ b/tests/ndonnx/test_core.py
@@ -6,7 +6,6 @@
 import re
 
 import numpy as np
-import numpy.array_api as npx
 import pytest
 import spox.opset.ai.onnx.v19 as op
 
@@ -14,7 +13,7 @@
 import ndonnx.additional as nda
 from ndonnx import _data_types as dtypes
 
-from .utils import run
+from .utils import get_numpy_array_api_namespace, run
 
 
 def numpy_to_graph_input(arr, eager=False):
@@ -366,6 +365,7 @@ def test_matrix_transpose():
     b = ndx.matrix_transpose(a)
 
     model = ndx.build({"a": a}, {"b": b})
+    npx = get_numpy_array_api_namespace()
     np.testing.assert_equal(
         npx.matrix_transpose(npx.reshape(npx.arange(3 * 2 * 3), (3, 2, 3))),
         run(model, {"a": np.arange(3 * 2 * 3, dtype=np.int64).reshape(3, 2, 3)})["b"],
@@ -377,8 +377,11 @@ def test_matrix_transpose_attribute():
     b = a.mT
 
     model = ndx.build({"a": a}, {"b": b})
+    npx = get_numpy_array_api_namespace()
+    expected = npx.reshape(npx.arange(3 * 2 * 3), (3, 2, 3)).mT
+
     np.testing.assert_equal(
-        npx.reshape(npx.arange(3 * 2 * 3), (3, 2, 3)).mT,
+        expected,
         run(model, {"a": np.arange(3 * 2 * 3, dtype=np.int64).reshape(3, 2, 3)})["b"],
     )
 
@@ -389,7 +392,7 @@ def test_transpose_attribute():
 
     model = ndx.build({"a": a}, {"b": b})
     np.testing.assert_equal(
-        npx.reshape(npx.arange(3 * 2), (3, 2)).T,
+        np.reshape(np.arange(3 * 2), (3, 2)).T,
         run(model, {"a": np.arange(3 * 2, dtype=np.int64).reshape(3, 2)})["b"],
     )
 
@@ -399,7 +402,7 @@ def test_array_spox_interoperability():
     add_var = op.add(a.values.data.var, op.const(5, dtype=np.int64))  # type: ignore
     b = ndx.from_spox_var(var=add_var)
     model = ndx.build({"a": a}, {"b": b})
-    expected = npx.reshape(npx.arange(3 * 2), (3, 2)) + 5
+    expected = np.reshape(np.arange(3 * 2), (3, 2)) + 5
     input = np.ma.masked_array(
         np.arange(3 * 2, dtype=np.int64).reshape(3, 2), mask=np.ones((3, 2), dtype=bool)
     )
diff --git a/tests/ndonnx/test_dtypes.py b/tests/ndonnx/test_dtypes.py
index 5c4d788..aa8c87f 100644
--- a/tests/ndonnx/test_dtypes.py
+++ b/tests/ndonnx/test_dtypes.py
@@ -30,12 +30,12 @@ def _fields(self) -> dict[str, StructType | CoreType]:
             "lower": ndx.uint64,
         }
 
-    def _parse_input(self, input: np.ndarray) -> dict:
+    def _parse_input(self, x: np.ndarray) -> dict:
         upper = self._fields()["upper"]._parse_input(
-            np.array(input >> 64).astype(np.uint32)
+            np.array(x >> 64).astype(np.uint32)
         )
         lower = self._fields()["lower"]._parse_input(
-            (input & np.array([0xFFFFFFFFFFFFFFFF])).astype(np.uint64)
+            (x & np.array([0xFFFFFFFFFFFFFFFF])).astype(np.uint64)
         )
         return {
             "upper": upper,
@@ -91,7 +91,7 @@ def test_unsigned96_casting(u96):
             lower=ndx.asarray(0, dtype=ndx.uint64),
         ).astype(ndx.uint64)
 
-    expected = ndx.asarray(0, dtype=u96)
+    expected = ndx.asarray(np.array(0, dtype=object), dtype=u96)
     actual = ndx.asarray(0, dtype=ndx.uint64).astype(u96)
     custom_equal_result = custom_equal(expected, actual).to_numpy()
     assert custom_equal_result is not None and custom_equal_result.item()
diff --git a/tests/ndonnx/test_masked.py b/tests/ndonnx/test_masked.py
index 8903158..9116799 100644
--- a/tests/ndonnx/test_masked.py
+++ b/tests/ndonnx/test_masked.py
@@ -4,13 +4,12 @@
 import math
 
 import numpy as np
-import numpy.array_api as npx
 import pytest
 
 import ndonnx as ndx
 import ndonnx.additional as nda
 
-from .utils import run
+from .utils import get_numpy_array_api_namespace, run
 
 
 def testfill_null():
@@ -105,7 +104,6 @@ def test_reduce_ops_none_filling(fn_name, default_value):
 )
 def test_unary_none_propagation(fn_name, args, kwargs):
     fn = getattr(ndx, fn_name)
-    np_fn = getattr(npx, fn_name)
 
     a = ndx.array(shape=(1, 3), dtype=ndx.nfloat32)
     b = fn(a, *args)
@@ -115,7 +113,10 @@ def test_unary_none_propagation(fn_name, args, kwargs):
     inp_a = np.ma.masked_array([[0, -2.0, 3.0]], mask=[[1, 0, 0]], dtype=np.float32)
     ret_b = run(model, {"a": inp_a})["b"]
     missing_a = inp_a.mask
-    expected_b = np_fn(npx.asarray(np.ma.filled(inp_a, np.nan)), *args, **kwargs)
+    npx = get_numpy_array_api_namespace()
+    np_fn = getattr(npx, fn_name)
+    inp_a = npx.asarray(np.ma.filled(inp_a, np.nan))
+    expected_b = np_fn(inp_a, *args, **kwargs)
     np.testing.assert_almost_equal(
         np.ma.masked_array(expected_b, mask=missing_a),
         ret_b,
diff --git a/tests/ndonnx/utils.py b/tests/ndonnx/utils.py
index cef399b..9273b16 100644
--- a/tests/ndonnx/utils.py
+++ b/tests/ndonnx/utils.py
@@ -61,3 +61,12 @@ def _get_dtypes(
         output_schema[name] = _get_dtype(schema["type_name"], version)
 
     return input_schema, output_schema
+
+
+def get_numpy_array_api_namespace():
+    if np.__version__ < "2":
+        import numpy.array_api as npx
+
+        return npx
+    else:
+        return np