Jun 30, 2023 · Jun 29, 2023 · Jun 29, 2023 · Jun 29, 2023
diff --git a/_unittests/ut_array_api/test_hypothesis_array_api.py b/_unittests/ut_array_api/test_hypothesis_array_api.py
 import warnings
 from os import getenv
 from functools import reduce
 import numpy as np
 from operator import mul
 from hypothesis import given
 from onnx_array_api.ext_test_case import ExtTestCase
            kw=array_api_kwargs(dtype=strategies.none() | self.xps.scalar_dtypes()),
        )
        def fct(x, kw):
            asa = np.asarray(x)
            try:
                asp = onxp.asarray(x)
            except Exception as e:
                raise AssertionError(f"asarray fails with x={x!r}, asp={asa!r}.") from e
            self.assertEqualArray(asa, asp.numpy())
            try:
                asa = np.asarray(x, **kw)
            except Exception as e:
                raise AssertionError(
                    f"numpy asarray fails with x={x!r}, kw={kw!r}, asp={asa!r}."
                ) from e
            try:
                asp = onxp.asarray(x, **kw)
            except Exception as e:
                raise AssertionError(
                    f"asarray fails with x={x!r}, kw={kw!r}, asp={asa!r}."
                ) from e
            self.assertEqualArray(asa, asp.numpy())
            args_np.append((x, kw))

        fct()
diff --git a/onnx_array_api/array_api/_onnx_common.py b/onnx_array_api/array_api/_onnx_common.py
 from typing import Any, Optional
 import numpy as np
 from numpy.array_api._array_object import Array
 from ..npx.npx_types import (
    DType,
    ElemType,
        v = TEagerTensor(np.array(a, dtype=np.str_))
    elif isinstance(a, list):
        v = TEagerTensor(np.array(a))
    elif isinstance(a, np.ndarray):
        v = TEagerTensor(a)
    elif isinstance(a, Array):
        v = TEagerTensor(np.asarray(a))
    else:
        raise RuntimeError(f"Unexpected type {type(a)} for the first input.")
    if dtype is not None:
diff --git a/requirements-dev.txt b/requirements-dev.txt
 coverage
 flake8
 furo
 hypothesis<6.80.0
 hypothesis
 isort
 joblib
 lightgbm
Original file line number	Diff line number	Diff line change
Expand Up		@@ -2,6 +2,7 @@
		import warnings
		from os import getenv
		from functools import reduce
		import numpy as np
		from operator import mul
		from hypothesis import given
		from onnx_array_api.ext_test_case import ExtTestCase
Expand DownExpand Up		@@ -94,6 +95,25 @@ def test_scalar_strategies(self):
		kw=array_api_kwargs(dtype=strategies.none() \| self.xps.scalar_dtypes()),
		)
		def fct(x, kw):
		asa = np.asarray(x)
		try:
		asp = onxp.asarray(x)
		except Exception as e:
		raise AssertionError(f"asarray fails with x={x!r}, asp={asa!r}.") from e
		self.assertEqualArray(asa, asp.numpy())
		try:
		asa = np.asarray(x, **kw)
		except Exception as e:
		raise AssertionError(
		f"numpy asarray fails with x={x!r}, kw={kw!r}, asp={asa!r}."
		) from e
		try:
		asp = onxp.asarray(x, **kw)
		except Exception as e:
		raise AssertionError(
		f"asarray fails with x={x!r}, kw={kw!r}, asp={asa!r}."
		) from e
		self.assertEqualArray(asa, asp.numpy())
		args_np.append((x, kw))

		fct()
Expand Down
Original file line number	Diff line number	Diff line change
		@@ -1,5 +1,6 @@
		from typing import Any, Optional
		import numpy as np
		from numpy.array_api._array_object import Array
		from ..npx.npx_types import (
		DType,
		ElemType,
Expand DownExpand Up		@@ -77,6 +78,10 @@ def asarray(
		v = TEagerTensor(np.array(a, dtype=np.str_))
		elif isinstance(a, list):
		v = TEagerTensor(np.array(a))
		elif isinstance(a, np.ndarray):
		v = TEagerTensor(a)
		elif isinstance(a, Array):
		v = TEagerTensor(np.asarray(a))
		else:
		raise RuntimeError(f"Unexpected type {type(a)} for the first input.")
		if dtype is not None:
Expand Down
Original file line number	Diff line number	Diff line change
Expand Up		@@ -3,7 +3,7 @@ black
		coverage
		flake8
		furo
		hypothesis<6.80.0
		hypothesis
		isort
		joblib
		lightgbm
Expand Down