Implemented dpnp.frombuffer, dpnp.fromfile and dpnp.fromstring

dpnp/dpnp_iface_arraycreation.py

@@ -1399,23 +1399,114 @@ def eye(
     )
 
 
-def frombuffer(buffer, **kwargs):
-    """
+def frombuffer(
+    buffer,
+    dtype=float,
+    count=-1,
+    offset=0,
+    *,
+    like=None,
+    device=None,
+    usm_type="device",
+    sycl_queue=None,
+):
+    r"""
     Interpret a buffer as a 1-dimensional array.
 
     For full documentation refer to :obj:`numpy.frombuffer`.
 
+    Parameters
+    ----------
+    buffer : buffer_like
+        An object that exposes the buffer interface.
+    dtype : data-type, optional
+        Data-type of the returned array.
+        Default is the default floating point data type for the device where
+        the returned array is allocated.
+    count : int, optional
+        Number of items to read. ``-1`` means all data in the buffer.
+    offset : int, optional
+        Start reading the buffer from this offset (in bytes); default: 0.
+    device : {None, string, SyclDevice, SyclQueue}, optional
+        An array API concept of device where the output array is created.
+        The `device` can be ``None`` (the default), an OneAPI filter selector
+        string, an instance of :class:`dpctl.SyclDevice` corresponding to
+        a non-partitioned SYCL device, an instance of :class:`dpctl.SyclQueue`,
+        or a `Device` object returned by
+        :obj:`dpnp.dpnp_array.dpnp_array.device` property.
+    usm_type : {"device", "shared", "host"}, optional
+        The type of SYCL USM allocation for the output array.
+        Default is "device".
+    sycl_queue : {None, SyclQueue}, optional
+        A SYCL queue to use for output array allocation and copying.
+
+    Returns
+    -------
+    out : dpnp.ndarray
+        A 1-dimensional array created from input buffer object.
+
     Limitations
     -----------
-    Only float64, float32, int64, int32 types are supported.
+    Parameter `like` is supported only with default value ``None``.
+    Otherwise, the function raises `NotImplementedError` exception.
 
-    """
+    Notes
+    -----
+    This uses :obj:`numpy.frombuffer` and coerces the result to a DPNP array.
 
-    return call_origin(numpy.frombuffer, buffer, **kwargs)
+    See also
+    --------
+    :obj:`dpnp.fromfile` : Construct array from data in a text or binary file.
+    :obj:`dpnp.fromiter` : Construct array from an iterable object.
+    :obj:`dpnp.fromstring` : Construct array from the text data in a string.
 
+    Examples
+    --------
+    >>> import dpnp as np
+    >>> s = b'\x01\x02\x03\x04'
+    >>> np.frombuffer(s, dtype=np.int32)
+    array([67305985], dtype=int32)
+    >>> np.frombuffer(b'\x01\x02\x03\x04\x05', dtype='u1', count=3)
+    array([1, 2, 3], dtype=uint8)
+
+    Creating an array on a different device or with a specified usm_type
+
+    >>> x = np.frombuffer(s, dtype=np.int32) # default case
+    >>> x.device, x.usm_type
+    (Device(level_zero:gpu:0), 'device')
+
+    >>> y = np.frombuffer(s, dtype=np.int32, device='cpu')
+    >>> y.device, y.usm_type
+    (Device(opencl:cpu:0), 'device')
+
+    >>> z = np.frombuffer(s, dtype=np.int32, usm_type="host")
+    >>> z.device, z.usm_type
+    (Device(level_zero:gpu:0), 'host')
 
-def fromfile(file, **kwargs):
     """
+
+    _check_limitations(like=like)
+    return asarray(
+        numpy.frombuffer(buffer, dtype=dtype, count=count, offset=offset),
+        device=device,
+        usm_type=usm_type,
+        sycl_queue=sycl_queue,
+    )
+
+
+def fromfile(
+    file,
+    dtype=float,
+    count=-1,
+    sep="",
+    offset=0,
+    *,
+    like=None,
+    device=None,
+    usm_type="device",
+    sycl_queue=None,
+):
+    r"""
     Construct an array from data in a text or binary file.
 
     A highly efficient way of reading binary data with a known data-type,
@@ -1424,13 +1515,107 @@ def fromfile(file, **kwargs):
 
     For full documentation refer to :obj:`numpy.fromfile`.
 
+    Parameters
+    ----------
+    file : file or str or Path
+        Open file object or filename.
+    dtype : data-type, optional
+        Data type of the returned array.
+        For binary files, it is used to determine the size and byte-order
+        of the items in the file.
+        Default is the default floating point data type for the device where
+        the returned array is allocated.
+    count : int, optional
+        Number of items to read. ``-1`` means all items (i.e., the complete
+        file).
+    sep : str, optional
+        Separator between items if `file` is a text file.
+        Empty ("") separator means the file should be treated as binary.
+        Spaces (" ") in the separator match zero or more whitespace characters.
+        A separator consisting only of spaces must match at least one
+        whitespace.
+    offset : int, optional
+        The offset (in bytes) from the file's current position. Defaults to 0.
+        Only permitted for binary files.
+    device : {None, string, SyclDevice, SyclQueue}, optional
+        An array API concept of device where the output array is created.
+        The `device` can be ``None`` (the default), an OneAPI filter selector
+        string, an instance of :class:`dpctl.SyclDevice` corresponding to
+        a non-partitioned SYCL device, an instance of :class:`dpctl.SyclQueue`,
+        or a `Device` object returned by
+        :obj:`dpnp.dpnp_array.dpnp_array.device` property.
+    usm_type : {"device", "shared", "host"}, optional
+        The type of SYCL USM allocation for the output array.
+        Default is "device".
+    sycl_queue : {None, SyclQueue}, optional
+        A SYCL queue to use for output array allocation and copying.
+
+    Returns
+    -------
+    out : dpnp.ndarray
+        A 1-dimensional array created from data in a text or binary file.
+
     Limitations
     -----------
-    Only float64, float32, int64, int32 types are supported.
+    Parameter `like` is supported only with default value ``None``.
+    Otherwise, the function raises `NotImplementedError` exception.
+
+    Notes
+    -----
+    This uses :obj:`numpy.fromfile` and coerces the result to a DPNP array.
+
+    See also
+    --------
+    :obj:`dpnp.frombuffer` : Construct array from the buffer data.
+    :obj:`dpnp.fromiter` : Construct array from an iterable object.
+    :obj:`dpnp.fromstring` : Construct array from the text data in a string.
+    :obj:`dpnp.load` : Load arrays or pickled objects from files.
+    :obj:`dpnp.save` : Save an array to a binary file.
+    :obj:`dpnp.ndarray.tofile` : Write array to a file as text or binary.
+    :obj:`dpnp.loadtxt` : More flexible way of loading data from a text file.
+
+    Examples
+    --------
+    Save the data to a temporary file:
+
+    >>> import tempfile
+    >>> fh = tempfile.TemporaryFile()
+    >>> fh.write(b"\x00\x01\x02\x03\x04")
+    >>> fh.flush()
+    >>> fh.seek(0)
+
+    Construct an array:
+
+    >>> import dpnp as np
+    >>> np.fromfile(fh, dtype="u1")
+    array([0, 1, 2, 3, 4], dtype=uint8)
+
+    Creating an array on a different device or with a specified usm_type
+
+    >>> fh.seek(0)
+    >>> x = np.fromfile(fh, dtype="u1") # default case
+    >>> x.device, x.usm_type
+    (Device(level_zero:gpu:0), 'device')
+
+    >>> fh.seek(0)
+    >>> y = np.fromfile(fh, dtype="u1", device='cpu')
+    >>> y.device, y.usm_type
+    (Device(opencl:cpu:0), 'device')
+
+    >>> fh.seek(0)
+    >>> z = np.fromfile(fh, dtype="u1", usm_type="host")
+    >>> z.device, z.usm_type
+    (Device(level_zero:gpu:0), 'host')
 
     """
 
-    return call_origin(numpy.fromfile, file, **kwargs)
+    _check_limitations(like=like)
+    return asarray(
+        numpy.fromfile(file, dtype=dtype, count=count, sep=sep, offset=offset),
+        device=device,
+        usm_type=usm_type,
+        sycl_queue=sycl_queue,
+    )
 
 
 def fromfunction(function, shape, **kwargs):
@@ -1466,19 +1651,87 @@ def fromiter(iterable, dtype, count=-1):
     return call_origin(numpy.fromiter, iterable, dtype, count)
 
 
-def fromstring(string, **kwargs):
+def fromstring(
+    string,
+    dtype=float,
+    count=-1,
+    *,
+    sep,
+    like=None,
+    device=None,
+    usm_type="device",
+    sycl_queue=None,
+):
     """
     A new 1-D array initialized from text data in a string.
 
     For full documentation refer to :obj:`numpy.fromstring`.
 
+    Parameters
+    ----------
+    string : str
+        A string containing the data.
+    dtype : data-type, optional
+        The data type of the array.
+        For binary input data, the data must be in exactly this format.
+        Default is the default floating point data type for the device where
+        the returned array is allocated.
+    count : int, optional
+        Read this number of `dtype` elements from the data. If this is negative
+        (the default), the count will be determined from the length of the data.
+    sep : str, optional
+        The string separating numbers in the data; extra whitespace between
+        elements is also ignored.
+    device : {None, string, SyclDevice, SyclQueue}, optional
+        An array API concept of device where the output array is created.
+        The `device` can be ``None`` (the default), an OneAPI filter selector
+        string, an instance of :class:`dpctl.SyclDevice` corresponding to
+        a non-partitioned SYCL device, an instance of :class:`dpctl.SyclQueue`,
+        or a `Device` object returned by
+        :obj:`dpnp.dpnp_array.dpnp_array.device` property.
+    usm_type : {"device", "shared", "host"}, optional
+        The type of SYCL USM allocation for the output array.
+        Default is "device".
+    sycl_queue : {None, SyclQueue}, optional
+        A SYCL queue to use for output array allocation and copying.
+
+    Returns
+    -------
+    out : dpnp.ndarray
+        The constructed array.
+
     Limitations
     -----------
-    Only float64, float32, int64, int32 types are supported.
+    Parameter `like` is supported only with default value ``None``.
+    Otherwise, the function raises `NotImplementedError` exception.
+
+    Notes
+    -----
+    This uses :obj:`numpy.fromstring` and coerces the result to a DPNP array.
+
+    See also
+    --------
+    :obj:`dpnp.frombuffer` : Construct array from the buffer data.
+    :obj:`dpnp.fromfile` : Construct array from data in a text or binary file.
+    :obj:`dpnp.fromiter` : Construct array from an iterable object.
+
+    Examples
+    --------
+    >>> import dpnp as np
+    >>> np.fromstring('1 2', dtype=int, sep=' ')
+    array([1, 2])
+    >>> np.fromstring('1, 2', dtype=int, sep=',')
+    array([1, 2])
 
     """
 
-    return call_origin(numpy.fromstring, string, **kwargs)
+    _check_limitations(like=like)
+    return asarray(
+        numpy.fromstring(string, dtype=dtype, count=count, sep=sep),
+        device=device,
+        usm_type=usm_type,
+        sycl_queue=sycl_queue,
+    )
 
 
 def full(

tests/test_arraycreation.py

@@ -52,6 +52,7 @@ def test_exception_order(func, args):
         pytest.param("asfortranarray", [2]),
         pytest.param("empty", [(2,)]),
         pytest.param("eye", [2]),
+        pytest.param("frombuffer", [b"\x01\x02\x03\x04"]),
         pytest.param("full", [(2,), 4]),
         pytest.param("identity", [2]),
         pytest.param("ones", [(2,)]),
@@ -208,21 +209,14 @@ def test_eye(N, M, k, dtype, order):
     assert_array_equal(func(numpy), func(dpnp))
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
-@pytest.mark.parametrize(
-    "dtype",
-    get_all_dtypes(
-        no_float16=False, no_none=False if has_support_aspect64() else True
-    ),
-)
+@pytest.mark.parametrize("dtype", get_all_dtypes(no_float16=False))
 def test_frombuffer(dtype):
     buffer = b"12345678ABCDEF00"
     func = lambda xp: xp.frombuffer(buffer, dtype=dtype)
-    assert_allclose(func(dpnp), func(numpy))
+    assert_dtype_allclose(func(dpnp), func(numpy))
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
-@pytest.mark.parametrize("dtype", get_all_dtypes())
+@pytest.mark.parametrize("dtype", get_all_dtypes(no_float16=False))
 def test_fromfile(dtype):
     with tempfile.TemporaryFile() as fh:
         fh.write(b"\x00\x01\x02\x03\x04\x05\x06\x07\x08")
@@ -236,7 +230,7 @@ def test_fromfile(dtype):
         fh.seek(0)
         dpnp_res = func(dpnp)
 
-        assert_almost_equal(dpnp_res, np_res)
+    assert_dtype_allclose(dpnp_res, np_res)
 
 
 @pytest.mark.usefixtures("allow_fall_back_on_numpy")
@@ -260,7 +254,6 @@ def test_fromiter(dtype):
     assert_array_equal(func(dpnp), func(numpy))
 
 
-@pytest.mark.usefixtures("allow_fall_back_on_numpy")
 @pytest.mark.parametrize("dtype", get_all_dtypes(no_float16=False))
 def test_fromstring(dtype):
     string = "1 2 3 4"