Python core.ndarray方法代码示例

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                obj.metadata = self.metadata
                return obj

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo') 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                obj.metadata = self.metadata
                return obj

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo')

        # check 0d arrays don't decay to scalars
        m0d = m[0,...]
        m0d.metadata = 'bar'
        f0d = ufl.fix(m0d)
        assert_(isinstance(f0d, MyArray))
        assert_equal(f0d.metadata, 'bar') 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res
            def __array_wrap__(self, obj, context=None):
                obj.metadata = self.metadata
                return obj

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo') 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                if isinstance(obj, MyArray):
                    obj.metadata = self.metadata
                return obj

            def __array_finalize__(self, obj):
                self.metadata = getattr(obj, 'metadata', None)
                return self

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo')

        # check 0d arrays don't decay to scalars
        m0d = m[0,...]
        m0d.metadata = 'bar'
        f0d = ufl.fix(m0d)
        assert_(isinstance(f0d, MyArray))
        assert_equal(f0d.metadata, 'bar') 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def build_err_msg(arrays, err_msg, header='Items are not equal:',
                  verbose=True, names=('ACTUAL', 'DESIRED'), precision=8):
    msg = ['\n' + header]
    if err_msg:
        if err_msg.find('\n') == -1 and len(err_msg) < 79-len(header):
            msg = [msg[0] + ' ' + err_msg]
        else:
            msg.append(err_msg)
    if verbose:
        for i, a in enumerate(arrays):

            if isinstance(a, ndarray):
                # precision argument is only needed if the objects are ndarrays
                r_func = partial(array_repr, precision=precision)
            else:
                r_func = repr

            try:
                r = r_func(a)
            except Exception as exc:
                r = '[repr failed for <{}>: {}]'.format(type(a).__name__, exc)
            if r.count('\n') > 3:
                r = '\n'.join(r.splitlines()[:3])
                r += '...'
            msg.append(' %s: %s' % (names[i], r))
    return '\n'.join(msg) 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def build_err_msg(arrays, err_msg, header='Items are not equal:',
                  verbose=True, names=('ACTUAL', 'DESIRED'), precision=8):
    msg = ['\n' + header]
    if err_msg:
        if err_msg.find('\n') == -1 and len(err_msg) < 79-len(header):
            msg = [msg[0] + ' ' + err_msg]
        else:
            msg.append(err_msg)
    if verbose:
        for i, a in enumerate(arrays):

            if isinstance(a, ndarray):
                # precision argument is only needed if the objects are ndarrays
                r_func = partial(array_repr, precision=precision)
            else:
                r_func = repr

            try:
                r = r_func(a)
            except:
                r = '[repr failed]'
            if r.count('\n') > 3:
                r = '\n'.join(r.splitlines()[:3])
                r += '...'
            msg.append(' %s: %s' % (names[i], r))
    return '\n'.join(msg) 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def test_fix_with_subclass(self):
        class MyArray(nx.ndarray):
            def __new__(cls, data, metadata=None):
                res = nx.array(data, copy=True).view(cls)
                res.metadata = metadata
                return res

            def __array_wrap__(self, obj, context=None):
                obj.metadata = self.metadata
                return obj

            def __array_finalize__(self, obj):
                self.metadata = getattr(obj, 'metadata', None)
                return self

        a = nx.array([1.1, -1.1])
        m = MyArray(a, metadata='foo')
        f = ufl.fix(m)
        assert_array_equal(f, nx.array([1, -1]))
        assert_(isinstance(f, MyArray))
        assert_equal(f.metadata, 'foo')

        # check 0d arrays don't decay to scalars
        m0d = m[0,...]
        m0d.metadata = 'bar'
        f0d = ufl.fix(m0d)
        assert_(isinstance(f0d, MyArray))
        assert_equal(f0d.metadata, 'bar') 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def byte_bounds(a):
    """
    Returns pointers to the end-points of an array.

    Parameters
    ----------
    a : ndarray
        Input array. It must conform to the Python-side of the array
        interface.

    Returns
    -------
    (low, high) : tuple of 2 integers
        The first integer is the first byte of the array, the second
        integer is just past the last byte of the array.  If `a` is not
        contiguous it will not use every byte between the (`low`, `high`)
        values.

    Examples
    --------
    >>> I = np.eye(2, dtype='f'); I.dtype
    dtype('float32')
    >>> low, high = np.byte_bounds(I)
    >>> high - low == I.size*I.itemsize
    True
    >>> I = np.eye(2, dtype='G'); I.dtype
    dtype('complex192')
    >>> low, high = np.byte_bounds(I)
    >>> high - low == I.size*I.itemsize
    True

    """
    ai = a.__array_interface__
    a_data = ai['data'][0]
    astrides = ai['strides']
    ashape = ai['shape']
    bytes_a = asarray(a).dtype.itemsize

    a_low = a_high = a_data
    if astrides is None:
        # contiguous case
        a_high += a.size * bytes_a
    else:
        for shape, stride in zip(ashape, astrides):
            if stride < 0:
                a_low += (shape-1)*stride
            else:
                a_high += (shape-1)*stride
        a_high += bytes_a
    return a_low, a_high


#-----------------------------------------------------------------------------
# Function for output and information on the variables used.
#----------------------------------------------------------------------------- 

# 需要导入模块: from numpy import core [as 别名]
# 或者: from numpy.core import ndarray [as 别名]
def _info(obj, output=sys.stdout):
    """Provide information about ndarray obj.

    Parameters
    ----------
    obj : ndarray
        Must be ndarray, not checked.
    output
        Where printed output goes.

    Notes
    -----
    Copied over from the numarray module prior to its removal.
    Adapted somewhat as only numpy is an option now.

    Called by info.

    """
    extra = ""
    tic = ""
    bp = lambda x: x
    cls = getattr(obj, '__class__', type(obj))
    nm = getattr(cls, '__name__', cls)
    strides = obj.strides
    endian = obj.dtype.byteorder

    print("class: ", nm, file=output)
    print("shape: ", obj.shape, file=output)
    print("strides: ", strides, file=output)
    print("itemsize: ", obj.itemsize, file=output)
    print("aligned: ", bp(obj.flags.aligned), file=output)
    print("contiguous: ", bp(obj.flags.contiguous), file=output)
    print("fortran: ", obj.flags.fortran, file=output)
    print(
        "data pointer: %s%s" % (hex(obj.ctypes._as_parameter_.value), extra),
        file=output
        )
    print("byteorder: ", end=' ', file=output)
    if endian in ['|', '=']:
        print("%s%s%s" % (tic, sys.byteorder, tic), file=output)
        byteswap = False
    elif endian == '>':
        print("%sbig%s" % (tic, tic), file=output)
        byteswap = sys.byteorder != "big"
    else:
        print("%slittle%s" % (tic, tic), file=output)
        byteswap = sys.byteorder != "little"
    print("byteswap: ", bp(byteswap), file=output)
    print("type: %s" % obj.dtype, file=output)