Python numpy.ScalarType() 使用实例

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Example 1

def check_truediv(Poly):
    # true division is valid only if the denominator is a Number and
    # not a python bool.
    p1 = Poly([1,2,3])
    p2 = p1 * 5

    for stype in np.ScalarType:
        if not issubclass(stype, Number) or issubclass(stype, bool):
            continue
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in (int, long, float):
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in [complex]:
        s = stype(5, 0)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for s in [tuple(), list(), dict(), bool(), np.array([1])]:
        assert_raises(TypeError, op.truediv, p2, s)
        assert_raises(TypeError, op.truediv, s, p2)
    for ptype in classes:
        assert_raises(TypeError, op.truediv, p2, ptype(1)) 

Example 2

def check_truediv(Poly):
    # true division is valid only if the denominator is a Number and
    # not a python bool.
    p1 = Poly([1,2,3])
    p2 = p1 * 5

    for stype in np.ScalarType:
        if not issubclass(stype, Number) or issubclass(stype, bool):
            continue
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in (int, long, float):
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in [complex]:
        s = stype(5, 0)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for s in [tuple(), list(), dict(), bool(), np.array([1])]:
        assert_raises(TypeError, op.truediv, p2, s)
        assert_raises(TypeError, op.truediv, s, p2)
    for ptype in classes:
        assert_raises(TypeError, op.truediv, p2, ptype(1)) 

Example 3

def check_truediv(Poly):
    # true division is valid only if the denominator is a Number and
    # not a python bool.
    p1 = Poly([1,2,3])
    p2 = p1 * 5

    for stype in np.ScalarType:
        if not issubclass(stype, Number) or issubclass(stype, bool):
            continue
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in (int, long, float):
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in [complex]:
        s = stype(5, 0)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for s in [tuple(), list(), dict(), bool(), np.array([1])]:
        assert_raises(TypeError, op.truediv, p2, s)
        assert_raises(TypeError, op.truediv, s, p2)
    for ptype in classes:
        assert_raises(TypeError, op.truediv, p2, ptype(1)) 

Example 4

def check_truediv(Poly):
    # true division is valid only if the denominator is a Number and
    # not a python bool.
    p1 = Poly([1,2,3])
    p2 = p1 * 5

    for stype in np.ScalarType:
        if not issubclass(stype, Number) or issubclass(stype, bool):
            continue
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in (int, long, float):
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in [complex]:
        s = stype(5, 0)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for s in [tuple(), list(), dict(), bool(), np.array([1])]:
        assert_raises(TypeError, op.truediv, p2, s)
        assert_raises(TypeError, op.truediv, s, p2)
    for ptype in classes:
        assert_raises(TypeError, op.truediv, p2, ptype(1)) 

Example 5

def check_truediv(Poly):
    # true division is valid only if the denominator is a Number and
    # not a python bool.
    p1 = Poly([1,2,3])
    p2 = p1 * 5

    for stype in np.ScalarType:
        if not issubclass(stype, Number) or issubclass(stype, bool):
            continue
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in (int, long, float):
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in [complex]:
        s = stype(5, 0)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for s in [tuple(), list(), dict(), bool(), np.array([1])]:
        assert_raises(TypeError, op.truediv, p2, s)
        assert_raises(TypeError, op.truediv, s, p2)
    for ptype in classes:
        assert_raises(TypeError, op.truediv, p2, ptype(1)) 

Example 6

def check_truediv(Poly):
    # true division is valid only if the denominator is a Number and
    # not a python bool.
    p1 = Poly([1,2,3])
    p2 = p1 * 5

    for stype in np.ScalarType:
        if not issubclass(stype, Number) or issubclass(stype, bool):
            continue
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in (int, long, float):
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in [complex]:
        s = stype(5, 0)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for s in [tuple(), list(), dict(), bool(), np.array([1])]:
        assert_raises(TypeError, op.truediv, p2, s)
        assert_raises(TypeError, op.truediv, s, p2)
    for ptype in classes:
        assert_raises(TypeError, op.truediv, p2, ptype(1)) 

Example 7

def check_truediv(Poly):
    # true division is valid only if the denominator is a Number and
    # not a python bool.
    p1 = Poly([1,2,3])
    p2 = p1 * 5

    for stype in np.ScalarType:
        if not issubclass(stype, Number) or issubclass(stype, bool):
            continue
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in (int, long, float):
        s = stype(5)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for stype in [complex]:
        s = stype(5, 0)
        assert_poly_almost_equal(op.truediv(p2, s), p1)
        assert_raises(TypeError, op.truediv, s, p2)
    for s in [tuple(), list(), dict(), bool(), np.array([1])]:
        assert_raises(TypeError, op.truediv, p2, s)
        assert_raises(TypeError, op.truediv, s, p2)
    for ptype in classes:
        assert_raises(TypeError, op.truediv, p2, ptype(1)) 

Example 8

def initialize(self):
        self.metadata.declare('a', default=1., types=np.ScalarType)
        self.metadata.declare('b', default=1., types=np.ScalarType) 

Example 9

def __getitem__(self, key):
        if isinstance(key, str):
            raise MAError("Unavailable for masked array.")
        if not isinstance(key, tuple):
            key = (key,)
        objs = []
        scalars = []
        final_dtypedescr = None
        for k in range(len(key)):
            scalar = False
            if isinstance(key[k], slice):
                step = key[k].step
                start = key[k].start
                stop = key[k].stop
                if start is None:
                    start = 0
                if step is None:
                    step = 1
                if isinstance(step, complex):
                    size = int(abs(step))
                    newobj = np.linspace(start, stop, num=size)
                else:
                    newobj = np.arange(start, stop, step)
            elif isinstance(key[k], str):
                if (key[k] in 'rc'):
                    self.matrix = True
                    self.col = (key[k] == 'c')
                    continue
                try:
                    self.axis = int(key[k])
                    continue
                except (ValueError, TypeError):
                    raise ValueError("Unknown special directive")
            elif type(key[k]) in np.ScalarType:
                newobj = asarray([key[k]])
                scalars.append(k)
                scalar = True
            else:
                newobj = key[k]
            objs.append(newobj)
            if isinstance(newobj, ndarray) and not scalar:
                if final_dtypedescr is None:
                    final_dtypedescr = newobj.dtype
                elif newobj.dtype > final_dtypedescr:
                    final_dtypedescr = newobj.dtype
        if final_dtypedescr is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtypedescr)
        res = concatenate(tuple(objs), axis=self.axis)
        return self._retval(res) 

Example 10

def __getitem__(self, key):
        trans1d = self.trans1d
        ndmin = self.ndmin
        objs = []
        scalars = []
        arraytypes = []
        scalartypes = []
        if isinstance(key, six.string_types):
            raise NotImplementedError
        if not isinstance(key, tuple):
            key = (key,)

        for i, k in enumerate(key):
            scalar = False
            if isinstance(k, slice):
                raise NotImplementedError
            elif isinstance(k, six.string_types):
                if i != 0:
                    raise ValueError(
                        'special directives must be the first entry.')
                raise NotImplementedError
            elif type(k) in numpy.ScalarType:
                newobj = from_data.array(k, ndmin=ndmin)
                scalars.append(i)
                scalar = True
                scalartypes.append(newobj.dtype)
            else:
                newobj = from_data.array(k, copy=False, ndmin=ndmin)
                if ndmin > 1:
                    ndim = from_data.array(k, copy=False).ndim
                    if trans1d != -1 and ndim < ndmin:
                        newobj = self._output_obj(newobj, ndim, ndmin, trans1d)

            objs.append(newobj)
            if not scalar and isinstance(newobj, core.ndarray):
                arraytypes.append(newobj.dtype)

        final_dtype = numpy.find_common_type(arraytypes, scalartypes)
        if final_dtype is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtype)

        return join.concatenate(tuple(objs), axis=self.axis) 

Example 11

def __getitem__(self, key):
        if isinstance(key, str):
            raise MAError("Unavailable for masked array.")
        if not isinstance(key, tuple):
            key = (key,)
        objs = []
        scalars = []
        final_dtypedescr = None
        for k in range(len(key)):
            scalar = False
            if isinstance(key[k], slice):
                step = key[k].step
                start = key[k].start
                stop = key[k].stop
                if start is None:
                    start = 0
                if step is None:
                    step = 1
                if isinstance(step, complex):
                    size = int(abs(step))
                    newobj = np.linspace(start, stop, num=size)
                else:
                    newobj = np.arange(start, stop, step)
            elif isinstance(key[k], str):
                if (key[k] in 'rc'):
                    self.matrix = True
                    self.col = (key[k] == 'c')
                    continue
                try:
                    self.axis = int(key[k])
                    continue
                except (ValueError, TypeError):
                    raise ValueError("Unknown special directive")
            elif type(key[k]) in np.ScalarType:
                newobj = asarray([key[k]])
                scalars.append(k)
                scalar = True
            else:
                newobj = key[k]
            objs.append(newobj)
            if isinstance(newobj, ndarray) and not scalar:
                if final_dtypedescr is None:
                    final_dtypedescr = newobj.dtype
                elif newobj.dtype > final_dtypedescr:
                    final_dtypedescr = newobj.dtype
        if final_dtypedescr is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtypedescr)
        res = concatenate(tuple(objs), axis=self.axis)
        return self._retval(res) 

Example 12

def __getitem__(self, key):
        if isinstance(key, str):
            raise MAError("Unavailable for masked array.")
        if not isinstance(key, tuple):
            key = (key,)
        objs = []
        scalars = []
        final_dtypedescr = None
        for k in range(len(key)):
            scalar = False
            if isinstance(key[k], slice):
                step = key[k].step
                start = key[k].start
                stop = key[k].stop
                if start is None:
                    start = 0
                if step is None:
                    step = 1
                if isinstance(step, complex):
                    size = int(abs(step))
                    newobj = np.linspace(start, stop, num=size)
                else:
                    newobj = np.arange(start, stop, step)
            elif isinstance(key[k], str):
                if (key[k] in 'rc'):
                    self.matrix = True
                    self.col = (key[k] == 'c')
                    continue
                try:
                    self.axis = int(key[k])
                    continue
                except (ValueError, TypeError):
                    raise ValueError("Unknown special directive")
            elif type(key[k]) in np.ScalarType:
                newobj = asarray([key[k]])
                scalars.append(k)
                scalar = True
            else:
                newobj = key[k]
            objs.append(newobj)
            if isinstance(newobj, ndarray) and not scalar:
                if final_dtypedescr is None:
                    final_dtypedescr = newobj.dtype
                elif newobj.dtype > final_dtypedescr:
                    final_dtypedescr = newobj.dtype
        if final_dtypedescr is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtypedescr)
        res = concatenate(tuple(objs), axis=self.axis)
        return self._retval(res) 

Example 13

def __getitem__(self, key):
        if isinstance(key, str):
            raise MAError("Unavailable for masked array.")
        if not isinstance(key, tuple):
            key = (key,)
        objs = []
        scalars = []
        final_dtypedescr = None
        for k in range(len(key)):
            scalar = False
            if isinstance(key[k], slice):
                step = key[k].step
                start = key[k].start
                stop = key[k].stop
                if start is None:
                    start = 0
                if step is None:
                    step = 1
                if isinstance(step, complex):
                    size = int(abs(step))
                    newobj = np.linspace(start, stop, num=size)
                else:
                    newobj = np.arange(start, stop, step)
            elif isinstance(key[k], str):
                if (key[k] in 'rc'):
                    self.matrix = True
                    self.col = (key[k] == 'c')
                    continue
                try:
                    self.axis = int(key[k])
                    continue
                except (ValueError, TypeError):
                    raise ValueError("Unknown special directive")
            elif type(key[k]) in np.ScalarType:
                newobj = asarray([key[k]])
                scalars.append(k)
                scalar = True
            else:
                newobj = key[k]
            objs.append(newobj)
            if isinstance(newobj, ndarray) and not scalar:
                if final_dtypedescr is None:
                    final_dtypedescr = newobj.dtype
                elif newobj.dtype > final_dtypedescr:
                    final_dtypedescr = newobj.dtype
        if final_dtypedescr is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtypedescr)
        res = concatenate(tuple(objs), axis=self.axis)
        return self._retval(res) 

Example 14

def __getitem__(self, key):
        if isinstance(key, str):
            raise MAError("Unavailable for masked array.")
        if not isinstance(key, tuple):
            key = (key,)
        objs = []
        scalars = []
        final_dtypedescr = None
        for k in range(len(key)):
            scalar = False
            if isinstance(key[k], slice):
                step = key[k].step
                start = key[k].start
                stop = key[k].stop
                if start is None:
                    start = 0
                if step is None:
                    step = 1
                if isinstance(step, complex):
                    size = int(abs(step))
                    newobj = np.linspace(start, stop, num=size)
                else:
                    newobj = np.arange(start, stop, step)
            elif isinstance(key[k], str):
                if (key[k] in 'rc'):
                    self.matrix = True
                    self.col = (key[k] == 'c')
                    continue
                try:
                    self.axis = int(key[k])
                    continue
                except (ValueError, TypeError):
                    raise ValueError("Unknown special directive")
            elif type(key[k]) in np.ScalarType:
                newobj = asarray([key[k]])
                scalars.append(k)
                scalar = True
            else:
                newobj = key[k]
            objs.append(newobj)
            if isinstance(newobj, ndarray) and not scalar:
                if final_dtypedescr is None:
                    final_dtypedescr = newobj.dtype
                elif newobj.dtype > final_dtypedescr:
                    final_dtypedescr = newobj.dtype
        if final_dtypedescr is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtypedescr)
        res = concatenate(tuple(objs), axis=self.axis)
        return self._retval(res) 

Example 15

def __getitem__(self, key):
        if isinstance(key, str):
            raise MAError("Unavailable for masked array.")
        if not isinstance(key, tuple):
            key = (key,)
        objs = []
        scalars = []
        final_dtypedescr = None
        for k in range(len(key)):
            scalar = False
            if isinstance(key[k], slice):
                step = key[k].step
                start = key[k].start
                stop = key[k].stop
                if start is None:
                    start = 0
                if step is None:
                    step = 1
                if isinstance(step, complex):
                    size = int(abs(step))
                    newobj = np.linspace(start, stop, num=size)
                else:
                    newobj = np.arange(start, stop, step)
            elif isinstance(key[k], str):
                if (key[k] in 'rc'):
                    self.matrix = True
                    self.col = (key[k] == 'c')
                    continue
                try:
                    self.axis = int(key[k])
                    continue
                except (ValueError, TypeError):
                    raise ValueError("Unknown special directive")
            elif type(key[k]) in np.ScalarType:
                newobj = asarray([key[k]])
                scalars.append(k)
                scalar = True
            else:
                newobj = key[k]
            objs.append(newobj)
            if isinstance(newobj, ndarray) and not scalar:
                if final_dtypedescr is None:
                    final_dtypedescr = newobj.dtype
                elif newobj.dtype > final_dtypedescr:
                    final_dtypedescr = newobj.dtype
        if final_dtypedescr is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtypedescr)
        res = concatenate(tuple(objs), axis=self.axis)
        return self._retval(res) 

Example 16

def __getitem__(self, key):
        if isinstance(key, str):
            raise MAError("Unavailable for masked array.")
        if not isinstance(key, tuple):
            key = (key,)
        objs = []
        scalars = []
        final_dtypedescr = None
        for k in range(len(key)):
            scalar = False
            if isinstance(key[k], slice):
                step = key[k].step
                start = key[k].start
                stop = key[k].stop
                if start is None:
                    start = 0
                if step is None:
                    step = 1
                if isinstance(step, complex):
                    size = int(abs(step))
                    newobj = np.linspace(start, stop, num=size)
                else:
                    newobj = np.arange(start, stop, step)
            elif isinstance(key[k], str):
                if (key[k] in 'rc'):
                    self.matrix = True
                    self.col = (key[k] == 'c')
                    continue
                try:
                    self.axis = int(key[k])
                    continue
                except (ValueError, TypeError):
                    raise ValueError("Unknown special directive")
            elif type(key[k]) in np.ScalarType:
                newobj = asarray([key[k]])
                scalars.append(k)
                scalar = True
            else:
                newobj = key[k]
            objs.append(newobj)
            if isinstance(newobj, ndarray) and not scalar:
                if final_dtypedescr is None:
                    final_dtypedescr = newobj.dtype
                elif newobj.dtype > final_dtypedescr:
                    final_dtypedescr = newobj.dtype
        if final_dtypedescr is not None:
            for k in scalars:
                objs[k] = objs[k].astype(final_dtypedescr)
        res = concatenate(tuple(objs), axis=self.axis)
        return self._retval(res) 
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