我们从Python开源项目中，提取了以下16个代码示例，用于说明如何使用numpy.ScalarType()。
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))
def initialize(self): self.metadata.declare('a', default=1., types=np.ScalarType) self.metadata.declare('b', default=1., types=np.ScalarType)
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)
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)
