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Question

我正在开发一个jitclass，其中一个方法可以接受int colorBlack = Color.parseColor("#000000"); pieChart.setEntryLabelColor(colorBlack);，int或float的输入参数。我需要能够确定参数是否是数组或其他两种类型。我已尝试使用numpy.ndarray，如下面的isinstance方法所示：

interp

但是我收到以下错误：

spec = [('x', float64[:]),
        ('y', float64[:])]


@jitclass(spec)
class Lookup:
    def __init__(self, x, y):
        self.x = x
        self.y = y

    def interp(self, x0):
        if isinstance(x0, (float, int)):
            result = self._interpolate(x0)
        elif isinstance(x0, np.ndarray):
            result = np.zeros(x0.size)
            for i in range(x0.size):
                result[i] = self._interpolate(x0[i])
        else:
            raise TypeError("`interp` method can only accept types of float, int, or ndarray.")
        return result

    def _interpolate(self, x0):
        x = self.x
        y = self.y
        if x0 < x[0]:
            return y[0]
        elif x0 > x[-1]:
            return y[-1]
        else:
            for i in range(len(x) - 1):
                if x[i] <= x0 <= x[i + 1]:
                    x1, x2 = x[i], x[i + 1]
                    y1, y2 = y[i], y[i + 1]

                    return y1 + (y2 - y1) / (x2 - x1) * (x0 - x1)

在使用jitclasses或在nopython模式下，有没有办法确定输入参数是否属于某种类型？

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我之前应该提到这一点，但使用numba.errors.TypingError: Failed at nopython (nopython frontend) Failed at nopython (nopython frontend) Untyped global name 'isinstance': cannot determine Numba type of <class 'builtin_function_or_method'> File "Lookups.py", line 17 [1] During: resolving callee type: BoundFunction((<class 'numba.types.misc.ClassInstanceType'>, 'interp') for instance.jitclass.Lookup#2167664ca28<x:array(float64, 1d, A),y:array(float64, 1d, A)>) [2] During: typing of call at <string> (3)内置也似乎不起作用。例如，如果我将type方法替换为：

interp

我收到以下错误：

def interp(self, x0):
        if type(x0) == float or type(x0) == int:
            result = self._interpolate(x0)
        elif type(x0) == np.ndarray:
            result = np.zeros(x0.size)
            for i in range(x0.size):
                result[i] = self._interpolate(x0[i])
        else:
            raise TypeError("`interp` method can only accept types of float, int, or ndarray.")
        return result

我认为当我执行类似numba.errors.TypingError: Failed at nopython (nopython frontend) Failed at nopython (nopython frontend) Invalid usage of == with parameters (class(int64), Function(<class 'float'>))之类的操作时，指的是python float和numba int64的比较。

Answer 1

如果你需要确定并比较一个numba jitclass或nopython jit函数中的类型，那你就不走运了，因为isinstance根本不受支持{{1}仅支持几个数字类型和namedtuples（请注意，这只返回类型 - 它不适合比较 - 因为{0}没有为numba函数中的类实现）。

从Numba 0.35开始，唯一受支持的内置插件是（来源：numba documentation）：

支持以下内置功能：
type

我的建议：使用普通的Python类并确定其类型，然后转发到==相应的函数：

abs()
bool
complex
divmod()
enumerate()
float
int: only the one-argument form
iter(): only the one-argument form
len()
min()
max()
next(): only the one-argument form
print(): only numbers and strings; no file or sep argument
range: semantics are similar to those of Python 3 even in Python 2: a range object is returned instead of an array of values.
round()
sorted(): the key argument is not supported
type(): only the one-argument form, and only on some types (e.g. numbers and named tuples)
zip()

Answer 2

从 numba 0.52 开始，支持 Private WithEvents Thing As Class1 '<~ requires Public Event declaration in Class1. Private Sub Class_Initialize() Set Thing = Class1 '<~ will not compile unless Class1 has VB_PredeclaredId=True. End Sub。因此，如果您只想区分 swagger: "2.0" info: description: "APIs for managing My Site" version: "0.0.3" title: "My API" contact: email: "email@email.com" license: name: "Copyright Amzu IT Ltd" host: "apihost-xxxx.a.run.app" x-google-endpoints: - name: "apihost-xxxx.a.run.app" allowCors: True x-google-backend: address: https://<nodejs-expess-cloud-run-url>.a.run.app protocol: h2 schemes: - "https" paths: /test: get: operationId: Testing summary: A Test Endpoint to check if the URL is working. description: A Test Endpoint to check if the URL is working, does not have any security enabled for this URL. responses: 200: description: Success schema: type: "string" security: - key: [] securityDefinitions: key: type: apiKey in: header name: x-api-key firebase: authorizationUrl: "" flow: "implicit" type: "oauth2" x-google-issuer: "https://securetoken.google.com/REMOVED" x-google-jwks_uri: "https://www.googleapis.com/service_accounts/v1/metadata/x509/securetoken@system.gserviceaccount.com" x-google-audiences: "REMOVED" 和标量，可以使用以下方法：

np.shape()

np.ndarray

Answer 3

使用type()？

blah = []
if type(blah) is list:
    print "Is a list"

blah = 5
if type(blah) is int:
    print "we have an int"

即：

>>> blah = 5
>>> type(blah)
<type 'int'>
>>>

确定jitclass方法的输入参数类型

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3 个答案: