Question

在functions.php中，我想将一个函数附加到只有首页的钩子：

function dequeue_iw_theme_styles() {
  wp_dequeue_style('iw');
}
if (is_page('new-front-page')) {
    add_action('wp_print_styles', 'dequeue_iw_theme_styles', 100);  
}

这段代码不起作用。为什么呢？

Answer 1

反过来试试：

from sklearn.feature_extraction.text import CountVectorizer
    import numpy as np
    vectorizer = CountVectorizer(analyzer = "word",   \
                                 tokenizer = None,    \
                                 preprocessor = None, \
                                 stop_words = None,   \
                                 max_features = 1000)
    newTestFile = open("testfile.txt", 'r', encoding='latin-1')
    featureVector=vectorizer.fit_transform(newTestFile)
    train_data_features = featureVector.toarray()
    np.savetxt('plotFeatureVector.txt', train_data_features, fmt="%10s %10.3f")

The error:

    Traceback (most recent call last):
      File "C:/Users/NuMA/Desktop/Lecture Stuff/EE 485/Project/Deneme/bagOfWords.py", line 12, in <module>
        train_data_features = featureVector.toarray()
      File "C:\Users\NuMA\AppData\Local\Programs\Python\Python35-32\lib\site-packages\scipy\sparse\compressed.py", line 964, in toarray
        return self.tocoo(copy=False).toarray(order=order, out=out)
      File "C:\Users\NuMA\AppData\Local\Programs\Python\Python35-32\lib\site-packages\scipy\sparse\coo.py", line 252, in toarray
        B = self._process_toarray_args(order, out)
      File "C:\Users\NuMA\AppData\Local\Programs\Python\Python35-32\lib\site-packages\scipy\sparse\base.py", line 1039, in _process_toarray_args
        return np.zeros(self.shape, dtype=self.dtype, order=order)
    ValueError: array is too big; `arr.size * arr.dtype.itemsize` is larger than the maximum possible size.

我认为问题在于通过有条件地添加动作，你已经来不及判断它是否是某个模板。这样，无论如何都要添加操作，只有在模板匹配时才执行代码。

为什么在条件语句中没有正确执行add_action（）？

1 个答案: