小编use*_*456的帖子

我有以下代码尝试删除 Windows 7 计算机上的文件：

    // check if this item has an uploaded image file
    var imageFullPathName = __dirname + "/../public/images/" + req.params.itemId;
    logger.log("imageFullPathName = " + imageFullPathName);
    var normalizedPathName = path.normalize(imageFullPathName);
    logger.log("normalizedPathName = " + normalizedPathName);

    // delete the image if it exists
    fs.exists(normalizedPathName, function(exists) {
        console.log("Found the file: " + normalizedPathName);
        normalizedPathName = normalizedPathName.replace(/\\/g,"\\\\");
        console.log("New path name = " + normalizedPathName);
        fs.unlink(normalizedPathName, function(err){
            if (err){
                console.error("Error in call to fs.unlink");
            }
        });
    });

我得到以下输出：

imageFullPathName = C:\IronKey\hes\cscie-71\project\medical-interchange\routes/../public/images/5658e5612103cb2c41000006

规范化路径名称 = …

我正在尝试在一个简单的程序中打印python张量。该程序使用张量流读取器从文件中读取虹膜数据集。如果我取消注释该程序的最后一行，它将永远挂起。目标是打印sepal_length，sepal_width等。我该怎么做才能打印sepal_length张量？

import tensorflow as tf

def read_csv(batch_size, file_name, record_defaults):
    filename_queue = tf.train.string_input_producer(["iris.data"])

    reader = tf.TextLineReader(skip_header_lines=1)
    key, value = reader.read(filename_queue)

    # decode_csv will convert a Tensor from type string (the text line) in
    # a tuple of tensor columns with the specified defaults, which also
    # sets the data type for each column
    decoded = tf.decode_csv(value, record_defaults=record_defaults)

    # batch actually reads the file and loads "batch_size" rows in a single tensor
    return tf.train.shuffle_batch(decoded,
                                  batch_size=batch_size,
                                  capacity=batch_size * 50,
                                  min_after_dequeue=batch_size)

with tf.Session() as …

我是tensorflow的新手，我试图编写一个tensorflow程序来递归计算斐波那契数。下面的程序是我最终得到的，但是由于许多我不理解的错误而失败了。有人可以帮助我了解我在做什么以及如何解决。这是我的程序：

import tensorflow as tf
tf.logging.set_verbosity(tf.logging.ERROR)

with tf.Graph().as_default() as g:
    fib_seed_0 = tf.Variable(0, name = "fib_seed_0")
    fib_seed_1 = tf.Variable(1, name = "fib_seed_1")

    def fib(n):
        return tf.cond(tf.equal(n, fib_seed_0), lambda: tf.identity(n),
       lambda: tf.cond(tf.equal(n, fib_seed_1), lambda: tf.identity(n),
       lambda: tf.add(fib(tf.subtract(n, 1)), fib(tf.subtract(n, 2)))))

    fib_to_calc = tf.Variable(5, name = "fib_to_calc")

    init = tf.global_variables_initializer()

    with tf.Session() as sess:
        sess.run(init)
        print(sess.run(fib(fib_to_calc)))

这是上面的tensorflow程序试图在python翻译中执行的操作：

def F(n):
    if n == 0:
        return 0
    elif n == 1:
        return 1
    else:
        return F(n-1) + F(n-2)

这是错误日志的示例。它不断地：

Traceback (most recent call last): …

我对 elisp 编程真的很陌生，我正在尝试编写一个 Emacs elisp 函数来删除突出显示区域中的所有非 ASCII 字符。我在这里找到了一个关于如何查找非 ASCII 字符的示例 elisp 函数：https : //www.emacswiki.org/emacs/FindingNonAsciiCharacters。我试图自己修改它，但无法让它工作。有人可以告诉我如何修改以下 elisp 函数以删除 GNU Emacs 中突出显示区域中的所有非 ASCII 字符：

(defun find-first-non-ascii-char ()
  "Find the first non-ascii character from point onwards."
  (interactive)
  (let (point)
    (save-excursion
      (setq point
            (catch 'non-ascii
              (while (not (eobp))
                (or (eq (char-charset (following-char))
                        'ascii)
                    (throw 'non-ascii (point)))
                (forward-char 1)))))
    (if point
        (goto-char point)
        (message "No non-ascii characters."))))