case in point中文版

"Case in point"是一个英语短语，意为"典型例子"或者"明确事例"。它通常用于强调或者证明某个观点或者论点。这个短语可以用来引出一个特定的案例或者事件，以证明某种情况确实发生或者存在。

举个例子，假设我们在讨论环境污染对人类健康的影响。我们可以说，"大城市中的空气污染是一个很严重的问题，'case in point'就是北京市。北京市污染水平极高，每年都面临着雾霾的困扰。这个事例可以说明环境污染对人类健康的直接影响。"

在另一个例子中，我们在谈论教育的重要性。我们可能会说，"教育对个人发展至关重要，'case in point'就是某某名人。他出身贫寒，但通过努力学习取得了巨大的成功。这个例子表明了教育的力量和影响。"

总之，"case in point"在英语中用来指出特定的案例或者事件，以证明某一观点或者论点。它帮助我们以一个典型的例子来支持我们的说法或者论证，使得我们的观点更加具有说服力。

相关问题

public void onAccessibilityEvent(AccessibilityEvent event) { int eventType = event.getEventType(); switch (eventType) { case AccessibilityEvent.TYPE_VIEW_CLICKED: Point point = new Point(event.getX(), event.getY()); break; }，这段代码出现错误：Cannot resolve method 'getX' in 'AccessibilityEvent'是什么原因

AccessibilityEvent类中并没有getX()方法，getX()是View类中的方法。如果你想获取事件发生的坐标，可以使用AccessibilityEvent的getParcelableData()方法获取一个Parcelable类型的数据，然后将其转换为AccessibilityClickableSpanInfo对象，通过该对象的getX()和getY()方法获取坐标。具体代码如下：

public void onAccessibilityEvent(AccessibilityEvent event) {
    int eventType = event.getEventType();
    switch (eventType) {
        case AccessibilityEvent.TYPE_VIEW_CLICKED:
            Parcelable data = event.getParcelableData();
            if (data instanceof AccessibilityClickableSpanInfo) {
                AccessibilityClickableSpanInfo clickableSpanInfo = (AccessibilityClickableSpanInfo) data;
                Point point = new Point(clickableSpanInfo.getX(), clickableSpanInfo.getY());
                // do something with the point
            }
            break;
    }
}

convert 1.75 to floating point representation IEEE 1958

Sure, I can help you with that.

To convert 1.75 to floating point representation IEEE 1958, we need to follow certain steps:

Step 1: Convert the decimal number 1.75 to binary.
1. Convert the integer part 1 to binary -> 1
2. Convert the fraction part 0.75 to binary:
0.75 x 2 = 1.5 (1 goes to the bit after the comma)
0.5 x 2 = 1 (1 goes to the next bit)
0

So 1.75 in binary is represented as 1.11

Step 2: Normalize the binary number
The binary number is normalized by moving the decimal point to the left so that there is only one non-zero digit before the decimal point. In this case, the binary number is already normalized.

Step 3: Determine the sign, exponent, and mantissa
Sign: Since the number is positive, the sign bit is 0.
Exponent: The exponent can be calculated using the formula:

exponent = (number of bits for exponent - 1) + bias

For IEEE 1958 floating point representation, the bias value is 127, and the number of bits for the exponent is 8.
In this case, the exponent is 0 + 127 = 127

Mantissa: The mantissa is the fractional part of the normalized binary number.
In this case, the mantissa is 1.11, which can be represented as:

1.11 = 1 + 1/2 + 1/4 = 1.5

The mantissa is then represented in binary as:

1.5 = 1.1000...

So the sign bit is 0, the exponent in binary is 01111111, and the mantissa in binary is 10000000000000000000000.

Putting it all together, 1.75 in floating point representation IEEE 1958 is:

0 11111111 10000000000000000000000

I hope this helps! Is there anything else I can assist you with?