Which of the following statements a), b) or c) is false?

Question 19 options:

The Python Standard Library's dataclasses module defines decorators and functions for implementing data classes.

Use the @dataclass decorator to specify that a new class is a data class and causes various code to be written for you.

ClassVar from the Python Standard Library's typing module can be used to indicate that a variable is a class variable.

All of the above statements are true.

Question 20 (1 point)

Which of the following statements a), b) or c) is false?

Question 20 options:

To specify that a class is a data class, precede its definition with the @dataclass decorator, as in:

@dataclass

class Card:

Optionally, the @dataclass decorator may specify parentheses containing arguments that help the data class determine what autogenerated methods to include.

The decorator @dataclass(order=True) would cause the data class to autogenerate overloaded comparison operator methods for <, <=, > and >=. This might be useful, for example, if you need to sort your data-class objects.

All of the above statements are true.

Question 21 (1 point)

Data classes also offer various advantages over the traditional Python classes you saw earlier in this chapter. Which of the following statements is false?

Question 21 options:

A data class autogenerates __init__, __repr__ and __eq__, saving you time.

A data class cannot autogenerate the special methods that overload the <, <=, > and >= comparison operators.

The required variable annotations for class attributes and data attributes enable you to take advantage of static code analysis tools. So, you might be able to eliminate additional errors before they can occur at execution time.

Some static code analy-sis tools and IDEs can inspect variable annotations and issue warnings if your code uses the wrong type. This can help you locate logic errors in your code before you execute it.

Question 22 (1 point)

Which of the following statements a), b) or c) is false?

Question 22 options:

The Python Standard Library provides the doctest module to help you test your code and conveniently retest it after you make modifications.

When you execute the doctest module's testmod function, it inspects your functions', methods' and classes' docstrings looking for sample Python statements preceded by >>>, each followed on the next line by the given statement's expected output (if any). The testmod function then executes those statements and confirms that they produce the expected output. If they do not, testmod reports errors indicating which tests failed so you can locate and fix the problems in your code.

Each test you define in a docstring typically tests a specific unit of code, such as a function, a method or a class. Such tests are called integration tests.

All of the above statements are true.

Question 23 (1 point)

Which of the following statements a), b) or c) is false?

Question 23 options:

When you load any module, Python assigns a string containing the module's name to a global attribute of the module called __name__.

When you execute a Python source file (such as accountdoctest.py) as a script, Python uses the string '__main__' as the module's name.

You can use __name__ in an if statement to specify code that should execute only if the source file is executed as a script.

All of the above statements are true.