Allow to supress output.

从 issue 中所示的 Fire 入口点开始，并复现 pandas.DataFrame 示例。跟踪返回的对象在哪里被渲染，然后验证 opt-out 会抑制该自动描述，同时保留包装函数内部打印的输出。

I propose we allow to supress output.

def Fire(component=None, command=None, name=None, serialize=None, supress_output=False):
...
  if not supress_output:
    _PrintResult(
        component_trace, verbose=component_trace.verbose, serialize=serialize)

Why?

Let's try to wrap a function that returns a pd.DataFrame with Fire:

import pandas as pd
from os import PathLike
from fire import Fire
from functools import wraps

def do_stuff_with_df(path: PathLike) -> pd.DataFrame:
    df = pd.read_csv(path)
    print("***Print inside func***")
    # Do stuff here, save .csv and such.
    ...
    # return for usage in other funcs
    return df

if __name__ == "__main__":
    Fire(do_stuff_with_df)

And this is the output.

python .\test.py --path dummy.csv
***Print inside func***
NAME
    test.py --path dummy.csv - Two-dimensional, size-mutable, potentially heterogeneous tabular data.

SYNOPSIS
    test.py --path dummy.csv GROUP | COMMAND | VALUE

DESCRIPTION
    Data structure also contains labeled axes (rows and columns).
    Arithmetic operations align on both row and column labels. Can be
    thought of as a dict-like container for Series objects. The primary
    pandas data structure.
(We can scroll down for more!)
...

We get a description of pd.DataFrame. And we have to press Q enter normal terminal again.
That's quite inconvenient. A user would have to create and apply wrapper to not get this description.