[Good first issue | Feature] Add Regex Inspector

[MooooCat]

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🚅Description

This inspector determines whether a column matches the regular expression given by the user and outputs the column names.

Add an Inspector that accepts two parameters:

• User defined regular expression (string type);
• Whether it is a PII column (bool type): whether the column contains private information.

🏕Solution(optional)

The content is as follows:

• Inherit sdgx.data_models.inspector.base.Inspector and implement the fit method;
• Inherit sdgx.data_models.inspector.base.Inspector and implement the inspect method;
• Complete examples of using this Inspector to infer data types;
• Complete necessary test cases.

🍰Detail(optional)

For the __init__ method:

• This method should contain regular expressions as input parameter;
• Necessary checks should be executed on regular expressions.

For the fit method, the input parameters should be:

• raw_data (pd.DataFrame): the input data;
• It is recommended to add a match_rate parameter (default is set to 0.8 or other values). This parameter is between 0-1, when a column of data with a "match_rate" ratio matches the regular expression, this column should appear in the inspect results.

For inspect method:

• Like other inspectors, should output the names of columns that match the data type inferred by this inspector.
• Output PII attributes for easy updating to metadata.

🍰Example(optional)

inspectors = InspectorManager().init_inspcetors(
        include_inspectors, exclude_inspectors, **(inspector_init_kwargs or {})
    )
for inspector in inspectors:
    inspector.fit(df)

metadata = Metadata(primary_keys=[df.columns[0]], column_list=list(df.columns))
for inspector in inspectors:
    metadata.update(inspector.inspect())