# 7.1 Variable Arguments

### Positional variable arguments (*args)

A function that accepts *any number* of arguments is said to use variable arguments.
For example:

```python
def foo(x, *args):
    ...
```

Function call.

```python
foo(1,2,3,4,5)
```

The arguments get passed as a tuple.

```python
def foo(x, *args):
    # x -> 1
    # args -> (2,3,4,5)
```

### Keyword variable arguments (**kwargs)

A function can also accept any number of keyword arguments.
For example:

```python
def foo(x, y, **kwargs):
    ...
```

Function call.

```python
foo(2,3,flag=True,mode='fast',header='debug')
```

The extra keywords are passed in a dictionary.

```python
def foo(x, y, **kwargs):
    # x -> 2
    # y -> 3
    # kwargs -> { 'flat': True, 'mode': 'fast', 'header': 'debug' }
```

### Combining both

A function can also combine any number of variable keyword and non-keyword arguments.
Function definition.

```python
def foo(*args, **kwargs):
    ...
```

This function takes any combination of positional or keyword arguments.
It is sometimes used when writing wrappers or when you want to pass arguments through to another function.

### Passing Tuples and Dicts

Tuples can be expanded into variable arguments.

```python
numbers = (2,3,4)
foo(1, *numbers)      # Same as f(1,2,3,4)
```

Dictionaries can also be expaded into keyword arguments.

```python
options = {
    'color' : 'red',
    'delimiter' : ',',
    'width' : 400
}
foo(data, **options)
# Same as foo(data, color='red', delimiter=',', width=400)
```

These are not commonly used except when writing library functions.

## Exercises

### Exercise 7.1: A simple example of variable arguments

Try defining the following function:

```python
>>> def avg(x,*more):
        return float(x+sum(more))/(1+len(more))

>>> avg(10,11)
10.5
>>> avg(3,4,5)
4.0
>>> avg(1,2,3,4,5,6)
3.5
>>>
```

Notice how the parameter `*more` collects all of the extra arguments.

### Exercise 7.2: Passing tuple and dicts as arguments

Suppose you read some data from a file and obtained a tuple such as
this:

```
>>> data = ('GOOG', 100, 490.1)
>>>
```

Now, suppose you wanted to create a `Stock` object from this
data.  If you try to pass `data` directly, it doesn't work:

```
>>> from stock import Stock
>>> s = Stock(data)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
TypeError: __init__() takes exactly 4 arguments (2 given)
>>> 
```

This is easily fixed using `*data` instead.  Try this:

``python
>>> s = Stock(*data)
>>> s
Stock('GOOG', 100, 490.1)
>>>
```

If you have a dictionary, you can use `**` instead. For example:

```python
>>> data = { 'name': 'GOOG', 'shares': 100, 'price': 490.1 }
>>> s = Stock(**data)
Stock('GOOG', 100, 490.1)
>>>
```

### Exercise 7.3: Creating a list of instances

In your `report.py` program, you created a list of instances
using code like this:

```python
def read_portfolio(filename):
    '''
    Read a stock portfolio file into a list of dictionaries with keys
    name, shares, and price.
    '''
    with open(filename) as lines:
        portdicts = fileparse.parse_csv(lines, 
                               select=['name','shares','price'], 
                               types=[str,int,float])

    portfolio = [ Stock(d['name'], d['shares'], d['price']) 
                  for d in portdicts ]
    return Portfolio(portfolio)
```

You can simplify that code using `Stock(**d)` instead.  Make that change.

### Exercise 7.4: Argument pass-through

The `fileparse.parse_csv()` function has some options for changing the
file delimiter and for error reporting.  Maybe you'd like to expose those
options to the `read_portfolio()` function above.   Make this change:

```
def read_portfolio(filename, **opts):
    '''
    Read a stock portfolio file into a list of dictionaries with keys
    name, shares, and price.
    '''
    with open(filename) as lines:
        portdicts = fileparse.parse_csv(lines, 
                                        select=['name','shares','price'], 
                                        types=[str,int,float],
                                        **opts)

    portfolio = [ Stock(**d) for d in portdicts ]
    return Portfolio(portfolio)
```

Once you've made the change, trying reading a file with some errors:

```python
>>> import report
>>> port = report.read_portfolio('Data/missing.csv')
Row 4: Couldn't convert ['MSFT', '', '51.23']
Row 4: Reason invalid literal for int() with base 10: ''
Row 7: Couldn't convert ['IBM', '', '70.44']
Row 7: Reason invalid literal for int() with base 10: ''
>>>
```

Now, try silencing the errors:

```python
>>> import report
>>> port = report.read_portfolio('Data/missing.csv', silence_errors=True)
>>>
```

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