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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def _parse_opensearch_response(products):
 """Convert a query response to a dictionary. The resulting dictionary structure is {<product id>: {<property>: <value>}}. The property values are converted to their respective Python types unless `parse_values` is set to `False`. """


    converters = {'date': _parse_iso_date, 'int': int, 'long': int, 'float': float, 'double': float}
    # Keep the string type by default
    default_converter = lambda x: x

    output = OrderedDict()
    for prod in products:
        product_dict = {}
        prod_id = prod['id']
        output[prod_id] = product_dict
        for key in prod:
            if key == 'id':
                continue
            if isinstance(prod[key], string_types):
                product_dict[key] = prod[key]
            else:
                properties = prod[key]
                if isinstance(properties, dict):
                    properties = [properties]
                if key == 'link':
                    for p in properties:
                        name = 'link'
                        if 'rel' in p:
                            name = 'link_' + p['rel']
                        product_dict[name] = p['href']
                else:
                    f = converters.get(key, default_converter)
                    for p in properties:
                        try:
                            product_dict[p['name']] = f(p['content'])
                        except KeyError:
                            # Sentinel-3 has one element 'arr'
                            # which violates the name:content convention
                            product_dict[p['name']] = f(p['str'])
    return output