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name : request.pyo 
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    The basis for a command line tool that represents a request.  The data for
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     - method:   the HTTP method to use (e.g. 'GET').  Defaults to self.METHOD.
     - path:     the path to append to the service's path (e.g. 'sub/dir')
     - headers:  a dict of HTTP headers
     - params:   a dict of query parameters
     - body:     a string or file object containing a request body, or a dict
                 to pass to the server as form data

    This specialization of BaseCommand that implements main() as a three-step
    process:
     - preprocess():   do any processing needed before sending the request,
                       such as parsing complex command line arguments and
                       storing them in self.params, self.headers, and so forth.
     - send():         send this request to the server using the data stored
                       in its attributes, parse it using self.parse_result(),
                       and return it
     - postprocess():  given a parsed response, do any processing needed before
                       main() returns the response.

    Most requests need only implement preprocess().  Requests whose workflows
    involve sending other requests often do so in postprocess(), where the
    result of the request is known.

    Important members of this class, in addition to those inherited from
    BaseCommand, include:
     - SERVICE_CLASS:  a class corresponding to the web service in use
     - AUTH_CLASS:     a class corresponding to the authentication method
                       to use, if any
     - NAME:           a string representing the name of this request.
                       This defaults to the class's name.
     - METHOD:         the HTTP method to use by default
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        The main processing method for this type of request.  In this method,
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        Given a possibly-nested dict of args and an arg routing
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        key-value pairs suitable for use as query parameters.  This
        implementation flattens dicts and lists into the format given
        by AWS query APIs, which use dotted lists of dict keys and list
        indices to indicate nested structures.

        Keys with non-boolean, non-zero values that evaluate as false
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        Examples:
          in:  {'InstanceId': 'i-12345678', 'PublicIp': '1.2.3.4'}
          out: {'InstanceId': 'i-12345678', 'PublicIp': '1.2.3.4'}

          in:  {'RegionName': ['us-east-1', 'us-west-1']}
          out: {'RegionName.1': 'us-east-1',
                'RegionName.2': 'us-west-1'}

          in:  {'Filter': [{'Name':  'image-id',
                            'Value': ['ami-12345678']},
                           {'Name':  'instance-type',
                            'Value': ['m1.small', 't1.micro']}],
                'InstanceId': ['i-24680135']}
          out: {'Filter.1.Name':    'image-id',
                'Filter.1.Value.1': 'ami-12345678',
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                'Filter.2.Value.1': 'm1.small',
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