google/cloud/bigquery/job.py
def to_api_repr(self):
        """Build an API representation of the load job config.

        :rtype: dict
        :returns: A dictionary in the format used by the BigQuery API.
        """
        config = copy.deepcopy(self._properties)
        if len(self.schema) > 0:
            config['schema'] = {'fields': _build_schema_resource(self.schema)}
        # skipLeadingRows is a string because it's defined as an int64, which
        # can't be represented as a JSON number.
        slr = config.get('skipLeadingRows')
        if slr is not None:
            config['skipLeadingRows'] = str(slr)
        return config
Build an API representation of the load job config.

        :rtype: dict
        :returns: A dictionary in the format used by the BigQuery API.
        
Build an API representation of the load job config.
Build an API representation of the load job config .
def to_api_repr(self):
        config = copy.deepcopy(self._properties)
        if len(self.schema) > 0:
            config['schema'] = {'fields': _build_schema_resource(self.schema)}
        slr = config.get('skipLeadingRows')
        if slr is not None:
            config['skipLeadingRows'] = str(slr)
        return config
def to_api_repr ( self ) : config = copy . deepcopy ( self . _properties ) if len ( self . schema ) > 0 : config [ 'schema' ] = { 'fields' : _build_schema_resource ( self . schema ) } slr = config . get ( 'skipLeadingRows' ) if slr is not None : config [ 'skipLeadingRows' ] = str ( slr ) return config
Build an API representation of the load job config.
Build an API representation of the load job config .
"""Build an API representation of the load job config.

        :rtype: dict
        :returns: A dictionary in the format used by the BigQuery API.
        """ # skipLeadingRows is a string because it's defined as an int64, which # can't be represented as a JSON number.
A dictionary in the format used by the BigQuery API.
A dictionary in the format used by the BigQuery API .
dict
self