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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_schema(schema, method):
 """ Convert a Schema Object to a Python object. Args: schema: An ``OrderedDict`` representing the schema object. """

    if method and schema.get('readOnly', False):
        return _READONLY_PROPERTY

    # allOf: Must be valid against all of the subschemas
    if 'allOf' in schema:
        schema_ = copy.deepcopy(schema['allOf'][0])
        for x in schema['allOf'][1:]:
            _dict_merge(schema_, x)

        return _parse_schema(schema_, method)

    # anyOf: Must be valid against any of the subschemas
    # TODO(stephenfin): Handle anyOf

    # oneOf: Must be valid against exactly one of the subschemas
    if 'oneOf' in schema:
        # we only show the first one since we can't show everything
        return _parse_schema(schema['oneOf'][0], method)

    if 'enum' in schema:
        # we only show the first one since we can't show everything
        return schema['enum'][0]

    schema_type = schema.get('type', 'object')

    if schema_type == 'array':
        # special case oneOf so that we can show examples for all possible
        # combinations
        if 'oneOf' in schema['items']:
            return [
                _parse_schema(x, method) for x in schema['items']['oneOf']]

        return [_parse_schema(schema['items'], method)]

    if schema_type == 'object':
        if method and all(v.get('readOnly', False)
                          for v in schema['properties'].values()):
            return _READONLY_PROPERTY

        results = []
        for name, prop in schema.get('properties', {}).items():
            result = _parse_schema(prop, method)
            if result != _READONLY_PROPERTY:
                results.append((name, result))

        return collections.OrderedDict(results)

    if (schema_type, schema.get('format')) in _TYPE_MAPPING:
        return _TYPE_MAPPING[(schema_type, schema.get('format'))]

    return _TYPE_MAPPING[(schema_type, None)]