How to use the pyignite.datatypes.Int function in pyignite

[
                ('type_id', Int),
                ('type_name', String),
                ('affinity_key_field', String),
                ('binary_fields', binary_fields_struct),
                ('is_enum', Bool),
                ('enums', enum_struct),
                ('schema', schema_struct),
            ],
            query_id=query_id,
        )
    else:
        query_struct = Query(
            OP_PUT_BINARY_TYPE,
            [
                ('type_id', Int),
                ('type_name', String),
                ('affinity_key_field', String),
                ('binary_fields', binary_fields_struct),
                ('is_enum', Bool),
                ('schema', schema_struct),
            ],
            query_id=query_id,
        )
    result = query_struct.perform(connection, query_params=data)
    if result.status == 0:
        result.value = {
            'type_id': type_id,
            'schema_id': schema_id,
        }
    return result

def fields_or_field_count(self):
        if self.include_field_names:
            return 'fields', StringArray
        return 'field_count', Int

if query_args is None:
        query_args = []

    query_struct = Query(
        OP_QUERY_SQL,
        [
            ('hash_code', Int),
            ('flag', Byte),
            ('table_name', String),
            ('query_str', String),
            ('query_args', AnyDataArray()),
            ('distributed_joins', Bool),
            ('local', Bool),
            ('replicated_only', Bool),
            ('page_size', Int),
            ('timeout', Long),
        ],
        query_id=query_id,
    )
    result = query_struct.perform(
        connection,
        query_params={
            'hash_code': cache_id(cache),
            'flag': 1 if binary else 0,
            'table_name': table_name,
            'query_str': query_str,
            'query_args': query_args,
            'distributed_joins': 1 if distributed_joins else 0,
            'local': 1 if local else 0,
            'replicated_only': 1 if replicated_only else 0,
            'page_size': page_size,

def __init__(
        self, username: Optional[str]=None, password: Optional[str]=None
    ):
        fields = [
            ('length', Int),
            ('op_code', Byte),
            ('version_major', Short),
            ('version_minor', Short),
            ('version_patch', Short),
            ('client_code', Byte),
        ]
        if username and password:
            self.username = username
            self.password = password
            fields.extend([
                ('username', String),
                ('password', String),
            ])
        self.handshake_struct = Struct(fields)

body_struct = Struct([
    ('type_id', Int),
    ('type_name', String),
    ('affinity_key_field', String),
    ('binary_fields', binary_fields_struct),
    ('is_enum', Bool),
])

enum_struct = StructArray([
    ('literal', String),
    ('type_id', Int),
])

schema_fields_struct = StructArray([
    ('schema_field_id', Int),
])

schema_struct = StructArray([
    ('schema_id', Int),
    ('schema_fields', schema_fields_struct),
])

def fields_or_field_count(self):
        if self.include_field_names:
            return 'fields', StringArray
        return 'field_count', Int

Gets configuration for the given cache.

    :param connection: connection to Ignite server,
    :param cache: name or ID of the cache,
    :param flags: Ignite documentation is unclear on this subject,
    :param query_id: (optional) a value generated by client and returned as-is
     in response.query_id. When the parameter is omitted, a random value
     is generated,
    :return: API result data object. Result value is OrderedDict with
     the cache configuration parameters.
    """

    query_struct = Query(
        OP_CACHE_GET_CONFIGURATION,
        [
            ('hash_code', Int),
            ('flags', Byte),
        ],
        query_id=query_id,
    )
    result = query_struct.perform(
        connection,
        query_params={
            'hash_code': cache_id(cache),
            'flags': flags,
        },
        response_config=[
            ('cache_config', cache_config_struct),
        ],
    )
    if result.status == 0:
        result.value = compact_cache_config(result.value['cache_config'])

should be converted,
    :param value_hint: (optional) Ignite data type, for which the given value
     should be converted.
    :param binary: (optional) pass True to keep the value in binary form. False
     by default,
    :param query_id: (optional) a value generated by client and returned as-is
     in response.query_id. When the parameter is omitted, a random value
     is generated,
    :return: API result data object. Contains zero status on success,
     non-zero status and an error description otherwise.
    """

    query_struct = Query(
        OP_CACHE_PUT_IF_ABSENT,
        [
            ('hash_code', Int),
            ('flag', Byte),
            ('key', key_hint or AnyDataObject),
            ('value', value_hint or AnyDataObject),
        ],
        query_id=query_id,
    )
    result = query_struct.perform(
        connection,
        query_params={
            'hash_code': cache_id(cache),
            'flag': 1 if binary else 0,
            'key': key,
            'value': value,
        },
        response_config=[
            ('success', Bool),

def fields_or_field_count(self):
        if self.include_field_names:
            return 'fields', StringArray
        return 'field_count', Int