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How to use merge_configs method in autotest

Best Python code snippet using autotest_python

configurations.py

Source:configurations.py

...39                incfiles = [incfiles]40            for predfile in incfiles:41                confpath = os.path.join(self.tailseeker_dir, 'conf', predfile)42                predconf = self.load_config(open(confpath))43                confdict = self.merge_configs(confdict, predconf)44            confdict = self.merge_configs(confdict, usersettings)45            return confdict46        else:47            return usersettings48    def merge_configs(self, conf1, conf2):49        merged = {}50        for conf1only in set(conf1) - set(conf2):51            merged[conf1only] = conf1[conf1only]52        for conf2only in set(conf2) - set(conf1):53            merged[conf2only] = conf2[conf2only]54        for shared in set(conf1) & set(conf2):55            if isinstance(conf1[shared], dict) != isinstance(conf1[shared], dict):56                raise ValueError('Layout is different between overriding configurations.')57            if isinstance(conf1[shared], dict):58                merged[shared] = self.merge_configs(conf1[shared], conf2[shared])59            else:60                merged[shared] = conf2[shared] # conf2 is overriding conf1.61        return merged62    def __getitem__(self, name):63        return self.confdata[name]64    def __contains__(self, name):65        return name in self.confdata66    def get(self, name, default=None):67        return self.confdata.get(name, default)68    def expand_sample_settings(self, node):69        predefined = {70            '_all': self.all_samples,71            '_exp': self.exp_samples,72            '_spk': self.spikein_samples,...

test.py

Source:test.py

...50    args = parser.parse_args()51    if 'LOCAL_RANK' not in os.environ:52        os.environ['LOCAL_RANK'] = str(args.local_rank)53    return args54def merge_configs(cfg1, cfg2):55    # Merge cfg2 into cfg156    # Overwrite cfg1 if repeated, ignore if value is None.57    cfg1 = {} if cfg1 is None else cfg1.copy()58    cfg2 = {} if cfg2 is None else cfg259    for k, v in cfg2.items():60        if v:61            cfg1[k] = v62    return cfg163def main():64    args = parse_args()65    cfg = mmcv.Config.fromfile(args.config)66    # Load output_config from cfg67    output_config = cfg.get('output_config', {})68    # Overwrite output_config from args.out69    output_config = merge_configs(output_config, dict(out=args.out))70    # Load eval_config from cfg71    eval_config = cfg.get('eval_config', {})72    # Overwrite eval_config from args.eval73    eval_config = merge_configs(eval_config, dict(metrics=args.eval))74    # Add options from args.option75    eval_config = merge_configs(eval_config, args.options)76    assert output_config or eval_config, \77        ('Please specify at least one operation (save or eval the '78         'results) with the argument "--out" or "--eval"')79    # set cudnn benchmark80    if cfg.get('cudnn_benchmark', False):81        torch.backends.cudnn.benchmark = True82    cfg.data.test.test_mode = True83    if cfg.test_cfg is None:84        cfg.test_cfg = dict(average_clips=args.average_clips)85    else:86        cfg.test_cfg.average_clips = args.average_clips87    # init distributed env first, since logger depends on the dist info.88    if args.launcher == 'none':89        distributed = False...

config.py

Source:config.py

...11    tiny_db: TinyDbConfig = TinyDbConfig()12class Config(AConfig):13    db: DbDriverConfigOptions = DbDriverConfigOptions()14DEFAULT_CONFIGS = Config()15def merge_configs(config: AConfig, custom_config: Optional[Dict[str, Any]] = None) -> AConfig:16    """Examples:17    >>> default_config_value = "bar"18    >>> class TestConfigClass(AConfig):19    ...     class TestConfigClassEmbedded(AConfig):20    ...         foo = default_config_value21    ...     sub_config = TestConfigClassEmbedded()22    ...     foo = default_config_value23    ...24    ...     def __str__(self):25    ...         return f'foo: {self.foo}, sub_config: foo: {self.sub_config.foo}'26    ...27    >>> def get_test_config():28    ...     return TestConfigClass()29    1. merge_configs: returns base config without changes if no custom configs are supplied30    >>> test_config = get_test_config()31    >>> result_config = merge_configs(test_config)32    >>> test_config.foo == result_config.foo == default_config_value33    True34    >>> test_config.sub_config.foo == result_config.sub_config.foo == default_config_value35    True36    2. merge_configs: returns partially merged config values if a partial custom config is given37    >>> test_config = get_test_config()38    >>> custom_config = {'foo': 'zed'}39    >>> result_config = merge_configs(test_config, custom_config)40    >>> result_config.foo == custom_config['foo']41    True42    >>> test_config.sub_config.foo == result_config.sub_config.foo == default_config_value43    True44    3. merge_configs: returns fully merged config values if full custom config is given45    >>> test_config = get_test_config()46    >>> custom_config = {'foo': 'zed', 'sub_config': {'foo': 'zar'}}47    >>> result_config = merge_configs(test_config, custom_config)48    >>> result_config.foo == custom_config['foo']49    True50    >>> result_config.sub_config.foo == custom_config['sub_config']['foo']51    True52    """53    def _update_config(base_config: AConfig, custom_config: Dict[str, Any]) -> AConfig:54        members = getmembers(base_config)55        for (key, value) in members:56            if isinstance(value, AConfig) and key in custom_config:57                _update_config(value, custom_config[key])58            elif key in custom_config and not hasattr(value, '__dict__'):59                setattr(base_config, key, custom_config[key])60        return base_config61    return _update_config(config, custom_config) if custom_config else config62def initialize_custom_configs(config_path: str) -> AConfig:63    with open(config_path) as file:64        custom_config: Dict[str, Any] = json.load(file)65    base_configs = Config()...

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