import ml_collections

def get_testing():
    """Returns a minimal configuration for testing."""
    config = ml_collections.ConfigDict()
    config.patches = ml_collections.ConfigDict({'size': (16, 16)})
    config.hidden_size = 1
    config.transformer = ml_collections.ConfigDict()
    config.transformer.mlp_dim = 1
    config.transformer.num_heads = 1
    config.transformer.num_layers = 1
    config.transformer.attention_dropout_rate = 0.0
    config.transformer.dropout_rate = 0.1
    config.classifier = 'token'
    config.representation_size = None
    return config


def get_b16_config():
    """Returns the ViT-B/16 configuration."""
    config = ml_collections.ConfigDict()
    config.patches = ml_collections.ConfigDict({'size': (16, 16)})
    config.split = 'non-overlap'
    config.slide_step = 12
    config.hidden_size = 768
    config.transformer = ml_collections.ConfigDict()
    config.transformer.mlp_dim = 3072
    config.transformer.num_heads = 12
    config.transformer.num_layers = 12
    config.transformer.attention_dropout_rate = 0.0
    config.transformer.dropout_rate = 0.1
    config.classifier = 'token'
    config.representation_size = None
    return config

def get_b32_config():
    """Returns the ViT-B/32 configuration."""
    config = get_b16_config()
    config.patches.size = (32, 32)
    return config

def get_l16_config():
    """Returns the ViT-L/16 configuration."""
    config = ml_collections.ConfigDict()
    config.patches = ml_collections.ConfigDict({'size': (16, 16)})
    config.hidden_size = 1024
    config.transformer = ml_collections.ConfigDict()
    config.transformer.mlp_dim = 4096
    config.transformer.num_heads = 16
    config.transformer.num_layers = 24
    config.transformer.attention_dropout_rate = 0.0
    config.transformer.dropout_rate = 0.1
    config.classifier = 'token'
    config.representation_size = None
    return config

def get_l32_config():
    """Returns the ViT-L/32 configuration."""
    config = get_l16_config()
    config.patches.size = (32, 32)
    return config

def get_h14_config():
    """Returns the ViT-L/16 configuration."""
    config = ml_collections.ConfigDict()
    config.patches = ml_collections.ConfigDict({'size': (14, 14)})
    config.hidden_size = 1280
    config.transformer = ml_collections.ConfigDict()
    config.transformer.mlp_dim = 5120
    config.transformer.num_heads = 16
    config.transformer.num_layers = 32
    config.transformer.attention_dropout_rate = 0.0
    config.transformer.dropout_rate = 0.1
    config.classifier = 'token'
    config.representation_size = None
    return config