def test_config_deep_merge_variables():
config_str = """[a]\nb= 1\nc = 2\n\n[d]\ne = ${a:b}"""
defaults_str = """[a]\nx = 100\n\n[d]\ny = 500"""
config = Config().from_str(config_str, interpolate=False)
defaults = Config().from_str(defaults_str)
merged = defaults.merge(config)
assert merged["a"] == {"b": 1, "c": 2, "x": 100}
assert merged["d"] == {"e": "${a:b}", "y": 500}
assert merged.interpolate()["d"] == {"e": 1, "y": 500}
# With variable in defaults: overwritten by new value
config = Config().from_str("""[a]\nb= 1\nc = 2""")
defaults = Config().from_str("""[a]\nb = 100\nc = ${a:b}""", interpolate=False)
merged = defaults.merge(config)
assert merged["a"]["c"] == 2
def test_create_nlp_from_pretraining_config():
"""Test that the default pretraining config validates properly"""
config = Config().from_str(pretrain_config_string)
pretrain_config = load_config(DEFAULT_CONFIG_PRETRAIN_PATH)
filled = config.merge(pretrain_config)
registry.resolve(filled["pretraining"], schema=ConfigSchemaPretrain)
