def store_cfg(filename: Union[str, Path], d: dict):
filename = str(filename)
data = Box(d)
if "yml" in filename or "yaml" in filename:
Box(XConfig.decode(data.to_dict())).to_yaml(filename)
if "json" in filename:
Box(XConfig.decode(data.to_dict())).to_json(filename)
if "toml" in filename:
Box(XConfig.decode(data.to_dict())).to_toml(filename)
def setUp(self):
self.box = Box(PackSize.A)
def setUp(self):
self.boxGroup = BoxGroup()
self.boxGroup.boxes = [Box(PackSize.A), Box(PackSize.B)]
def complex_data():
np.random.seed(666)
placeholders = []
env_variables = []
pl_generator = PlaceholderGenerator()
sample_dict = {
"one": pl_generator.create_placeholder(
placeholders, "int", [6, 7, 8, "default=10"]
),
"two": np.random.randint(-50, 50, (3, 3)).tolist(),
"three": {
"3.1": "TrueValue",
"2.1": [False, False],
"name": {
"name_1": pl_generator.create_placeholder(placeholders, "float"),
"name_2": 2,
"name_3": {
"this_is_a_list": [3.3, 3.3],
"this_is_A_dict": {
"a": {
"f": True,
"s": False,
"numpy_array": np.array([1.0, 2, 3]),
"numpy_data": np.array([1.0, 2, 3])[0],
"tuple": ("a", "b", "2"),
"boxlist": BoxList([1, 2, 3, 4]),
"boxdict": Box({"a": 2.2}),
}
},
},
},
},
"first": {
"f1": pl_generator.create_placeholder(
placeholders, "str", ["alpha", "beta", "gamma"]
), # placeholders[2],
"f2": 2.22,
"f3": [3, 3, 3, 3, 3, 3],
"external": {
"ext": np.random.uniform(-2, 2, (2, 3)).tolist(),
"ext_name": [pl_generator.create_placeholder(placeholders, "bool")],
},
"ops": {
"o1": pl_generator.create_placeholder(placeholders), # placeholders[4],
"o2": pl_generator.create_placeholder(
placeholders, "path"
), # placeholders[5],
"o3": pl_generator.create_placeholder(
placeholders, "date"
), # placeholders[6],
"o4": pl_generator.create_placeholder(
placeholders, "str", ["A", "B", "C", "default=C"]
), # placeholders[7],
"o5": pl_generator.create_placeholder(placeholders), # placeholders[8],
"o6": pl_generator.create_placeholder(placeholders), # placeholders[9]
},
"env": [
pl_generator.create_placeholder(
env_variables, "env"
), # env_variables[0],
pl_generator.create_placeholder(env_variables, "env"),
],
"key": {
"with": 120,
"dots": pl_generator.create_placeholder(placeholders, "object"),
},
"key.with.dots": pl_generator.create_placeholder(
placeholders
), # placeholders[10],
"key.with...many.....dots": pl_generator.create_placeholder(placeholders),
"nested.key": {"with.dots": pl_generator.create_placeholder(placeholders)},
"placeholder_object": pl_generator.create_placeholder(placeholders),
"placeholder_cfg": pl_generator.create_placeholder(
placeholders, "cfg"
), # placeholders[15],
"placeholder_cfg_root": pl_generator.create_placeholder(
placeholders, "cfg_root"
), # ,
},
}
schema = Schema(
{
"one": Or(int, str),
"two": list,
"three": {
"3.1": str,
"2.1": [bool],
"name": dict,
},
"first": {Regex(""): Or(str, int, list, float, dict)},
}
)
to_be_raplaced_keys = sorted(
[
"three.name",
"three.name.name_3",
"three.name.name_3.this_is_A_dict",
"first",
"first.external",
],
reverse=True,
)
return {
"data": XConfig.decode(sample_dict),
"schema": schema,
"placeholders": placeholders,
"environment_variables": env_variables,
"to_be_replaced": to_be_raplaced_keys,
}
