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| """ |
| Contain small python utility functions |
| """ |
|
|
| import importlib.util |
| import re |
| from functools import lru_cache |
| from typing import Any, Dict, List, Union |
|
|
| import numpy as np |
| import yaml |
| from yaml import Dumper |
|
|
|
|
| def is_sci_notation(number: float) -> bool: |
| pattern = re.compile(r"^[+-]?\d+(\.\d*)?[eE][+-]?\d+$") |
| return bool(pattern.match(str(number))) |
|
|
|
|
| def float_representer(dumper: Dumper, number: Union[float, np.float32, np.float64]): |
| if is_sci_notation(number): |
| value = str(number) |
| if "." not in value and "e" in value: |
| value = value.replace("e", ".0e", 1) |
| else: |
| value = str(round(number, 3)) |
|
|
| return dumper.represent_scalar("tag:yaml.org,2002:float", value) |
|
|
|
|
| yaml.add_representer(float, float_representer) |
| yaml.add_representer(np.float32, float_representer) |
| yaml.add_representer(np.float64, float_representer) |
|
|
|
|
| @lru_cache |
| def is_package_available(name: str) -> bool: |
| return importlib.util.find_spec(name) is not None |
|
|
|
|
| def union_two_dict(dict1: Dict[str, Any], dict2: Dict[str, Any]) -> Dict[str, Any]: |
| """Union two dict. Will throw an error if there is an item not the same object with the same key.""" |
| for key in dict2.keys(): |
| if key in dict1: |
| assert dict1[key] == dict2[key], f"{key} in dict1 and dict2 are not the same object" |
|
|
| dict1[key] = dict2[key] |
|
|
| return dict1 |
|
|
|
|
| def append_to_dict(data: Dict[str, List[Any]], new_data: Dict[str, Any]) -> None: |
| """Append dict to a dict of list.""" |
| for key, val in new_data.items(): |
| if key not in data: |
| data[key] = [] |
|
|
| data[key].append(val) |
|
|
|
|
| def unflatten_dict(data: Dict[str, Any], sep: str = "/") -> Dict[str, Any]: |
| unflattened = {} |
| for key, value in data.items(): |
| pieces = key.split(sep) |
| pointer = unflattened |
| for piece in pieces[:-1]: |
| if piece not in pointer: |
| pointer[piece] = {} |
|
|
| pointer = pointer[piece] |
|
|
| pointer[pieces[-1]] = value |
|
|
| return unflattened |
|
|
|
|
| def flatten_dict(data: Dict[str, Any], parent_key: str = "", sep: str = "/") -> Dict[str, Any]: |
| flattened = {} |
| for key, value in data.items(): |
| new_key = parent_key + sep + key if parent_key else key |
| if isinstance(value, dict): |
| flattened.update(flatten_dict(value, new_key, sep=sep)) |
| else: |
| flattened[new_key] = value |
|
|
| return flattened |
|
|
|
|
| def convert_dict_to_str(data: Dict[str, Any]) -> str: |
| return yaml.dump(data, indent=2) |
|
|
