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from collections import OrderedDict, abc as container_abc
from copy import deepcopy
import inspect
class Fake(object):
def __init__(self):
self.fake = 1
def singleton(cls):
instances = {}
def _singleton(*args, **kwargs):
if cls not in instances:
instances[cls] = cls(*args, **kwargs)
return instances[cls]
return _singleton
class Register(dict):
def __init__(self, *args, **kwargs):
super(Register, self).__init__(*args, **kwargs)
self._dict = {}
def register(self, target):
def add_register_item(key, value):
if not callable(value):
raise Exception(f"register object must be callable! But receice:{value} is not callable!")
if key in self._dict:
print(f"warning: \033[33m{value.__name__} has been registered before, so we will overriden it\033[0m")
self[key] = value
return value
if callable(target):
return add_register_item(target.__name__, target)
else:
return lambda x: add_register_item(target, x)
def register_function(self, target):
return self.register(target())
def __call__(self, target):
return self.register(target)
def __setitem__(self, key, value):
self._dict[key] = value
def __getitem__(self, key):
return self._dict[key]
def __contains__(self, key):
return key in self._dict
def __str__(self):
return str(self._dict)
def keys(self):
return self._dict.keys()
def values(self):
return self._dict.values()
def items(self):
return self._dict.items()
def convert_to_yaml(elements):
if isinstance(elements, tuple) or isinstance(elements, list):
return [convert_to_yaml(e) for e in elements]
if isinstance(elements, dict):
return {key: convert_to_yaml(value) for key, value in elements.items()}
return elements
class Constructor(Register):
def __init__(self):
super(Constructor, self).__init__()
self.func_args_dict = {}
self.non_cfg_obj_set = set()
def no_cfg_register(self, target):
self.non_cfg_obj_set.add(target.__name__)
self.register(target)
return target
def build_with_cfg(self, name_with_cfg, pop_name=True):
if name_with_cfg is None:
return None
name_with_cfg = name_with_cfg.copy()
name_with_cfg = ObjDict(name_with_cfg)
name = name_with_cfg.pop('name')
if not pop_name:
name_with_cfg['name'] = name
if name in self.non_cfg_obj_set:
return self[name](**name_with_cfg)
return self[name](name_with_cfg)
class MethodManager(object):
def __init__(self, cfg):
self.cfg = cfg
def __call__(self, name=None):
if name is None:
name = self.cfg.name
return self.__getattribute__(name)
class ObjDict(dict):
def __getattr__(self, name):
return self.get(name)
def __setattr__(self, name, val):
self[name] = val
def transform(self):
for key, item in self.items():
if isinstance(item, OrderedDict):
self[key] = ObjDict(item)
self[key].transform()
return self
def to_dict(self):
re_dict = {}
for key, item in self.items():
if isinstance(item, ObjDict):
re_dict[key] = item.to_dict()
else:
re_dict[key] = item
return re_dict
class AverageMeter(object):
"""Computes and stores the average and current value"""
def __init__(self):
self.reset()
def reset(self):
self.val = 0
self.avg = 0
self.sum = 0
self.count = 0
def update(self, val, n=1):
self.val = val
self.sum += val * n
self.count += n
self.avg = self.sum / self.count
def deep_dict_update(shop, custom):
for key, value in custom.items():
if key not in shop:
shop[key] = value
elif isinstance(value, container_abc.Mapping):
deep_dict_update(shop[key], custom[key])
else:
shop[key] = custom[key]
def boss_update(shop, custom):
for key, value in custom.items():
if key not in shop:
shop[key] = value
elif isinstance(value, container_abc.Mapping):
if 'name' in value and value['name'] != shop[key].get('name', None):
shop[key] = custom[key]
else:
boss_update(shop[key], custom[key])
else:
shop[key] = custom[key]
def value_dict_mean(dict_list):
re_dict = deepcopy(dict_list[0])
for i in range(1, len(dict_list)):
for key, value in dict_list[i].items():
re_dict[key] += value
for key in re_dict:
re_dict[key] /= len(dict_list)
return re_dict
def deep_dict_add(dict_1, dict_2, key_pool=None):
for key, value in dict_1.items():
if isinstance(value, container_abc.Mapping):
dict_1[key] = deep_dict_add(dict_1[key], dict_2[key], key_pool)
continue
if key_pool is not None and key not in key_pool:
continue
dict_1[key] += dict_2[key]
return dict_1
def deep_dict_sum(dict_list, key_pool):
re = dict_list[0]
for each_dict in dict_list[1:]:
re = deep_dict_add(re, each_dict, key_pool)
return re
def deep_dict_search(in_dict, target_key):
if target_key in in_dict:
return in_dict[target_key]
else:
for key in in_dict:
if isinstance(in_dict[key], container_abc.Mapping):
sub_search = deep_dict_search(in_dict[key], target_key)
if sub_search is not None:
return sub_search
return None
def deep_dict_func(in_dict, func, key_pool=None, strict=False):
def judge_key(in_key):
if key_pool is None:
return False
if strict and not isinstance(key_pool, list):
return in_key == key_pool
return in_key in key_pool
for key, value in in_dict.items():
if isinstance(value, container_abc.Mapping):
in_dict[key] = deep_dict_func(in_dict[key], func, key_pool, strict)
continue
if not judge_key(key):
continue
in_dict[key] = func(in_dict[key])
return in_dict
def deep_dict_prefix(in_dict, prefix):
if not isinstance(in_dict, container_abc.Mapping):
return in_dict
return {f'{prefix}_{k}': v for k, v in in_dict.items()}
def deep_dict_mean(dict_list, key_pool):
re_dict = deep_dict_sum(dict_list, key_pool)
re_dict = deep_dict_func(re_dict, lambda x: x / len(dict_list), key_pool)
return re_dict
def merge_dis_dict(gather_list):
re_dict = {}
for each_dict in gather_list:
re_dict.update(each_dict)
return re_dict
def deep_dict_get(in_dict, target, no_get=None):
if isinstance(target, list):
re = []
for t_i, t in enumerate(target):
n = no_get[t_i] if no_get is not None else None
re.append(deep_dict_get(in_dict, t, n))
if len(re) == 1:
return re[0]
return re
if target in in_dict:
return in_dict[target]
re = no_get
for key, value in in_dict.items():
if isinstance(value, container_abc.Mapping):
re = deep_dict_get(value, target, no_get)
if re != no_get:
return re
return re
def str2list(in_str):
if isinstance(in_str, list):
return in_str
return eval(in_str)
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