How to use inherited_method method in freezegun

Best Python code snippet using freezegun

utils.py

Source: utils.py Github

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...15 ]16 for method_name in result_list:17 inherited_method = getattr(super(subclass, subclass), method_name)18 def new_method(self, other, *, inherited_method=inherited_method):19 return self.from_timedelta(inherited_method(self, other))20 setattr(subclass, method_name, new_method)21 conditional_result_list = ["__truediv__", "__floordiv__", "__rtruediv__"]22 for method_name in conditional_result_list:23 inherited_method = getattr(super(subclass, subclass), method_name)24 def new_method(self, other, *, inherited_method=inherited_method):25 result = inherited_method(self, other)26 if type(result) == timedelta:27 return self.from_timedelta(result)28 return result29 setattr(subclass, method_name, new_method)30 divmod_list = ["__divmod__", "__rdivmod__"]31 for method_name in divmod_list:32 inherited_method = getattr(super(subclass, subclass), method_name)33 def new_method(self, other, *, inherited_method=inherited_method):34 q, r = inherited_method(self, other)35 if type(r) == timedelta:36 r = self.from_timedelta(r)37 return q, r38 setattr(subclass, method_name, new_method)39 self_list = ["__pos__", "__neg__", "__abs__"]40 for method_name in self_list:41 inherited_method = getattr(super(subclass, subclass), method_name)42 def new_method(self, *, inherited_method=inherited_method):43 return self.from_timedelta(inherited_method(self))44 setattr(subclass, method_name, new_method)45 return subclass46def convert_timestamp(timestamp: str) -> Optional[datetime]:47 """48 Converts the timestamp format returned by the API.49 Parameters50 ----------51 timestamp : str52 The string containing the timestamp.53 Returns54 -------55 Optional[datetime]56 A converted datetime object.\n57 `None` is returned if an empty string was passed....

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replicator.py

Source: replicator.py Github

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1import pandas as pd2from thermotar.utils import df_utils3class Replicator:4 def __init__(self,objects,indexes = None,index_names = None, get_methods = 'inheritable'):5 '''Grabs list of dataframes or objects with .data methods. Concatanates them into one dataframe and sets to this dfs df '''6 if not indexes:7 indexes = range(len(objects)) 8 9 self.index_names = index_names10 self.replicas = {index:item for index,item in zip(indexes,objects)}11 # assume homogenous12 try:13 # to do add some sort of index naming14 df = pd.concat([member.data for member in objects],keys=indexes,ignore_index=False,join='outer',names=index_names)15 except AttributeError:16 df = pd.concat(objects,keys=indexes,ignore_index=False,join='outer',names = index_names)17 self.data = df18 self.objects = objects19 def updata(self):20 ''' Update this object's big dataframe'''21 try:22 # to do add some sort of index naming23 df = pd.concat([member.data for member in self.replicas.values()],keys=self.replicas,ignore_index=False,join='outer',names=self.index_names)24 except AttributeError:25 df = pd.concat(self.replicas.values(),keys=self.replicas,ignore_index=False,join='outer',names = self.index_names)26 self.data = df27 # if get_methods == 'inheritable':28 # # some hackery to make the method that can be used by the replicatoron29 # for method_name in objects[0]._inheritable:30 31 # print(method_name)32 # inherited_method = getattr(objects[0],method_name)33 34 # #decorate(apply_sub_df)35 # decorated = apply_sub_df(inherited_method)36 # #set the doc string to the docstring of the inherited method.37 # decorated.__doc__ = inherited_method.__doc__38 # setattr(self,method_name,decorated)39 # # except AttributeError:40 # # Warning('No inheritable methods')41# a decorator for applying methods to sub frame of self.data42# def apply_sub_df(function):43# def wrapper(self, temp, rep,**kwargs):44# # df = self.data45# # sub_df = df.loc[temp,rep]46# # sub_df = function(sub_df,**kwargs)47# # # new columns48# # missing_cols = list(set(sub_df.columns) - set(df.columns) )49# # df = df_utils.new_cols(df,missing_cols)50# # df.loc[temp,rep]=sub_df.values51# # #return df52# return (self,temp,rep)53 ...

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forking_class.py

Source: forking_class.py Github

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1def rebind(target_class, core_name, method_name):2 def wrapper(self, *args, **kwargs):3 return getattr(getattr(self, core_name), method_name)(*args, **kwargs)4 setattr(target_class, method_name, wrapper)5def forking_class(forked_class, core_name, superclass_flag_name, superclass_dict, inherited_methods):6 def _init(self, superclass_flag, *args, **kwargs):7 setattr(self, core_name, superclass_dict[superclass_flag](*args, **kwargs))8 setattr(self, superclass_flag_name, superclass_flag)9 def _getattribute(self, item: str):10 try:11 return object.__getattribute__(self, item)12 except AttributeError as e:13 try:14 return object.__getattribute__(self, core_name).__getattribute__(item)15 except AttributeError:16 raise e17 def _setattr(self, item, value):18 try:19 getattr(object.__getattribute__(self, core_name), item)20 object.__getattribute__(self, core_name).__setattr__(item, value)21 except AttributeError:22 object.__setattr__(self, item, value)23 forked_class.__init__ = _init24 forked_class.__getattribute__ = _getattribute25 forked_class.__setattr__ = _setattr26 for inherited_method in inherited_methods:27 rebind(forked_class, core_name, inherited_method)28 return forked_class29def create_forked_class(class_name, *args, **kwargs):30 forked_class = type(class_name, (), {})...

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