beacon_aug/generator/operator_generator.py
def random_uniform_parse(self, paras):
        '''
        In case the lambda_function contain "random_uniform", need to run in instance not obj init
        '''
        if self.random_uniform_parse_equation is not None:
            for lib_parname in self.random_uniform_parse_equation:
                (lambda_function,  val) = self.random_uniform_parse_equation[lib_parname]
                paras[lib_parname] = (lambda x: eval(lambda_function))(val)
        return paras

        In case the lambda_function contain "random_uniform", need to run in instance not obj init
        
In case the lambda_function contain "random_uniform", need to run in instance not obj init
In case the lambda_function contain " random_uniform " need to run in instance not obj init
def random_uniform_parse(self, paras):
        if self.random_uniform_parse_equation is not None:
            for lib_parname in self.random_uniform_parse_equation:
                (lambda_function,  val) = self.random_uniform_parse_equation[lib_parname]
                paras[lib_parname] = (lambda x: eval(lambda_function))(val)
        return paras
def random_uniform_parse ( self , paras ) : if self . random_uniform_parse_equation is not None : for lib_parname in self . random_uniform_parse_equation : ( lambda_function , val ) = self . random_uniform_parse_equation [ lib_parname ] paras [ lib_parname ] = ( lambda x : eval ( lambda_function ) ) ( val ) return paras
In case the lambda_function contain "random_uniform", need to run in instance not obj init
In case the lambda_function contain " random_uniform " need to run in instance not obj init
'''
        In case the lambda_function contain "random_uniform", need to run in instance not obj init
        '''
self
paras