1. Definition: Encapsulates a series of object interactions with a mediation object. Mediators make the interaction of objects unnecessary to display, thus making the coupling loose, and can independently change the interaction between them. 2. Resolution: It doesn't matter if you don't understand this passage. Let's look at a scene like this first: The company has one leader and nine employees. One day, the leader will go to the company's
1 Mediator Pattern mediator pattern Purpose: Encapsulate a series of object interactions with an intermediary object. The intermediary makes it unnecessary for each object to refer to each other explicitly, thus making its coupling loose and changing the interactions between them independently.Implementation: Defines an object that encapsulates the way a group of objects interact. 1. Use when multiple classes are coupled to form a network structure, separating the network structure
Encapsulates a series of object interactions with an intermediary object. The intermediary makes the objects interact without display, thus making the coupling loose, and can independently change the interactions between their fingers. Composition of Mediator PatternMediator Abstract Mediator Role: The abstract mediator role defines a unified interface for communication between various colleague roles.Concrete Mediator Specific Mediator Role: The specific mediator role realizes cooperative behavior by coordinating various colleague roles, so
code is as follows: #coding:utf-8 import string,os,sys import numpy as np import matplotlib.pyplot as plt import scipy.io import random import csv import tensorflow as tf import pandas as pd filename = "/home/yc/prid_2011_test/ptest.csv" data = pd.read_csv(filename,dtype='a') label = np.array(data['pid']) img_data = np.array(data['pixels']) N_sample = label.size Face_data = np.zeros((N_sample, 128*64)) Face_label=np.zeros((N_sample,40),dtype=int) for i in range(N_sample): x = img_data[i] x = np.fromstring(x, dtype=float, sep=' ') x_max = x.max() x = x/(x_max+0.0001) Face_data[i] =
brief introduction New move, Raspberry Pi 2 generation idle for a period of time.Because I like watching some movies or entertainment programs on the computer in my spare time, sometimes some friends come and several people move a small bench to watch them together … and just the living room has a large TV screen and a comfortable sofa, but I don't want to spend an extra 200 yuan per year to open the TV channel of radio and television.
Preface Learning Purpose: MediatR is What? why did he use MediatR? how do i use MediatR? MediatR is What? MediatR official website: https://github.com/jbogard/MediatR. Official Introduction: Simple mediator implementation in .NET What is "mediator/ Mediator Mode"? PS: In fact, I learned from 23 design patterns before and almost forgot them when I used less.Similar problems encountered in the past were basically solved by Observer pattern (especially after ReactiveX appeared), and this
PyTorch structure introduction A superficial understanding of PyTorch architecture cannot guarantee complete correctness, but I hope I can have an overall grasp of PyTorch from a higher level.Level is limited, if there is any mistake, please refer to the wrong, thank you!
Several Important Types Numerically Related Tensor Variable Parameter buffer (this cannot be called a type, in fact it is used to save tensor) Tensor:The calculation in PyTorch is basically based on Tensor, which can be said to be the basic calculation unit in PyTorch.