From 4e42d0aa522b7bcbee0c4d87a2bc58fed4543575 Mon Sep 17 00:00:00 2001 From: zhaochunliang Date: Tue, 29 Nov 2016 16:28:54 +0800 Subject: [PATCH 01/15] add python utils --- .gitignore | 8 + agrith_util/.idea/AgriUtil.iml | 8 + agrith_util/.idea/encodings.xml | 6 + agrith_util/.idea/misc.xml | 17 + agrith_util/.idea/modules.xml | 8 + agrith_util/.idea/workspace.xml | 44 + agrith_util/TextGrocery/__init__.py | 45 + .../sample/converter/class_map.config.pickle | 1 + .../sample/converter/feat_gen.config.pickle | 6 + .../sample/converter/text_prep.config.pickle | Bin 0 -> 537 bytes agrith_util/TextGrocery/sample/id | 1 + .../TextGrocery/sample/learner/idf.pickle | 1 + .../sample/learner/liblinear_model | 95 + .../TextGrocery/sample/learner/options.pickle | Bin 0 -> 16 bytes agrith_util/bag/bag.py | 44 + agrith_util/bayes/bayes_weather.py | 92 + agrith_util/bitmap/Bitmap_main.py | 19 + agrith_util/bitmap/Bitmap_v1.py | 16 + agrith_util/bitmap/Bitmap_v2.py | 79 + 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create mode 100644 verify_code/zlib-1.2.8/zutil.c create mode 100644 verify_code/zlib-1.2.8/zutil.h create mode 100644 verify_code/zlib-1.2.8/zutil.lo create mode 100644 verify_code/zlib-1.2.8/zutil.o diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..911f902 --- /dev/null +++ b/.gitignore @@ -0,0 +1,8 @@ +*.pyc +*.log +*.out +*.svn +*.cache +t1 +con_sock_log +.DS_Store diff --git a/agrith_util/.idea/AgriUtil.iml b/agrith_util/.idea/AgriUtil.iml new file mode 100644 index 0000000..e123bc6 --- /dev/null +++ b/agrith_util/.idea/AgriUtil.iml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/agrith_util/.idea/encodings.xml b/agrith_util/.idea/encodings.xml new file mode 100644 index 0000000..97626ba --- /dev/null +++ b/agrith_util/.idea/encodings.xml @@ -0,0 +1,6 @@ + + + + + + \ No newline at end of file diff --git a/agrith_util/.idea/misc.xml b/agrith_util/.idea/misc.xml new file mode 100644 index 0000000..7dfdd5c --- /dev/null +++ b/agrith_util/.idea/misc.xml @@ -0,0 +1,17 @@ + + + + + + + + + + + + + + + + + \ No newline at end of file diff --git a/agrith_util/.idea/modules.xml b/agrith_util/.idea/modules.xml new file mode 100644 index 0000000..c870cc4 --- /dev/null +++ b/agrith_util/.idea/modules.xml @@ -0,0 +1,8 @@ + + + + + + + + \ No newline at end of file diff --git a/agrith_util/.idea/workspace.xml b/agrith_util/.idea/workspace.xml new file mode 100644 index 0000000..c2e0d20 --- /dev/null +++ b/agrith_util/.idea/workspace.xml @@ -0,0 +1,44 @@ + + + + + + + + + + + + + + + + + + + + + + + + + 1449489501342 + + + + + + + + + + \ No newline at end of file diff --git a/agrith_util/TextGrocery/__init__.py b/agrith_util/TextGrocery/__init__.py new file mode 100644 index 0000000..446a6d7 --- /dev/null +++ b/agrith_util/TextGrocery/__init__.py @@ -0,0 +1,45 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- + +# pip install tgrocery +# http://www.tuicool.com/articles/QFb6BzV +from tgrocery import Grocery +grocery = Grocery( 'sample' ) + +train_src = [ +( 'education' , '名师指导托福语法技巧：名词的复数形式' ), +( 'education' , '中国高考成绩海外认可 是“狼来了”吗？' ), +( 'sports' , '图文：法网孟菲尔斯苦战进16强 孟菲尔斯怒吼' ), +( 'sports' , '四川丹棱举行全国长距登山挑战赛 近万人参与' ) +] + + +#用文件传入 +grocery.train(train_src) +#grocery.train( 'train_ch.txt' ) + +# 保存模型 +grocery.save() + +# 加载模型（名字和保存的一样） +new_grocery = Grocery( 'sample' ) +new_grocery.load() +# 预测 +print new_grocery.predict( '考生必读：新托福写作考试评分标准' ) + +#-------------test用文件传入 + +test_src = [ + +( 'education' , '福建春季公务员考试报名18日截止 2月6日考试' ), + +( 'sports' , '意甲首轮补赛交战记录:米兰客场8战不败国米10年连胜' ), + +] +# 准确率 +print new_grocery.test(test_src) +# 用文本传入 +#new_grocery.test( 'test_ch.txt' ) + +#自定义分词器 +#custom_grocery = Grocery( 'custom' , custom_tokenize=list) \ No newline at end of file diff --git a/agrith_util/TextGrocery/sample/converter/class_map.config.pickle b/agrith_util/TextGrocery/sample/converter/class_map.config.pickle new file mode 100644 index 0000000..bf5c003 --- /dev/null +++ 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b/agrith_util/TextGrocery/sample/learner/options.pickle new file mode 100644 index 0000000000000000000000000000000000000000..bafe98467168c521de7e095fd1f9ecdb748c85db GIT binary patch literal 16 XcmZo*3S|go(JfXmDP(LbWYPlwAAJM9 literal 0 HcmV?d00001 diff --git a/agrith_util/bag/bag.py b/agrith_util/bag/bag.py new file mode 100644 index 0000000..9edb7f9 --- /dev/null +++ b/agrith_util/bag/bag.py @@ -0,0 +1,44 @@ +#!/usr/bin/env python +# coding=utf-8 +from pdb import * + +#n=5是物品的数量 +#c=10是书包能承受的重量 +#w=[2,2,6,5,4]是每个物品的重量 +#v=[6,3,5,4,6]是每个物品的价值 + +def bag(n,c,w,v): + res=[[-1 for j in range(c+1)] for i in range(n+1)] + print res + for j in range(c+1): + res[0][j]=0 + print res + for i in range(1,n+1): + for j in range(1,c+1): + res[i][j]=res[i-1][j] + if j>=w[i-1] and res[i][j]res[i-1][j]: + x[i-1]=True + j-=w[i-1] + print('选择的物品为:') + for i in range(n): + if x[i]: + print '第',i,'个,',x[i] + print('') + +if __name__=='__main__': + n=5 + c=10 + w=[2,2,6,5,4] + v=[6,3,5,4,6] + res=bag(n,c,w,v) + show(n,c,w,res) + diff --git a/agrith_util/bayes/bayes_weather.py b/agrith_util/bayes/bayes_weather.py new file mode 100644 index 0000000..ea39f27 --- /dev/null +++ b/agrith_util/bayes/bayes_weather.py @@ -0,0 +1,92 @@ +#!/usr/bin/env python +# coding=utf-8 +from pdb import * + +def load_data(): + #Outlook-Temperature-Humidity-Wind-status + l = [('Sunny','Hot','High','Weak','No'), + ('Sunny','Hot','High','Strong','No'), + ('Overcast','Hot','High','Weak','Yes'), + ('Rain','Mild','High','Weak','Yes'), + ('Rain','Cool','Normal','Weak','Yes'), + ('Rain','Cool','Normal','Strong','No'), + ('Overcast','Cool','Normal','Strong','Yes'), + ('Sunny','Mild','High','Weak','No'), + ('Sunny','Cool','Normal','Weak','Yes'), + ('Rain','Mild','Normal','Weak','Yes'), + ('Sunny','Mild','Normal','Strong','Yes'), + ('Overcast','Mild','High','Strong','Yes'), + ('Overcast','Hot','Normal','Weak','Yes'), + ('Rain','Mild','High','Strong','No')] + + return l +def update_data_count(data_count,i,k,type): + data = data_count[i] + if data.has_key(type): + d = data[type] + if not d.has_key(k): + d[k] = 1 + else: + d[k]+=1 + data[type]=d + else: + data[type] = {k:1} + data_count[i] = data + return data_count + +def process(): + data_count = [] + for i in range(4): + data_count.append({}) + result = load_data() + status_count = {} + status_total = 0 + for index,r in enumerate(list(result)): + + Outlook = r[0] + Temperature = r[1] + Humidity = r[2] + Wind = r[3] + status = r[4] + #print status + if not status_count.has_key(status): + status_count[status] =1 + else: + status_count[status] +=1 + #set_trace() + for i in range(4): + update_data_count(data_count,i,r[i],status) + status_total+=1 + status_percent = {} + for status,count in status_count.iteritems(): + status_percent[status] = float(count)/float(status_total) + print status_percent + + data_percent_list =[] + for item in data_count: + data_percent_obj = {} + for status,type_count_dict in item.iteritems(): + data_percent_obj_status = {} + for type,count in type_count_dict.iteritems(): + data_percent_obj_status[type] = float(count)/float(status_count[status]) + data_percent_obj[status] = data_percent_obj_status + data_percent_list.append(data_percent_obj) + + print data_percent_list + #return data_percent_list,status_percent + case = ('Sunny','Cool','High','Strong') + print case + case_status_percent_dict ={} + for status,percent in status_percent.iteritems(): + case_status_percent = percent + #set_trace() + for i,type in enumerate(case): + data_obj = data_percent_list[i] + type_obj = data_obj[status] + case_status_percent *= type_obj[type] + case_status_percent_dict[status] = case_status_percent + + print case_status_percent_dict +if __name__=='__main__': + t = process() + print t diff --git a/agrith_util/bitmap/Bitmap_main.py b/agrith_util/bitmap/Bitmap_main.py new file mode 100644 index 0000000..b3fc5c5 --- /dev/null +++ b/agrith_util/bitmap/Bitmap_main.py @@ -0,0 +1,19 @@ +#!/usr/bin/env python +#coding: utf8 + +from Bitmap_v2 import * +#import Bitmap_v2 +if __name__ == '__main__': + MAX = 879 + suffle_array = [45, 2, 78, 35, 67, 90, 879, 0, 340, 123, 46] + result = [] + bitmap = Bitmap(MAX) + for num in suffle_array: + bitmap.set(num) + + for i in range(MAX + 1): + if bitmap.test(i): + result.append(i) + + print '原始数组为: %s' % suffle_array + print '排序后的数组为: %s' % result \ No newline at end of file diff --git a/agrith_util/bitmap/Bitmap_v1.py b/agrith_util/bitmap/Bitmap_v1.py new file mode 100644 index 0000000..552b0cd --- /dev/null +++ b/agrith_util/bitmap/Bitmap_v1.py @@ -0,0 +1,16 @@ +#!/usr/bin/env python +#coding: utf8 + + +#http://my.oschina.net/goal/blog/200347 + +class Bitmap(object): + def __init__(self, max): + self.size = int((max + 31 - 1) / 31) #向上取整 + +''' +首先需要初始化bitmap。拿90这个整数来说，因为单个整型只能使用31位，所以90除以31并向上取整则可得知需要几个数组元素 +''' +if __name__ == '__main__': + bitmap = Bitmap(90) + print "需要 %d 个元素。" % bitmap.size diff --git a/agrith_util/bitmap/Bitmap_v2.py b/agrith_util/bitmap/Bitmap_v2.py new file mode 100644 index 0000000..3a56646 --- /dev/null +++ b/agrith_util/bitmap/Bitmap_v2.py @@ -0,0 +1,79 @@ +#!/usr/bin/env python +#coding: utf8 + + +#http://my.oschina.net/goal/blog/200347 + +class Bitmap(object): + def __init__(self, max): + self.size = self.calcElemIndex(max, True) + self.array = [0 for i in range(self.size)] + + ''' + 计算在数组中的索引 + ''' + def calcElemIndex(self, num, up=False): + '''up为True则为向上取整, 否则为向下取整''' + if up: + return int((num + 31 - 1) / 31) #向上取整 + return num / 31 + ''' + 计算在数组元素中的位索引 + ''' + def calcBitIndex(self, num): + return num % 31 + ''' + 二进制位默认是0，将某位置1则表示在此位存储了数据 + ''' + def set(self, num): + elemIndex = self.calcElemIndex(num) + byteIndex = self.calcBitIndex(num) + elem = self.array[elemIndex] + print 'elem:'+str(elem)+',byteIndex:'+str(byteIndex)+',elemIndex:'+str(elemIndex) + self.array[elemIndex] = elem | (1 << byteIndex) + ''' + 将某位置0，也即丢弃已存储的数据 + ''' + def clean(self, i): + elemIndex = self.calcElemIndex(i) + byteIndex = self.calcBitIndex(i) + elem = self.array[elemIndex] + self.array[elemIndex] = elem & (~(1 << byteIndex)) + ''' + 判断某位是否为1是为了取出之前所存储的数据 + ''' + def test(self, i): + elemIndex = self.calcElemIndex(i) + byteIndex = self.calcBitIndex(i) + if self.array[elemIndex] & (1 << byteIndex): + return True + return False +if __name__ == '__main__': + #10亿 + #bitmap = Bitmap(1000*1000*1000) + #print '数组需要 %d 个元素。' % bitmap.size + #32258065 + + bitmap = Bitmap(90) + print '数组需要 %d 个元素。' % bitmap.size + print '47 应存储在第 %d 个数组元素上。' % bitmap.calcElemIndex(47) + print '47 应存储在第 %d 个数组元素的第 %d 位上。' % (bitmap.calcElemIndex(47), bitmap.calcBitIndex(47),) + + #--test clean-- + bitmap.set(0) + bitmap.set(34) + print bitmap.array + bitmap.clean(0) + print bitmap.array + bitmap.clean(34) + print bitmap.array + + #---test-set-- + bitmap.set(2) + for b in bitmap.array: + print bin(b)[2:] + #--test-test-- + bitmap.set(1) + print bitmap.test(1) + bitmap.clean(1) + print bitmap.test(1) \ No newline at end of file diff --git a/agrith_util/bitmap/__init__.py b/agrith_util/bitmap/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/agrith_util/cf_util/__init__.py b/agrith_util/cf_util/__init__.py new file mode 100644 index 0000000..27ac2a4 --- /dev/null +++ b/agrith_util/cf_util/__init__.py @@ -0,0 +1,45 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- +from math import * + +""" +计算两个dict 向量的余弦相似度 +cosine(a,b) = a*b / |a|*|b| =x / y +demo: +d1 = {'A':1,'B':2} +d2 = {'B':2,'C':1} +sim = calcCosine(d1,d2) ##0.8 +""" +def calcCosine(dict1,dict2): + + x=0.0 + y=0.0 + y1=0.0 + y2=0.0 + for k1,v1 in dict1.viewitems(): + y1 += pow(v1,2) + print '--',k1,v1,y1 + for k2,v2 in dict2.viewitems(): + y2 += pow(v2,2) + + for k2,v2 in dict2.viewitems(): + print '==',k2,v2,y2 + # a1*b1+a2*b2.. 自动补全计算集合 + if dict1.has_key(k2): + x+= v2* dict1[k2] + print '**',x,y1,y2 + y = sqrt(y1) * sqrt(y2) + return x/y + +if __name__ == '__main__': + #sim = 2/sqrt(4) + #print 'hello',sim + + d1 = {'A':1,'B':2} + d2 = {'B':2,'C':1} + c1 = {12994L: 0, 10436L: 0, 14471L: 5, 15080L: 0, 10538L: 0, 14220L: 0, 14933L: 0, 10553L: 0, 12506L: 0} + c2= {7808L: 5, 4980L: 0, 10964L: 5} + sim = calcCosine(d1,d2) ##0.894427191 + print sim + sim = calcCosine(c1,c2) ##0.894427191 + print sim \ No newline at end of file diff --git a/agrith_util/demo.py b/agrith_util/demo.py new file mode 100644 index 0000000..65f3e75 --- /dev/null +++ b/agrith_util/demo.py @@ -0,0 +1,72 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- + +""" +测试python 引用传递 +""" +def add(d,k,v): + if not d.has_key(k): + d[k] =v + return d + +#{'a':{'a1':1,'b1':2}} +def create_hash_hash_isreplace(h,okey,ikey,val,isreplace=True): + if not h.has_key(okey): + _hashObj = {} + _hashObj[ikey] = val + h[okey] = _hashObj + else: + _hashObj = h[okey] + if not _hashObj.has_key(ikey): + _hashObj[ikey] = val + else: + if isreplace: + _hashObj[ikey] = val + return h +def search_hash_hash(h,okey,ikey=None): + result = None + if not ikey: + if h.has_key(okey): + _obj = h[okey] + result = _obj + else: + if h.has_key(okey): + _obj = h[okey] + if _obj.has_key(ikey): + result = _obj[ikey] + return result + +if __name__=='__main__': + d={'a':1,'b':2} + d2={} + d2['d'] =d + # {'d': {'a': 1, 'b': 2}} + print d2 + print d2['d'] + for k,v in d.iteritems(): + print "k=%s,v=%s" %(k,v) +#------------------ + d= {} + add(d,'a','1') + add(d,'b',2) + # {'a': '1', 'b': 2} + print d +#------------------- + h = {} + h = create_hash_hash_isreplace(h,'a','a1',10) + h = create_hash_hash_isreplace(h,'a','a2',20) + h = create_hash_hash_isreplace(h,'a','a2',30,False) #replace + h = create_hash_hash_isreplace(h,'b','b1',5) + print h + print 'demo main' + r1 = search_hash_hash(h,'a') + print r1 + r2=search_hash_hash(h,'a','a1') + print r2 + +#===== +u = [] +u.append('1') +u.append('1') +print u +print list(set(u)) \ No newline at end of file diff --git a/agrith_util/graph/Graph.py b/agrith_util/graph/Graph.py new file mode 100644 index 0000000..0f4ce2b --- /dev/null +++ b/agrith_util/graph/Graph.py @@ -0,0 +1,72 @@ +#!/usr/bin/python +# -*- coding: utf-8 -*- +class Graph(object): + def __init__(self,*args,**kwargs): + self.node_neighbors = {} + self.visited = {} + def add_nodes(self,nodelist): + for node in nodelist: + self.add_node(node) + def add_node(self,node): + if not node in self.nodes(): + self.node_neighbors[node] = [] + def add_edge(self,edge): + u,v = edge + if(v not in self.node_neighbors[u]) and ( u not in self.node_neighbors[v]): + self.node_neighbors[u].append(v) + if(u!=v): + self.node_neighbors[v].append(u) + def nodes(self): + return self.node_neighbors.keys() + def depth_first_search(self,root=None): + order = [] + def dfs(node): + self.visited[node] = True + order.append(node) + for n in self.node_neighbors[node]: + if not n in self.visited: + dfs(n) + if root: + dfs(root) + for node in self.nodes(): + if not node in self.visited: + dfs(node) + print order + return order + def breadth_first_search(self,root=None): + queue = [] + order = [] + def bfs(): + while len(queue)> 0: + node = queue.pop(0) + self.visited[node] = True + for n in self.node_neighbors[node]: + if (not n in self.visited) and (not n in queue): + queue.append(n) + order.append(n) + if root: + queue.append(root) + order.append(root) + bfs() + for node in self.nodes(): + if not node in self.visited: + queue.append(node) + order.append(node) + bfs() + print order + return order +if __name__ == '__main__': + g = Graph() +g.add_nodes([i+1 for i in range(8)]) +g.add_edge((1, 2)) +g.add_edge((1, 3)) +g.add_edge((2, 4)) +g.add_edge((2, 5)) +g.add_edge((4, 8)) +g.add_edge((5, 8)) +g.add_edge((3, 6)) +g.add_edge((3, 7)) +g.add_edge((6, 7)) +print "nodes:", g.nodes() +order = g.breadth_first_search(1) +order = g.depth_first_search(1) diff --git a/agrith_util/graph/__init__.py b/agrith_util/graph/__init__.py new file mode 100644 index 0000000..e69de29 diff --git a/agrith_util/graph/g.py b/agrith_util/graph/g.py new file mode 100644 index 0000000..1f41359 --- /dev/null +++ b/agrith_util/graph/g.py @@ -0,0 +1,340 @@ +#!/usr/bin/env python +# coding=utf-8 +import pygraphviz as pgv +from pdb import * +gdata = [ + ['A', '->', 'B',1], + ['A', '->', 'C',1], + ['B', '->', 'C',1], + ['B', '->', 'D',1], + ['C', '->', 'D',1], + ['D', '->', '',1], +] + +graph = { + 'A': ['B', 'C'], + 'B': ['C', 'D'], + 'C': ['D'], + 'D':[] +} +def gen_edge_relations(graph): + graph_edge = {} + for node,neighbour_list in graph.iteritems(): + node_relations = {} + for nb in neighbour_list: + node_relations[nb] = 1 + #print node,neighbour_list,node_relations + + if not graph_edge.has_key(node): + graph_edge[node] = node_relations + return graph_edge +def check_is_edge(graph_edge,_from,_to): + is_edge = False + if len(graph_edge)>0: + if graph_edge.has_key(_from): + node_relations = graph_edge[_from] + if node_relations.has_key(_to): + is_edge = True + return is_edge + +def width_order_graph(graph): + graph_edge = gen_edge_relations(graph) + def BFS(node): + print(node) + visited[node] = 1 + for _node,_node_relations in graph.iteritems(): + if check_is_edge(graph_edge,node,_node) and not visited.has_key(_node): + BFS(_node) + + visited = {} + #set_trace() + for node,node_relations in graph.iteritems(): + + if not visited.has_key(node): + print 'start BFS:',node + BFS(node) + print visited + + +def depth_order_graph(graph): + graph_edge = gen_edge_relations(graph) + def DFS(node,queue): + + queue.append(node) + print(node) + visited[node] = 1 + if len(queue) != 0: + q_node = queue.pop() + for _node,_node_relations in graph.iteritems(): + if check_is_edge(graph_edge,q_node,_node) and not visited.has_key(_node): + DFS(_node, queue) + + visited = {} + queue = [] + for node,node_relations in graph.iteritems(): + if not visited.has_key(node): + DFS(node,queue) + +def build_graph(data): + graph = {} + for r in gdata: + _from = r[0] + to = r[2] + status = r[3] + if status!=1: + continue + if _from=='D': + set_trace() + if not graph.has_key(_from): + graph[_from] = [to] + else: + graph[_from].append(to) + return graph + + +def add_node(graph,_from,to): + #set_trace() + if len(graph)>0: + if not graph.has_key(_from): + graph[_from] = [to] + else: + graph[_from].append(to) + #fix add leaf node + if not graph.has_key(to): + graph[to] = [] + else: + graph[_from] =[to] + return graph + + + +def del_node(graph,_from,to): + if len(graph)>0: + #del edge + if graph.has_key(_from): + graph[_from].remove(to) + #del to -if leaf + if graph.has_key(to): + t = graph[to] + if len(t)==0: + graph.pop(to) + return graph + +def find_path(graph, start, end, path=[]): + path = path + [start] + if start == end: + return path + if not graph.has_key(start): + return None + for node in graph[start]: + if node not in path: + newpath = find_path(graph, node, end, path) + if newpath: + return newpath + return None + +def find_path2 (graph, start, end, path=[]): + _path = path + [start] + if start == end: + return path + if not graph.has_key(start): + return None + for node in graph[start]: + if node not in _path: + newpath = find_path(graph, node, end, _path) + if newpath: + return newpath + return None + +def find_all_paths(graph, start, end, path=[]): + path = path + [start] + if start == end: + return [path] + if not graph.has_key(start): + return [] + paths = [] + for node in graph[start]: + if node not in path: + newpaths = find_all_paths(graph, node, end, path) + for newpath in newpaths: + paths.append(newpath) + return paths +""" +find from ->to ,[from]->from_list +""" +def find_from_path(graph,to): + path = [] + graph_edge = gen_edge_relations(graph) + for node,node_relations in graph_edge.iteritems(): + if node_relations.has_key(to): + path.append(node) + return path +""" +find x->from ->to ,[from]+[x]->from_list +""" +def find_from_path_all(graph,to,path=[]): + if to not in path: + path = path+[to] + #print path,to in path + graph_edge = gen_edge_relations(graph) + for node,node_relations in graph_edge.iteritems(): + if node_relations.has_key(to): + if not node in path: + path.append(node) + find_from_path_all(graph,node,path) + return path + +""" +find x->from ->to ,[from]+[x]->from_list +""" +def find_from_path_all_depth_order_graph(graph,to): + graph_edge = gen_edge_relations(graph) + def DFS(node,queue): + queue.append(node) + #print(node) + if len(queue) != 0: + q_node = queue.pop() + for _node,_node_relations in graph_edge.iteritems(): + if _node_relations.has_key(q_node) and not visited.has_key(_node): + visited[_node] = 1 + #visited[_node] = 1 + DFS(_node, queue) + + visited = {} + queue = [] + node = to + DFS(node,queue) + return visited +""" +find x->from ->to ,[from]+[x]->from_list +""" +def find_to_path_all_depth_order_graph(graph,_from): + def DFS(node,queue): + queue.append(node) + print(node) + visited[node]=1 + if len(queue) != 0: + q_node = queue.pop() + for neighbour in graph[q_node]: + queue.append(neighbour) + #if graph.has_key(neighbour) and not visited.has_key(neighbour): + if graph.has_key(neighbour): + DFS(neighbour,queue) + + visited = {} + queue = [] + node = _from + DFS(node,queue) + return visited + +def find_shortest_path(graph, start, end, path=[]): + path = path + [start] + if start == end: + return path + if not graph.has_key(start): + return None + shortest = None + for node in graph[start]: + if node not in path: + newpath = find_shortest_path(graph, node, end, path) + if newpath: + if not shortest or len(newpath) < len(shortest): + shortest = newpath + return shortest + +def gen_graph_png(graph,file_name): + A=pgv.AGraph(directed=True,strict=True) + for node,node_relations_list in graph.iteritems(): + for neighbour in node_relations_list: + A.add_edge(node,neighbour) + + A.graph_attr['epsilon']='0.001' + print A.string() # print dot file to standard output + A.write(file_name+'.dot') + A.layout('dot') # layout with dot + A.draw(file_name+'.png') # write to file + print 'success' +def graph_tree_test(): + A=pgv.AGraph(directed=True,strict=True) + A.add_edge(1,2) + A.add_edge(1,3) + A.add_edge(2,4) + A.add_edge(2,5) + A.add_edge(5,6) + A.add_edge(5,7) + A.add_edge(3,8) + A.add_edge(3,9) + A.add_edge(8,10) + A.add_edge(8,11) + A.graph_attr['epsilon']='0.001' + print A.string() # print dot file to standard output + A.write('tree.dot') + A.layout('dot') # layout with dot + A.draw('tree.png') # write to file + print 'success' + +def test_find(graph): + print '--find A-E one path--' + t= find_path(graph, 'A', 'E') + print t + t= find_path2(graph, 'A', 'E') + print t + print '--find A-E all paths-' + t = find_all_paths(graph, 'A', 'E') + print t + print '--find A-E short path-' + t= find_shortest_path(graph, 'A', 'E') + print t +def test_find_from_path(graph): + print '--find from node directly--' + t=find_from_path(graph,'D') + print t + print '--find_from_path_all--' + t = find_from_path_all(graph,'D') + print t + + t = find_from_path_all_depth_order_graph(graph,'D') + print t + t = find_to_path_all_depth_order_graph(graph,'A') + print t + print graph +def test_update(graph): + graph = add_node(graph,'D','E') + print graph + """ + {'A': ['B', 'C'], 'C': ['D'], 'B': ['C', 'D'], 'D': ['E']} + """ + print '--add_node-E-F-' + graph = add_node(graph,'E','F') + print '--del_node leaf-E-F' + del_node(graph,'E','F') + print graph + + print '--del_node leaf-C-D' + del_node(graph,'C','D') + print graph + + print '--del_node leaf-B-D' + del_node(graph,'B','D') + print graph + depth_order_graph(graph) +def test_order(graph): + print '--width_order_graph--' + width_order_graph(graph) + print '--depth_order_graph--' + depth_order_graph(graph) +def test_utils(graph): + g = build_graph(gdata) + print g + print '--gen all graph_edge relations-' + graph_edge = gen_edge_relations(graph) + print graph_edge + print '--check_is_edge--' + t= check_is_edge(graph_edge,'A','B') + print t + +if __name__=='__main__': + + #test_find_from_path(graph) + #graph_tree_test() + gen_graph_png(graph,'test') diff --git a/agrith_util/graph/g2.py b/agrith_util/graph/g2.py new file mode 100644 index 0000000..1382f2f --- /dev/null +++ b/agrith_util/graph/g2.py @@ -0,0 +1,112 @@ +#!/usr/bin/env python +# coding=utf-8 +#邻接矩阵结构：(www.169it.com) +# map[][] = { +# -1,1,0,0,1,0,0,0 +# 0,-1,0,0,0,0,0,0 +# 0,0,-1,0,0,0,0,0 +# 0,0,0,-1,0,0,0,0 +# 0,0,0,0,-1,0,0,0 +# 0,0,0,0,0,-1,0,0 +# 0,0,0,0,0,0,-1,0 +# 0,0,0,0,0,0,0,-1 +# } + +class Graph: + def __init__(self, maps = [], nodenum = 0, edgenum = 0): + self.map = maps #图的矩阵结构 + self.nodenum = len(maps) + self.edgenum = edgenum + # self.nodenum = GetNodenum()#节点数 + # self.edgenum = GetEdgenum()#边数 + def isOutRange(self, x): + try : + if x >= self.nodenum or x <= 0: + raise IndexError + except IndexError: + print("节点下标出界") + + def GetNodenum(self): + self.nodenum = len(self.map) + return self.nodenum + def GetEdgenum(self): + GetNodenum() + self.edgenum = 0 + for i in range(self.nodenum): + for j in range(self.nodenum): + if self.map[i][j] is 1: + self.edgenum = self.edgenum + 1 + return self.edgenum + + def InsertNode(self): + for i in range(self.nodenum): + self.map[i].append(0) + self.nodenum = self.nodenum + 1 + ls = [0] * self.nodenum + self.map.append(ls) + #假删除，只是归零而已 + def DeleteNode(self, x): + for i in range(self.nodenum): + if self.map[i][x] is 1: + self.map[i][x] = 0 + self.edgenum = self.edgenum -1 + if self.map[x][i] is 1: + self.map[x][i] = 0 + self.edgenum = self.edgenum - 1 + + def AddEdge(self, x, y): + if self.map[x][y] is 0: + self.map[x][y] = 1 + self.edgenum = self.edgenum + 1 + + def RemoveEdge(self, x, y): + if self.map[x][y] is 0: + self.map[x][y] = 1 + self.edgenum = self.edgenum + 1 + + def BreadthFirstSearch(self): + def BFS(self, i): + print(i) + visited[i] = 1 + for k in range(self.nodenum): + if self.map[i][k] == 1 and visited[k] == 0: + BFS(self, k) + + visited = [0] * self.nodenum + for i in range(self.nodenum): + if visited[i] is 0: + BFS(self, i) + + def DepthFirstSearch(self): + def DFS(self, i, queue): + + queue.append(i) + print(i) + visited[i] = 1 + if len(queue) != 0: + w = queue.pop() + for k in range(self.nodenum): + if self.map[w][k] is 1 and visited[k] is 0: + DFS(self, k, queue) + + visited = [0] * self.nodenum + queue = [] + for i in range(self.nodenum): + if visited[i] is 0: + DFS(self, i, queue) +def DoTest(): + maps = [ + [-1, 1, 0, 0], + [0, -1, 0, 0], + [0, 0, -1, 1], + [1, 0, 0, -1]] + G = Graph(maps) + G.InsertNode() + G.AddEdge(1, 4) + print("广度优先遍历") + G.BreadthFirstSearch() + print("深度优先遍历") + G.DepthFirstSearch() + +if __name__ == '__main__': + DoTest() diff --git a/agrith_util/graph/graph_util.py b/agrith_util/graph/graph_util.py new file mode 100644 index 0000000..f54a5a5 --- /dev/null +++ b/agrith_util/graph/graph_util.py @@ -0,0 +1,358 @@ +#!/usr/bin/env python +# coding=utf-8 +import pygraphviz as pgv +from pdb import * +gdata = [ + ['A', '->', 'B',1], + ['A', '->', 'C',1], + ['B', '->', 'C',1], + ['B', '->', 'D',1], + ['C', '->', 'D',1], + ['D', '->', '',1], +] + +graph = { + 'A': ['B', 'C'], + 'B': ['C', 'D'], + 'C': ['D'], + 'D':[] +} +def gen_edge_relations(graph): + graph_edge = {} + for node,neighbour_list in graph.iteritems(): + node_relations = {} + for nb in neighbour_list: + node_relations[nb] = 1 + #print node,neighbour_list,node_relations + + if not graph_edge.has_key(node): + graph_edge[node] = node_relations + return graph_edge +def check_is_edge(graph_edge,_from,_to): + is_edge = False + if len(graph_edge)>0: + if graph_edge.has_key(_from): + node_relations = graph_edge[_from] + if node_relations.has_key(_to): + is_edge = True + return is_edge + +def width_order_graph(graph): + graph_edge = gen_edge_relations(graph) + def BFS(node): + print(node) + visited[node] = 1 + for _node,_node_relations in graph.iteritems(): + if check_is_edge(graph_edge,node,_node) and not visited.has_key(_node): + BFS(_node) + + visited = {} + #set_trace() + for node,node_relations in graph.iteritems(): + + if not visited.has_key(node): + print 'start BFS:',node + BFS(node) + print visited + + +def depth_order_graph(graph): + graph_edge = gen_edge_relations(graph) + def DFS(node,queue): + + queue.append(node) + print(node) + visited[node] = 1 + if len(queue) != 0: + q_node = queue.pop() + for _node,_node_relations in graph.iteritems(): + if check_is_edge(graph_edge,q_node,_node) and not visited.has_key(_node): + DFS(_node, queue) + + visited = {} + queue = [] + for node,node_relations in graph.iteritems(): + if not visited.has_key(node): + DFS(node,queue) + +def build_graph(data): + graph = {} + for r in gdata: + _from = r[0] + to = r[2] + status = r[3] + if status!=1: + continue + if _from=='D': + set_trace() + if not graph.has_key(_from): + graph[_from] = [to] + else: + graph[_from].append(to) + return graph + + +def add_node(graph,_from,to): + #set_trace() + if len(graph)>0: + if not graph.has_key(_from): + graph[_from] = [to] + else: + graph[_from].append(to) + #fix add leaf node + if not graph.has_key(to): + graph[to] = [] + else: + graph[_from] =[to] + return graph + +#add_nodes graph[node[i]] = [] +def add_nodes(graph,node_list): + for node in node_list: + graph[node] = [] + return graph + +def get_nodes(graph): + return graph.keys() + + +def del_node(graph,_from,to): + if len(graph)>0: + #del edge + if graph.has_key(_from): + graph[_from].remove(to) + #del to -if leaf + if graph.has_key(to): + t = graph[to] + if len(t)==0: + graph.pop(to) + return graph + +def find_path(graph, start, end, path=[]): + path = path + [start] + if start == end: + return path + if not graph.has_key(start): + return None + for node in graph[start]: + if node not in path: + newpath = find_path(graph, node, end, path) + if newpath: + return newpath + return None + +def find_path2 (graph, start, end, path=[]): + _path = path + [start] + if start == end: + return path + if not graph.has_key(start): + return None + for node in graph[start]: + if node not in _path: + newpath = find_path(graph, node, end, _path) + if newpath: + return newpath + return None + +def find_all_paths(graph, start, end, path=[]): + path = path + [start] + if start == end: + return [path] + if not graph.has_key(start): + return [] + paths = [] + for node in graph[start]: + if node not in path: + newpaths = find_all_paths(graph, node, end, path) + for newpath in newpaths: + paths.append(newpath) + return paths +""" +find from ->to ,[from]->from_list +""" +def find_from_path(graph,to): + path = [] + graph_edge = gen_edge_relations(graph) + for node,node_relations in graph_edge.iteritems(): + if node_relations.has_key(to): + path.append(node) + return path +""" +find x->from ->to ,[from]+[x]->from_list +""" +def find_from_path_all(graph,to,path=[]): + if to not in path: + path = path+[to] + #print path,to in path + graph_edge = gen_edge_relations(graph) + for node,node_relations in graph_edge.iteritems(): + if node_relations.has_key(to): + if not node in path: + path.append(node) + find_from_path_all(graph,node,path) + return path + +""" +find x->from ->to ,[from]+[x]->from_list +""" +def find_from_path_all_depth_order_graph(graph,to): + graph_edge = gen_edge_relations(graph) + def DFS(node,queue): + queue.append(node) + #print(node) + if len(queue) != 0: + q_node = queue.pop() + for _node,_node_relations in graph_edge.iteritems(): + if _node_relations.has_key(q_node) and not visited.has_key(_node): + visited[_node] = 1 + #visited[_node] = 1 + DFS(_node, queue) + + visited = {} + queue = [] + node = to + DFS(node,queue) + return visited +""" +find x->from ->to ,[from]+[x]->from_list +""" +def find_to_path_all_depth_order_graph(graph,_from): + def DFS(node,queue): + queue.append(node) + print(node) + visited[node]=1 + if len(queue) != 0: + q_node = queue.pop() + for neighbour in graph[q_node]: + queue.append(neighbour) + #if graph.has_key(neighbour) and not visited.has_key(neighbour): + if graph.has_key(neighbour): + DFS(neighbour,queue) + + visited = {} + queue = [] + node = _from + DFS(node,queue) + return visited + +def find_shortest_path(graph, start, end, path=[]): + path = path + [start] + if start == end: + return path + if not graph.has_key(start): + return None + shortest = None + for node in graph[start]: + if node not in path: + newpath = find_shortest_path(graph, node, end, path) + if newpath: + if not shortest or len(newpath) < len(shortest): + shortest = newpath + return shortest + +def gen_graph_png(graph,file_name,show=True): + A=pgv.AGraph(directed=True,strict=True) + for node,node_relations_list in graph.iteritems(): + if len(node_relations_list)>0: + for neighbour in node_relations_list: + A.add_edge(node,neighbour) + else: + A.add_edge(node,'null') + + + A.graph_attr['epsilon']='0.001' + if show: + print A.string() # print dot file to standard output + A.write(file_name+'.dot') + A.layout('dot') # layout with dot + w_file_name='' + if file_name.find('.png')==-1: + w_file_name = file_name+'.png' + else: + w_file_name = file_name + A.draw(w_file_name) # write to file + print 'success' +def graph_tree_test(): + A=pgv.AGraph(directed=True,strict=True) + A.add_edge(1,2) + A.add_edge(1,3) + A.add_edge(2,4) + A.add_edge(2,5) + A.add_edge(5,6) + A.add_edge(5,7) + A.add_edge(3,8) + A.add_edge(3,9) + A.add_edge(8,10) + A.add_edge(8,11) + A.graph_attr['epsilon']='0.001' + print A.string() # print dot file to standard output + A.write('tree.dot') + A.layout('dot') # layout with dot + A.draw('tree.png') # write to file + print 'success' + +def test_find(graph): + print '--find A-E one path--' + t= find_path(graph, 'A', 'E') + print t + t= find_path2(graph, 'A', 'E') + print t + print '--find A-E all paths-' + t = find_all_paths(graph, 'A', 'E') + print t + print '--find A-E short path-' + t= find_shortest_path(graph, 'A', 'E') + print t +def test_find_from_path(graph): + print '--find from node directly of d--' + t=find_from_path(graph,'D') + print t + print '--find_from_path_all of D--' + t = find_from_path_all(graph,'D') + print t + + t = find_from_path_all_depth_order_graph(graph,'D') + print t + t = find_to_path_all_depth_order_graph(graph,'A') + print t + print graph +def test_update(graph): + graph = add_node(graph,'D','E') + print graph + """ + {'A': ['B', 'C'], 'C': ['D'], 'B': ['C', 'D'], 'D': ['E']} + """ + print '--add_node-E-F-' + graph = add_node(graph,'E','F') + print '--del_node leaf-E-F' + del_node(graph,'E','F') + print graph + + print '--del_node leaf-C-D' + del_node(graph,'C','D') + print graph + + print '--del_node leaf-B-D' + del_node(graph,'B','D') + print graph + depth_order_graph(graph) +def test_order(graph): + print '--width_order_graph--' + width_order_graph(graph) + print '--depth_order_graph--' + depth_order_graph(graph) +def test_utils(graph): + g = build_graph(gdata) + print g + print '--gen all graph_edge relations-' + graph_edge = gen_edge_relations(graph) + print graph_edge + print '--check_is_edge--' + t= check_is_edge(graph_edge,'A','B') + print t + +if __name__=='__main__': + + test_find_from_path(graph) + #graph_tree_test() + #gen_graph_png(graph,'test') diff --git a/agrith_util/graph/tag_relationship.py b/agrith_util/graph/tag_relationship.py new file mode 100644 index 0000000..60f9790 --- /dev/null +++ b/agrith_util/graph/tag_relationship.py @@ -0,0 +1,18 @@ +#!/usr/bin/env python +# coding=utf-8 + +rship = [ + # id, from(sid), to(pid) + ['b','a'], + ['c','a'], + ['c','d'], + ['e','c'] +] +def add_data(_from,_to): + rship.append([_from,_to]) + +def search_parent(_id): + pass + +def search_son(_id): + pass diff --git a/agrith_util/graph/test.dot b/agrith_util/graph/test.dot new file mode 100644 index 0000000..0acae44 --- /dev/null +++ b/agrith_util/graph/test.dot @@ -0,0 +1,8 @@ +strict digraph { + graph [epsilon="0.001"]; + A -> B; + A -> C; + B -> D; + B -> C; + C -> D; +} diff --git a/agrith_util/graph/test.png b/agrith_util/graph/test.png new file mode 100644 index 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zJ@|+pJ_f`tAP|91Ubz>-AmJz@C)W)wfqa3X|IZ)t{U}R#6_6Hp1z}N_gL`k{1>-hNiY@M7c;5GoDBbBw`v*WF3Xh-A#?d@A{OU&XhpqR_u zHqSDI7PWQk%*^(G5VBgBR$7Ix321GSwkch&bYRo!;CDqgtnej+P1%$ay{m&Yq*lxb a arg['dst_w']) or (ori_h and ori_h > arg['dst_h']): + if arg['dst_w'] and ori_w > arg['dst_w']: + widthRatio = float(arg['dst_w']) / ori_w #正确获取小数的方式 + if arg['dst_h'] and ori_h > arg['dst_h']: + heightRatio = float(arg['dst_h']) / ori_h + + if widthRatio and heightRatio: + if widthRatio < heightRatio: + ratio = widthRatio + else: + ratio = heightRatio + + if widthRatio and not heightRatio: + ratio = widthRatio + if heightRatio and not widthRatio: + ratio = heightRatio + + newWidth = int(ori_w * ratio) + newHeight = int(ori_h * ratio) + else: + newWidth = ori_w + newHeight = ori_h + + im.resize((newWidth,newHeight),image.ANTIALIAS).save(arg['dst_img'],quality=arg['save_q']) + + ''' + image.ANTIALIAS还有如下值： + NEAREST: use nearest neighbour + BILINEAR: linear interpolation in a 2x2 environment + BICUBIC:cubic spline interpolation in a 4x4 environment + ANTIALIAS:best down-sizing filter + ''' + +#裁剪压缩图片 +def clipResizeImg(**args): + + args_key = {'ori_img':'','dst_img':'','dst_w':'','dst_h':'','save_q':75} + arg = {} + for key in args_key: + if key in args: + arg[key] = args[key] + + im = image.open(arg['ori_img']) + ori_w,ori_h = im.size + + dst_scale = float(arg['dst_h']) / arg['dst_w'] #目标高宽比 + ori_scale = float(ori_h) / ori_w #原高宽比 + + if ori_scale >= dst_scale: + #过高 + width = ori_w + height = int(width*dst_scale) + + x = 0 + y = (ori_h - height) / 3 + + else: + #过宽 + height = ori_h + width = int(height*dst_scale) + + x = (ori_w - width) / 2 + y = 0 + + #裁剪 + box = (x,y,width+x,height+y) + #这里的参数可以这么认为：从某图的(x,y)坐标开始截，截到(width+x,height+y)坐标 + #所包围的图像，crop方法与php中的imagecopy方法大为不一样 + newIm = im.crop(box) + im = None + + #压缩 + ratio = float(arg['dst_w']) / width + newWidth = int(width * ratio) + newHeight = int(height * ratio) + newIm.resize((newWidth,newHeight),image.ANTIALIAS).save(arg['dst_img'],quality=arg['save_q']) + + +#水印(这里仅为图片水印) +def waterMark(**args): + args_key = {'ori_img':'','dst_img':'','mark_img':'','water_opt':''} + arg = {} + for key in args_key: + if key in args: + arg[key] = args[key] + + im = image.open(arg['ori_img']) + ori_w,ori_h = im.size + + mark_im = image.open(arg['mark_img']) + mark_w,mark_h = mark_im.size + option ={'leftup':(0,0),'rightup':(ori_w-mark_w,0),'leftlow':(0,ori_h-mark_h), + 'rightlow':(ori_w-mark_w,ori_h-mark_h) + } + + + im.paste(mark_im,option[arg['water_opt']],mark_im.convert('RGBA')) + im.save(arg['dst_img']) + + + +#Demon +#源图片 +ori_img = 'test.png' +#水印标 +mark_img = 'mark.png' +#水印位置(右下) +water_opt = 'rightlow' +#目标图片 +dst_img = 'small.png' +#目标图片大小 +dst_w = 414 +dst_h = 736 +#保存的图片质量 +save_q = 35 +#裁剪压缩 +clipResizeImg(ori_img=ori_img,dst_img=dst_img,dst_w=dst_w,dst_h=dst_h,save_q = save_q) +#等比例压缩 +#resizeImg(ori_img=ori_img,dst_img=dst_img,dst_w=dst_w,dst_h=dst_h,save_q=save_q) +#水印 +#waterMark(ori_img=ori_img,dst_img=dst_img,mark_img=mark_img,water_opt=water_opt) diff --git a/agrith_util/image_process/small.png b/agrith_util/image_process/small.png new file mode 100644 index 0000000000000000000000000000000000000000..ccd6e72806a275d010191a0cbac26dceba972b86 GIT binary patch literal 120398 zcmV*2KzF~1P)$4|*YtqI^pO9AFMJ@_Bsc>u|Dn;` zUWRCZL-2*Z?m0RjY>MTP^ZC{%j5 zn|+Jwy>gEnIdX*X-M*MvRX=$5{{Q&D|KFR=W`KbbGpiDTnHhkp0sxeV00M}JK!5>& z!oW;`at#PH5GAt+5JA*xg8#G{2;?sq0fsTdm<)_$D!bA|mp)CT3$| zW|$E(0Z`-o159MhV2J;``CTJ|fteMTA5uh^83bY`A_$0xiG=-Cgjm?jKp;yRVG*g( zrnwkh2#Z2v(iADi1Y%PnfSH*|;h&3%*e@dTzw%Ed%)(-39E1>iv)>K^kr9F^4Ed`OEf!tA z%+T+5{|Eo{fBGN)AOBAxl2ZEPZuUR!75@MI0sh~-EUBiH{63o+V1}d$ka%oT({{tN zM-yMKzCsM9FroyQvY9DNfdqg7LxLp*8L1VBldDOoa8RRY+I@~^2X695LOs;YVjKvMI)L_`E_*IfRBssw@= z3}gVedk!E{7|bM*GBJFc0ZEmFjm*@b3L;^KnW`E=KoFR=?`RArFjUpQwZYVqX+%nz 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