commit 0006

darcycool · darcycool · commit 3e244dcd1fd7 · 2017-08-07T14:48:00.000+08:00
diff --git a/darcycool/0006/diary/01.txt b/darcycool/0006/diary/01.txt
@@ -0,0 +1,6 @@
+Our goal is to generate for you a complete and modern Web app or microservice architecture, unifying:
+
+A high-performance and robust Java stack on the server side with Spring Boot
+A sleek, modern, mobile-first front-end with Angular and Bootstrap
+A robust microservice architecture with JHipster Registry, Netflix OSS, ELK stack and Docker
+A powerful workflow to build your application with Yeoman, Webpack/Gulp and Maven/Gradle
diff --git a/darcycool/0006/diary/02.txt b/darcycool/0006/diary/02.txt
@@ -0,0 +1,8 @@
+You can checkout a sample generated AngularJS 1 application here.
+
+You can checkout a sample generated Angular 4 application here.
+
+JHipster is Open Source, and all development is done on GitHub
+
+If you want to code with us, feel free to join!
+If you like the project, please give us a star on GitHub
diff --git a/darcycool/0006/diary/03.txt b/darcycool/0006/diary/03.txt
@@ -0,0 +1,9 @@
+Install JHipster yarn global add generator-jhipster
+
+Create a new directory and go into it mkdir myApp && cd myApp
+
+Run JHipster and follow instructions on screen jhipster
+
+Model your entities with JDL Studio and download the resulting jhipster-jdl.jh file
+
+Generate your entities with jhipster import-jdl jhipster-jdl.jh
diff --git a/darcycool/0006/important_word.py b/darcycool/0006/important_word.py
@@ -0,0 +1,26 @@
+# -*- coding: utf-8 -*-
+# 第 0006 题： 你有一个目录，放了你一个月的日记，都是 txt，为了避免分词的问题，假设内容都是英文，请统计出你认为每篇日记最重要的词。
+import operator
+import os
+import re
+
+rootDir = 'diary/'
+
+
+def count_words(filename, words):
+    wordDict = dict()
+    for word in words:
+        if word.lower() in wordDict:
+            wordDict[word.lower()] += 1
+        else:
+            wordDict[word.lower()] = 1
+    print('%s word:%s' % (filename, max(wordDict.items(), key=operator.itemgetter(1))[0]))
+
+
+for top, dirnames, filenames in os.walk(rootDir):
+    for filename in filenames:
+        file = open(rootDir + filename, 'r')
+        str = file.read()
+        reObj = re.compile('\b?(\w+)\b?')
+        words = reObj.findall(str)
+        count_words(filename, words)
