一、模板基本元素

  1、例子程序

    1)urls.py中新增部分

  1. from django.conf.urls import patterns, url, include
  2.  
  3. urlpatterns = patterns('',
  4. #...
  5. (r'^template_use/$', 'django_web_app.views.template_use'),
  6. )

    2)views.py中新增部分

  1. def template_use(request):
  2. person_name='jimfeng'
  3. company='fuyoo'
  4. ship_date=datetime.datetime.now()
  5. item_list=[]
  6. item_list[0:0] = ['aaa']
  7. item_list[0:0] = ['bbb']
  8. item_list[0:0] = ['ccc']
  9. item_list.reverse();
  10. ordered_warranty=True
  11.  
  12. dic = {'person_name':person_name, 'company':company,'ship_date':ship_date,
  13. 'item_list':item_list,'ordered_warranty':ordered_warranty}
  14. return render_to_response('template_use.html', dic)

    3)template_use.html

  1. <html>
  2. <head><title>Ordering notice</title></head>
  3.  
  4. <body>
  5.  
  6. <h1>Ordering notice</h1>
  7.  
  8. <p>Dear {{ person_name }},</p>
  9.  
  10. <p>Thanks for placing an order from {{ company }}. It's scheduled to
  11. ship on {{ ship_date|date:"F j, Y" }}.</p>
  12.  
  13. <p>Here are the items you've ordered:</p>
  14.  
  15. <ul>
  16. {% for item in item_list %}
  17. <li>{{ item }}</li>
  18. {% endfor %}
  19. </ul>
  20.  
  21. {% if ordered_warranty %}
  22. <p>Your warranty information will be included in the packaging.</p>
  23. {% else %}
  24. <p>You didn't order a warranty, so you're on your own when
  25. the products inevitably stop working.</p>
  26. {% endif %}
  27.  
  28. <p>Sincerely,<br />{{ company }}</p>
  29.  
  30. </body>
  31. </html>

   4)运行结果:

    aaarticlea/png;base64,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" alt="" />

  2、基本元素

   1)变量

      {{变量名}}

     eg:{{ person_name }}

   2)标签

      {%标签名  变量名%}或{%标签名%}

     eg:

  1. {% if ordered_warranty %}
  2. #.....
  3. {% else %}
  4. #.....
  5. {% endif %}

   3)过滤器

    {{变量名|过滤器名:过滤器参数}}

    eg:{{ ship_date|date:"F j, Y" }}

   django模板标签,过滤器的详细参考:

        http://djangobook.py3k.cn/appendixF/

  3、独立的python代码中使用django模板系统

    步骤:a)创建template对象

       b)创建contex对象

       c)调用模板对象的render()方法,将template中的变量替换为context中的值。

    1)简单的模板渲染:   

  1. def template_use(request):
  2. #创建模板
  3. t = template.Template('My name is {{ name }}, ship_date is {{ship_date}}')
  4. #创建context
  5. c = template.Context({'name': '普罗米小斯',
  6. 'ship_date': datetime.date(2009, 4, 2)
  7. })
  8. #template调用render方法,将变量替换为context传进来的值
  9. info_str=t.render(c)#返回的是unicode对象,而不是普通字符串
  10.  
  11. html = "<html><body>info_str: %s.</body></html>" % info_str
  12. return HttpResponse(html)

    运行结果:

    aaarticlea/png;base64,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" alt="" />

   2)较复杂的模板渲染

  1. def template_use(request):
  2. #创建模板
  3. #三个引号来标识文本,这样可以包含多行
  4. raw_template = """<p>Dear {{ person_name }},</p>
  5. <p>Thanks for placing an order from {{ company }}. It's scheduled to
  6. ship on {{ ship_date|date:"F j, Y" }}.</p>
  7.  
  8. {% if ordered_warranty %}
  9. <p>Your warranty information will be included in the packaging.</p>
  10. {% else %}
  11. <p>You didn't order a warranty, so you're on your own when
  12. the products inevitably stop working.</p>
  13. {% endif %}
  14.  
  15. <p>Sincerely,<br />{{ company }}</p>"""
  16. t = template.Template(raw_template)
  17. #创建context
  18. c = template.Context({'person_name': '普罗米小斯',
  19. 'company': 'Fuyoo',
  20. 'ship_date': datetime.date(2009, 4, 2),
  21. 'ordered_warranty': False
  22. })
  23. #template调用render方法,将变量替换为context传进来的值
  24. info_str=t.render(c)#返回的是unicode对象,而不是普通字符串
  25.  
  26. html = "<html><body>info_str: %s.</body></html>" % info_str
  27. return HttpResponse(html)

   运行结果:

   aaarticlea/png;base64,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" alt="" />

   3)1个template多个context分别渲染的常用方式

  1. def template_use(request):
  2. t = template.Template('Hello, {{ name }}')#只需创建一次template
  3.  
  4. name_list=('John', 'Julie', 'Pat')
  5. for name in name_list:
  6. info_str=t.render(template.Context({'name': name}))
  7. print info_str
  8.  
  9. html = "<html><body>info_str:</body></html>"
  10. return HttpResponse(html)

    运行结果:(控制台输出)

   aaarticlea/png;base64,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" alt="" />

二、模板常用功能

  1、Context传递不同类型参数,template的对应访问方式

  1. class Person(object):
  2. def __init__(self, name, age):
  3. self.name,self.age = name,age
  4.  
  5. def template_use(request):
  6. #字典对象作为context传递的参数,template访问字典的"键"
  7. t_dic = template.Template('用户名:{{ person.name }},年龄:{{person.age}}')
  8. person_dic = {'name': 'Sally', 'age': 43}
  9. person_info_dic=t_dic.render(template.Context({'person': person_dic}))
  10. print person_info_dic
  11.  
  12. #自定义类的对象作为context传递的参数,template访问对象属性
  13. t_class = template.Template('用户名:{{ person.name }},年龄:{{person.age}}')
  14. person_class =Person('aaa',22)
  15. person_info_class=t_class.render(template.Context({'person': person_class}))
  16. print person_info_class
  17.  
  18. #对象作为context传递的参数,template调用对象的方法
  19. t_class_method=template.Template('原始字符串:{{info_str}}, 大写字符串:{{info_str.upper}}')
  20. output_info=t_class_method.render(template.Context({'info_str': 'hello'}))
  21. print output_info
  22.  
  23. #列表作为context传递的参数,template访问列表索引号
  24. t_list=template.Template('索引号为2的用户名:{{name_list.2}}')
  25. name_list=['name000','name001','name002','name003','name004']
  26. output_info=t_list.render(template.Context({'name_list':name_list}))
  27. print output_info
  28.  
  29. html = "<html><body>info_str:</body></html>"
  30. return HttpResponse(html)

   运行结果:

   aaarticlea/png;base64,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" alt="" />

  2、Context中参数的增、删

  1. def template_use(request):
  2. c=template.Context({
  3. 'name000':'aaa',
  4. 'name001':'bbb',
  5. 'name002':'ccc'
  6. })
  7.  
  8. del c['name001']
  9. c['name003'] = 'ddd'
  10.  
  11. for item in c:
  12. print item
  13.  
  14. html = "<html><body>info_str:</body></html>"
  15. return HttpResponse(html)

    运行结果:

    aaarticlea/png;base64,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" alt="" />

  3、模板中的常用标签

    1)if/else标签中的布尔值

       所有为False的情形:

        a)空列表:[]

        b)空元组:()

        c)空字典:{}

        d)空字符串:''

        e)零值:0

        f)对象为none

       除以上情况外均为True

       eg:

  1. {% if not athlete_list or is_no_coach %}
  2. <p>没有运动员或者没有教练</p>
  3. {% else %}
  4. <p>既有运动员又有教练</p>
  5. {% endif %}

    2)for标签
       django不支持退出循环和continue操作

      a)增加列表是否为空的判断

  1. {% for athlete in athlete_list %}
  2. <p>{{ athlete.name }}</p>
  3. {% empty %}
  4. <p>There are no athletes. Only computer programmers.</p>
  5. {% endfor %}

      b)反向循环

  1. {% for athlete in athlete_list reversed %}
  2. ...
  3. {% endfor %}

      c)记录循环次数

       forloop.counter:当前执行到第几次,以1开始

       forloop.counter0:当前执行的到的循环索引,以0开始

       forloop.revcounter:剩余的循环次数,以1结束

         forloop.revcounter0:剩余的循环索引,以0结束

       forloop.first:判断是否是第一次循环

       forloop.last:判断是否是最后一次循环

       eg:

  1. {% for link in links %}{{ link }}{% if not forloop.last %} | {% endif %}{% endfor %}

       可能生成的运行结果:

       aaarticlea/png;base64,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" alt="" />

       forloop.parentloop: 在嵌套循环中使用,用于子循环引用上一级循环中的变量

        eg:

  1. {% for country in countries %}
  2. <table>
  3. {% for city in country.city_list %}
  4. <tr>
  5. <td>Country #{{ forloop.parentloop.counter }}</td>
  6. <td>City #{{ forloop.counter }}</td>
  7. <td>{{ city }}</td>
  8. </tr>
  9. {% endfor %}
  10. </table>
  11. {% endfor %}

    3)ifequal/ifnotequal标签

       用于判断变量是否相等,支持的类型(第二个参数):字符串、整数、小数

      ps:其他的列表类型,字典类型,布尔类型均不支持

      eg:

  1. {% ifequal section 'sitenews' %}
  2. <h1>Site News</h1>
  3. {% else %}
  4. <h1>No News Here</h1>
  5. {% endifequal %}

  4、模板中的注释

    单行注释:

  1. {# This is a comment #}

    多行注释:

  1. {% comment %}
  2. This is a
  3. multi-line comment.
  4. {% endcomment %}

  5、过滤器

     常用过滤器:

  1. def template_use(request):
  2. person_name='jimfeng'
  3. ship_date=datetime.datetime.now()
  4. item_list=[]
  5. item_list[0:0] = ['aaa']
  6. item_list[0:0] = ['bbb']
  7. item_list[0:0] = ['ccc']
  8. item_list.reverse();
  9.  
  10. dic = {'person_name':person_name,'ship_date':ship_date,
  11. 'item_list':item_list}
  12.  
  13. return render_to_response('template_use.html', dic)
  1. <html>
  2. <head><title>Filter Test</title></head>
  3.  
  4. <body>
  5.  
  6. <h1>Filter Test</h1>
  7.  
  8. <p>length过滤器:<br>
  9. -----person_name字符串长度:{{ person_name|length }}<br>
  10. -----item_list长度:{{ item_list|length}}
  11. </p>
  12.  
  13. {# 添加反斜杠到任何反斜杠、单引号或者双引号前面,常用语输出到js代码 #}
  14. <p>转义字符过滤器:<br>
  15. -----特殊字符前加反斜杠,进行转义:{{ "A\B'CD"|addslashes }}<br>
  16. </p>
  17.  
  18. <p>日期格式过滤器:<br>
  19. -----对日期进行指定格式的输出:{{ ship_date|date:"F j, Y" }}
  20. </p>
  21.  
  22. <p>单词截取过滤器:<br>
  23. -----截取you are the right person to do these things前3个词:<br>
  24. -----{{ "you are the right person to do these things"|truncatewords:"" }}
  25. </p>
  26.  
  27. <p>列表第一个元素转换成大写(过滤器套接):<br>
  28. -----{{ item_list|first|upper }}
  29. </p>
  30.  
  31. </body>
  32. </html>

    运行结果:

    aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAe0AAAGDCAIAAACJKN+GAAAgAElEQVR4nO2d+3Mcx3Xv93/KL7F+SapsqVJxynaSCllRmUxCuWhXKo7iOHVvnPzguhXHuo5/kCyZdBTrYYu0nbKkynUii1R8Q5DCaxcP4g1KfIIEFo99zb6wIK0KNj/Mq3e6+/Tp2ZnFDPD9cAjMdJ8+fU7P9Hcaswts4bs/uvJPb77/v7/z+k/+/frM8r2phTtTi3emve12MdiWbheX7hSX7hSX7xSX7xaX7xZX7pVW75VW78+sPZhd35j76NH8R5s3P97yttvlm7f9/Y825z/anL/1aO7Wo7n1R3PrD+fWH4nbrLytPZxdeziz9nBmdaO0ulFafVBaeVBcue9vD9yttOLWRreiu60Im1f4sLi6UVx56G8bxZWNaWmb8raH3rb6cGr10bS7rW2qt9VHU6uPplYfTq08nFzZELcBV/42e2vrg8mln/xibGLxweTSxsTSg4mlB+NLD8YXve1DYbuxcD/cbt6/cfP+9Zv3rt+8d33+7vX5u2Pzd8fm7lybu31t9va12Y+vzX78X/52bfb2tbk7Y/N3x+bvXp+/67W6ee/GzcDhgw8XH3y4tDG+tDG+/HBi+eHEyqPJYFsd3MSqlYeTKw8niG354cTyxsTyxvjSxvjSg/ElN5cgi3vXb969Pn93bO7O2NxtP3hpm7sTbG4WY0IWwnbf37ySyeWN/7h+80fv/v+xuXvXF+7fWHhwY/HBh4sbHy5ujC89HF96OL78cGLlkbuJGYV5LW8Emxv/+NKD8aWNca/w4XiwLT0cX9r4cGnjw8UN92S5p8Y7L7O3rwXnQsgoSCfYrs3duTZ3193G5sSqe+4WzTe4JBbd7B58uOSfSu+Eupt7Rh5NeCd0c2ptK9im17em17em17zNL9+cWtucWg23ydVN9wKYWHlUurX1/sTSpf839uHCAy/lxQc3Fh7cWLh/feG+cC7uy2dq7Oa9MN/5O+L5lcZEm3VwQge3jRtLGzeWNqRyb7u+8MBt628PvG2R3Bb8hjfvX795f+zmvbH5e9fm714Tz9f83WtS2GPz95TpjM3fG7vpbaor2b1053/07q/G5u5GT7R/rge3+zcW7hf+z4Wf//W3fvAPL/3IFfHJhTtTi3enFkU1v1Ncuutty3eLy/eKK/eKK/ddBfdE/NbDuY8ezX/s6/jtrYXb5YXb5UDW510p/2hzzlVzeVNJ+Ywn5Q89gV554G0Dqv1Q2gLVFuVbta08nFZtU/7XQMT9TaHg/kUf2LhSHhXuyDa9+mj+4+2fvz/+r++N/1fpow8X708sbUwEehHV8Qeijg9MknlBMlw1DzRxThBxYSYECu5P/gERD2a7uwkzWZJ1psovPwzU3EtnMZByP/j5u2NzrqYH292xqJzdFWb1fXq7sfBgenXzJ7+4fukX1z+YujU2f8/T8aUNV8THlx8N6Lgil8EblTc+oSZ62/KjQM1dKb8hS7laqnQTXpr8csoLwdx+IIj4hi/iwj1GEPEJ/7SKOq7ZNiNS7l8P7uWxOfvR9r/+cvyn/zH+q+LH1xfu+1l7m6TmA8ruSiEjX+ksL9y/7nYRCPfihpt1ZPMF3d0EKV+UtXuD3LRSTgr0/UCpxc140cqX7tWp9bH5e6qbln/S/a3wv771yndefv2VV9+4+C9vYhvxduHVN95461//+bUfH3kkx3LD8GJsc7rZDm/hF1euP3i0Xak3nzx58uTxkydPHj9+/OTxkyeP3f+Pnzx57BY/efIk/PbkyZPHrolr5No8eewX+r6EXRfXKPDhN/c69Zz6/p8IjcV+/NCCFo9dkyDaoJsgGqSG1JAaUjuuqRUeP358cPD4QGDgQFP2WGulKFeZxjMKbR9rg4j4QmriMVLTOYxnFNoiNaQ2eDzS1Aq9g16vd3Bw0OsdHLj7PX//4OCgd3Bw4BUcHPQ8y4Ogtud+d5v3er1e7yBw4JUdBP57fsNeYHkw8N3zdOD13vMa9Q78zbX0O+75/fgR90K7np8IUkNqSA2pHffUCj0V+8J/VV1kb19jEC3W1OjbGCyl/f39Xm/fL1b7RGrqwJAap43BEqlJ7ZGa7CSF1Ar7+719l16v5+/3wsLgy37Prej1PONeb38/TNmr7w207+33/APfoedRdBkSugjr/Z2e15lv5AbS87v3gtmPxDF0ar1ez7tr+7dT4bt/f+6FZqGdUDHgIqz3d4SVgHujD27R3p23dxA6PBhs760GxND8QIQ4wtt9uAg4ELtEakgNqeU3tcL+/n7X++9+8b7u73fdcv8wLHBtu939brTJ4GE3dBv66u6LPXRDs67ncqCs2/V76u77HXohuY0Dh92uEEHXD3yY1DrdbqlUevuddy5fvnz58uVLwtfLl7y9S5cvX7p0+fLlS36JV3/5klfsFV66dOnypcsDZZcuXfaLL1/y2l/yvF4KO/N7uCz0GPR0KSgWOvbDiRQEni9FmyA1pIbU8p1aodvd73oEO5rjwXJdLd2Wb+Aaacz0rfeVB3FSu3nz5sLCwq9//es+AABkmEK32+m4W6fb6XY77v9Ot9vpdLrdbqfbCeh2vYOuv+tZdbqhC7FtJ/TW9YoFQ7+269Z3fUddv4/gW1fsv+v7DLsO2glNgkzipdbd3//www8/+eSToz5BAABgoNDudNqddqfT6bQ73ve2r27t4EsnLGq3275JOyjzdga+DzaM0B4wGLT3d7yO2ooOlB6DduH32Kl1ut3x8fGjPjsAAGCm0G676hWh4331lNDb9yo67XC/HRyHRa4YCoaBswHnQq+diEOxoWgXOAlrB+MIbHxBDhfdAy06XTq1bqcDHQcA5AJXx1utVqvVbrXarVar3W633f12O/zv7XhrW7eJV94KzFtt148nmC3Pt2/hFnmmfge+h3ar0+m02u12p9NqB948i8Bp0Il/GOz7Pfhhzs7N/eM//uPZs2d///d//+zZs9/+9rfn5uY7rvNO+7vf/W670xFTawXRtVutVrvb7YxPTMjj9cknn1xS0Wq1Rn/yAACg3+8XWq1Ws0XSDL9NT0//27/928LCQrvdbjXdwuaAlb69trjpSfHU1NQ777xTLBbbrXakluHOo91ub29vf/3rX//Upz719NNPf+5zn/vCF77wuc997jOf+cxv/uZvfuMb36hWqy+++OJv/MZv+Cmo++h02hMTivV4t9t9661LYkmv17t48eJbb0HKTwTrb3/zmxduVI86DABECs1Ws9lsel/FHfeo1fKKWs3JyamrV65MTEx88MEH7bCi2Wr5lq1W4KzVbLa8mtCZ/6/VitQ0m81m8/0rV4rT01euXJmeng4NBEO3sNXyu2wO2Lhf9vb2Tp8+/fTTTz/77LNnzpw5f/781/76a+fPnz9z5syzzz77zDPPfP7zn3/66ad/93d/t91uCy1dr60g+E67PaFajzebzR//+K1+v//rX3/ibvv7+xcvXuz3+z/+8VscKb/z0lOFQuGpl+4oyz3Ov++Vvn++oEBuHTXWWNiY6UMdYP3tbwa8va6rikpfvKp+v9/vV29ckHoaHfnV8aMdN5AqBafpNJtNxwnl0nGajtNsOo7j1jWbTceZmpq8evWDpcXF6WLx1q11V/K8esf777pxmk4zLG82m47g3GmGZU7Q3HGarVZzfW29VCotLS198MEH09PFZqvlhH34rZ2m03Qc12UQuOOWNpvN1t9+428/+9nPnj179mtf+9r169c7nU6vd9But8fGxv7qr/7queeeO3PmjPvVuxl4qQZher212q3JyUl5vJrN5ptv/qjf7wd/ySbQ8X6//+abPyKkXNTkiDi+f14sef+8KOWyE2XV++dDr3deekqnvzwzIlSR6o0Lgqqtvy1KuSh4g3Yxq8Q+vV7W3x65MvF0/AgCMwEZP84UHAaTk5NXr15dXFwslUofffRRu93mtLKl1Wqtr6+XSqXFxcWrV68Wi0VX8PnMzs4+88wz586de/755zc3NzudTlDV6XRef/31L33pS88///xXv/rVs2fP0s7b7bZOx994481+v+/9IbLHT/b3918SeOONN03vVhSlVM2dl55SqzW74s5LT6n6YJpxQ43IlaBxUdWo3rgwXJWyCDrORjGU4PhQaDQaTsNpOE5DwD1yGg2n4UxMTFy9enVhYWFmZkYQcW/d7jjuN1cUG2E7z1Gj4TQcx3HCAscraDrh4trxVv+tdnttbW12bnZhYeHq1aulYrHpNJ0wosCj7yv02XAc55++851Tp06dO3fuV7/6VavVClJzHOfll1/+whe+8Od//ufPP//8X/7lX545c6bpNAdTDrtwGo12qzU1NSWPV7PZfO211/v9vv/7uwe1Wr1c3g621157vdvtkmPO03GVhVZ2ZX1XdsI0o6oHFsmDuiscyYu/QP/iValtv6l4AiNWCE1dZQ0ro07Cbr0uRD/qe1WkM8/INjAV0bQHj8MHTwNjRfrP7+MgwKHQaDTqrny53+p1b7fecBxnamrqytUrCzcXVldXl1dWrl8f+4/33nv33XffkZifnw/Ftl6vC17rvlb6+06xWJQ9vPvuu7/85S9v3LixsrKyuro6Pz9/9crVubm5wKkXlu+mPhi14zT+4i/+4rnnnvuzP/uzWq0W1DqO8+qrr37+85//0nPPffWrX3V1/Pz5807Dqbs+vVjr9dBbvdls6nT8hz987fDwcF/F4eHhD3/4WrPZJMfcqOO6Vbe+oSzwSslnmlE9Rh52uOJx4ca6970aFg/KRlASr8ojIkfSsnegfiBUV/zEdb8ghANPhDyZHHQzUBvext5W9mUVmApCxweq1m+IP5kQ/iHjx5xCvV6v1+sN739d+F5vNBpXrlyZn59f9VlcXJydnS2VZkqDjE+MX7lyxVVAI06j8d57701NTYXtfX+zs7NLS0tBdzMzM//5n/856Lahi7fRaHzlK1/58pe//OUvf9lxHLFBu9PuDbK/v6+J1itstVrT09PyeDWbzVdf/ZfDw0P/V0UHtsPDw1df/ZchdVz3dFz7TEXpUmnNNGOH2u8PvCwprWkFs2CtHa8qdCvKY+S4euOCvERV6V/0Wf5AbaQqEoVWEQdisQhMhV7H1U+5Tf6z95gHJEuhXqvV6rV6rVav12q1er1Wr9XcnVqj0VhaWpqangqEtVQslYrFYqlULBWL/l6pVCwVS7c+utVoNNzGrsNave45rdU9x/V6vV5rNBqrq6vF4nTRdVMqFkulUqlYLBVLpVKpVPQ6W1mdmppaW1trNBo1P7R6zfXsBlh3+3K/NBqNr3/961/5yldOnz69u7sTWCpTc7+4kQXxhVb1WrOp1fEf/OCfDw8P/ffbD2yHh4c/+ME/D6Pj+pceyZWzWqAlc6YZL9S+6iGLJxdqRb5woxq3KuhAWuWGBZEnGoN3F/2j/Gg/CqXWrYcH362j1XEyMBXEetz3JVYb/OMVzuNPoVar1WrVarWmxHGc5ZWVYrG4urpSKpXWb91qDfzCTfgbP81ms1arVmvVaq3mfqlVaxqv1WazKTQVnLRaa6urMzOlldXVYrG4vr7edJxarVoLPAWBVsWDWq1WbTQaFy5efO65506dOvX2O+/UXaUWUnPX7O4yPPQR+Aqj9yIsFovyeDWbzQsXLh4eHjpOS94ODw8vXLgYW8eJt5kYFHV0z8dF9E8P0ng+rpAjhVzq9CoFHXc1XHzgQum4jZDSz8cF4aYW6bF7B/mjUHXly6Pm7gcFtXrNcZzl5eXp6eLi4uK1a9dmZmfr9bpnFBh77fyCWlAcoRYU1YLmYUmtWCxeG7u2tLQ0PV1cW1trOk7oNfCg8uu2X1paOnv27J/+6Z/+wR/8wa1bt+r1emBZrzdWVlf+6I/+6PSpUxsbG2HcVeFrGEq12dLq+Pe/f+Hw8NB/OXdgOzw8/P73L8TTcerNhqbHH/K6mni/CsPMEKoHJbvRBweRN6XYVykfRdDibGEa1XH93STcV7ziqXuuYvt4Ojqy6vZhoJR/vFHlJFCoVCuVaqVarVYqlWqlUq1WK9VKtVLxiiqVaq3qNBrLy8tTU1Nzs3PvvffL6anpuid5roXfwnNUrVYqVa+iGlR5VtXQcSW0r9bq9cnJyffee29ubm5qanJtddVxnErVra5Wg268ECuBtyDkarVab9RffPGlc+fO/eEf/uFnf+/3fvrTn5a3y/V6fWtr69KlS7/zO7/zzDPPfPrTn/7Fv/97LXTptXV3gx6aTUen4y+//Mrh4WHNe8YzsB0eHr788isxdJwUcZ2MDzaS3hju18Qy04YqPkoZfAVQ8W5yzVI6TpVSqtTr1IGFsHK5bNbxiCar3hYvlnsLZOWb5w2BKVG88OrfH4OXVuWnLSr/eIXzRFCoVCqVSmWvUtmLfBeoVquNRmN5eXlycrJYLF65cqVWq/mVe4L1XuT7AHv6qkqlWq29//4vZ2ZmJicmV10R57A34NRdTP/d3/3dn/zJn5w6deq3fuu3nnrqqU9/5jOf+tSnfvu3f/vUqVNnzpz5m7/5m52dHaPjZrNZKql1/Hvfe/nw8LBarcvb4eHh9773sk7HB35jU/zFTVVF9PeCmG8Gl34hNJ6ZNlT1+1XUT3w179yLVaWTI//5dOTdJd+MlNo/V1nXRCjdaPyOFB2wAtMw8JZI6WVYhRe1f8j4yaBQqVT2BqjsuUXi/729SqVSr9dXV9cmJyfX1taq1VrFLRYaBtZCacXzuCeWu98rocXeXrVaXVlZmZqcWl1dcxqNSsTcb1ARD0IfQe1erVrd3d195ZVXzp0798UvfvHZZ589ffr0H//xH3/xi188d+65ixcvuo9NxNTC+Ct7lb2K26/jNGdKJXm8ms3miy++dKjnxRdfMq3HgTWjfMPFcZI+vFHlhFDY3dvb29vd293d29vb9Td3f293d88vdusbjUaz6dTr9T2v1jUIWgcNvX8eu/6e2IHX6YBzp+nUGw3RdRhP6M1rPPBl1+tyd29vr1JpNVtr6+tvvfXWt771rb//+79/4YUXfvKTn3x8+3az1apUKsrUQtd7e3u7u47jlIpqHf/2t1/4h3/4lm574YX/Cx1PmNG+UjdCHR98twt3qc4Gr3CeGAq7u7u7u66cqdCVD9TsKYvVpVxMLfakw72gdG93d69Sqbi/6+/+6Vv3QQ2zB0/HVevxbre7sbFx7969DRVuuen3OUGmOU7rcXBCKOzs7Ozu7Ozs7u7u7nj/dt0Dd2/HM3C/u4d+g/D77q6357nZda13vSahq9DD7m5YvOvb+o1F134r31XgwN3cXd+j59QPOXZqjuOUZmbk8frkk0+63W5TT7fbxafB5RroOMgdhZ2dnZ2d7Z1t99vO9vbOzvbO9vaOz7awvxOY7UTLzAz62Y62IrxsBzFuDxhuS40UTmKm1mg05ubmDg8Pj/oEAQCAgYKrjds729vb2zvbgVy6GuceeLXbbrFg5dt4Va6Vb7u9sz1QFJRLLgORDao874IjV3K3BTkOA/KdhFmE6cRNrVar3b798f379//7v//7qM8RAABQFLa3y+Xt8vZ2+GV7e3u77P13vwU1ZaHU2/H2y9vb5XJ5e7tcFku3vfJy4NT3LZhte00Huw2qhN7KXrCDjQXDciTM+Knt7Ow4jnPn9p3ZudmZmVKpNDNTKs14lGZKMzMzpZmZUskrLM0E30SzGa+pXzUzWBX6cp35BxGPvlu/U7ei5O6XZsJWpYF2JTFQMfBwv4TUkBpSOwapFTxlLG+XPb31FLkc4OqsuyeWB/Xlbb9lcBDWDZpuB/Zi+7AoaOz1KTgK3Q963xZ3omENk9rOzo7TcNre5zUDAEBGKZS3yuWtrfLWVnmrXC5vuUflcrm8FSra1tbWVrkcbF7lVrm85VX5daGXra2gvVvvm3nufdPylu8r7MhrFXgWCd2WQwdb/n7ZD8PrBKkhNaSG1I5/aoUtgbLmO7ETFIT75eBrWa4N2pUH7MtROz97obSs8LJFUFYdILVoe6TmhY3UwlKkpnCkaJGZ1AqbW5tbW1ubW5ubm1vu/tbm5tbW5qZbvLXlf/OOg32vanPTtfdbBG29Mq/Sa+xZCh43gy63xA69VpsDnfkt/S6DiDbD0PwkhOZIDakhNaR2nFMrbHq+vO9b/tGmUCoWDu4OWA+Y+eGEpV4sg568RIIhHexjSzSMtPSPIwFviZZIDakhNaR2/FMr/Pznb2PDhg0btvxuhaN+4yMAAIChgI4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+gY4DAEC+yaSOT79QKBQKhRemjzoQAADIPnod3/nZ6QKT0z/bMXshjPqBdA9wQnRclbrdIAMATjSm9XggMrKMCPqj1ZgBjWLqciD9J0PHo+kGQ+an7xecjOEAAFhj0vFAZdRSbdQY7nrcyqm6k5zqnJttODqSjssmR0KuBxmAY82QOt73RSbJ+W2t48mHMDqk2BU67p2FoxXyPA8yAMeb4XU8+YWarY57MeZSYuTBU+l4BhbDeR5kAI45Ceh44ljq+DF7fqzU8SPnmA0yAMeK+Do+/QJvWtsv5Gw0Q3ghNUWJ8XoZyb0sgzo+mkEGAMQkto5TP+mr3rKYrI4z3qtHia7cXO5LkYTvMtI8WW2z1XFOLgMoz84LL8hDNuQgAwBGRFwd5/6qTpw3Edr9DG/ZgyyTxFsrIxanf7YjJh7qXBqv8jKc2uciZuIhyLrpNZCEMwUAJANbx9XwtSYTOu7bRgXLIH+B+p0eeESUzmsHXB2PkYvXRFvBePsodByA7JH2ejxLOq5Tvr5JksUHDKk/SeDpeJxcKLU2vLMROg5Ahknl+bhIdnSckD6DkIc6PoLnwSwdj5dL/DedQMcByDCpv18lMzpO24XPjxTViqfK6cHR8bi5DDwls8kGOg5Ahkn9/eOZ0XHmn6PKhY4PkYviFQ+LFxag4wBkkBOo4/ZSlF0dH0JWJT3nPMeBjgOQQU6Ojg+RSeZ0PMl3yoh6jverAJBHTo6OD7GIzZyOx8qF+kNXpgyh4wBkmPzruNp852en9b+fSP0WqqouezoeJxfyDySY/vIAe5ABACPnGOi46j14Gk0m1I96A3UGdTxGLuSa2vT7ABaDDAAYMezPA4o5X2PcB6ybSA04TxDEetOvM470T1eZ/0yAbMrLRXyXy0A15z5lNcgAgFFi+fmcPGk1/DI//as2amz/9hPrlyHJmIb+iwS2aDq0/6tXupPkf6zQz1RjbfPmw/TGAAAQA9N6HAAAQLaBjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL6BjgMAQL45PjpeKHBz4VsCAED2yZmiERKsrNIVihirCHsAADhy8qdKOiXllzNvBqKOc9oCAMCRQKnSkaxAjT26tQWS2PbQcQBA7jCr0uiVK16PSvlWHtJVeK4CAMgXR6/jVs89YvtRijXfJ+QbAJBZcqPjymUy3w/nQQodG6QcAJBNYuq47uFDX7PatXpeQfjpk6tsIn5jq4IN6pECAICjII6O6xbCuqUurbbKEqLJ8DreV92HmA0BACBrxNRx3fpa2TCGjvMP6XJjbDpXkZiJTiH0AICjJYH1uK5clkJaajl+rHon7jE6P7aSDR0HABw5o9Bx4+KX6Ye256/HRXvdQyEiWgg3ACBTJPx8XGdGPI9OZD1uvLUotZuOMyLxyvgh6wCAI8f8mJjQL6XYyYecBTXHT18jxHQKfY2aK+NR7usM+tBxAEAGGIUGcRbUtn4KJJEmOh2XZd1WxwEA4MgZkSrp1vWj6Tqy05eW+XK58mcCrL4BABkEqgQAAPkGOg4AAPkGOp4bmI90lA+L0u4iWf8AACswr/IERwePSsfTvgcAAHRgUmUX+j05uvfnyFVW9pwXdfm3Ctv4AQAxwBTKLkyBK0hvyCmo3iip9BYppA9tzXSR0E344H4AgAsu/YwSW8TFQ6PgDq/jdJxp63iyDgHIKbj6s06MZxGcpTftnO6FXuNb+R9Gf6HjALjg6s8fHPWM0Yppwzfrp7weT8kbALkjcxMgWKMpF2vyOk48lJd4uqWfzo/SCSfOiD0RJzMeol+mgbJHugu6io/SoW5/eJL1BkDuMPx4rpyioykPYhDjiYQXCTVSrrMnyq20Rmdv7DeyQ+Ql92gVEt1WOf7KM6J0ZQymrzpHhNt4JOgKgJySxTlA66xSCwi5sfLPaW70I0er6ygQRDkvpsjK/nXDIqcTr0SZiA5bkY0h8dBxALI4B5g6SzQRy42in4aOK/cJHac74oRkzCINHadD6gsJErefiD10HABbsjgHEtRxjp/EddxYnoaO20bVH/q5Cicqq7tIPKDjAGRxDhgXtsYq2j7jOp7U7cpYPvx6nL7F2p6vPtbjAMQii3OAWAzKVcTikVkVKVEeEkHShzJ9Qa2U9vTIELW0zTBtlWbKIaW9MUeVEwPRCwAnjSzOAcxMGaV0EpZJtdWZEXcLjsrH0GsAgI7MzSXOsnSUEMvq0UcS22yYtrHN+qazmbVzDUBOwRQCAIB8Ax0HAIB8Ax0/AmI/ScAjCACADHThCBjBI2wAwMkBonAE6N5SorTkkH7IAIDsklEJOBJ5ImQx2Xjk9+RxLHX7Q0aCmwEAeSejs/cIlWXEOk67TVXH+bcTAECWyd/UTVtuElzqGquMfaX6UAU6DsDxIH9T9zjpuJWTNJ6rpOcQADAysjh7dStNYh0ql8deuhL9EqESXTc8P28AABhySURBVBPx6FAGo9sfEv7IAACyieHhrFJi0i4PetdFRZcUBOnU7dBZD9mvsa8gfatgdAOVCJByAPJLdmevlZ4qNW7EOs6v5cdjK6/DSDykHICckt2pO7yepq3jffJ9exwdN4ZE/OBCxEM4NPYFAMgd2Z26udBxwoCp40xL258GOPDDAABkmexO3WP/fNwYGOGQCJIvx/wfCwAAWSaLszfG0wPZXjwUd2L0a1tOxBmUy8Eok9JFSKdA5GjrEACQfTCBjwBCOnW3HOUtJNUgAQB54cRpQUHDiGPgWxpFH4IOwAkHEgAAAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPkGOg4AAPnGoOPEJ4qZXVt+3hjTXvnpw1Yd2bbCB6cBALJMijoeMUtK+q103LaK+Nh75YdhKquO8JM/AQAnkIR1XJY5oonuI4+JD0FWVhH2w6dAWOoSpLMGAIBkoRSKo5hM0VRWMTVO1kejesrNmfcJW3voOADgyKFUxkqU6aoERVw85N9FjCERh3SVrO/ETQIAABLHrOO2EszUcbHKuEYesgumE2KhzVRk3V0HAADSw7ys1i0zCc2NvfpmGnN0XLlM5gepS5B/g4GUAwBGg93z8aDK4DS5xx2EAfO+QqyyCf/GVkTvdDwAAJAs1u/zY6pSvJUpR8Rp/eVHwtfx/qBqE7ERbgEAICXsdNxqsUnrWoz1rOyQr8vM8khfRidiLrpDwhIAAIaHpeMxVsGcWit7o8IOqePKe4bRj61kQ8cBAInDej4eKVfuKz0YbZRNrGxi6DgRmNKbaC8aMKOFcAMAUiX++w75K3G+kMXQ8XjlRmOldsttdc9/iLsgZB0AkCwxddP2cQpTvBLXcdufCeRFt9xcd4si1vLiIXQcAJAsyeum1fPiiLd4Ok7/3CD2rkPnyijrtjoOAACJk5iOM1eatNAbm+vMEpRLnRwrI7d9rgIAAIkDlQEAgHwDHQcAgHyTXR1P5PnJMC+cGs1sX+yNV26L8UUIZvmInwgpH2fpbPjeYnjAozCQO7J7yQ4jLhxRsHVrq+M6g5R0nPNQXn5JI0aciUAMJkfH6RerCScxrof8yjpenjk5ZPE0Fxi/pyOWyPPZqFBMjL3Q6skp4VRxUuA0kXthDjU9OPFQRqILhii3MmaWF0ai44lkSvtJL3iQKbJ4mmVxMeqIfEjYMy9uWVmUTjhd6yBSkF3RxsxclPtKb/zCeIgDGGNwCLeyn2H8J5Wy8vzye0w2eOMQ0bmArJHFExbjktWZ8SePzkzpObbKKDvSSUxBEtx4PRoHIdJRPMkYEs4psz13w1clmK+Vf6Ox8bwQcsyZLJDyfJHFs6XUSrFKWa6UHnreEhpKBMYsJHzSfpg6ThNpqKyl9TFtXdN5jqfCshlz2OnaBPPlXwmcYHRazIxEeTiMT3C0ZO5UKVWGVquUrm+mAX/KMXXTKi8r9dHpiLI8JV1T3mz6poz67OshxvVDZJeUlunGmeiCDiZ2qITZMHMHHC3ZPVXxLjhi0tLXpfGqtdIF5T4tVbSZLmWr+awzVpYzlS42QdfM8WSKIPOkECHx7fnoxpnohU6N74dvll76IG0M0qacFWmXR3pXBibHKVcRHmiHuqHgt1UmpQxS9qPLRdcpUaUMRs5FGaf4lU42HjrPyvh1XRPxxIucGNhhMGZHR8KJLUaCdFWC6YO0ydypojVdFiOl+vT1YqRzRYid0olynzYgJrPRjJhjfOnRybfSuVI905C2yCGz3BiP8aTTDY0jaTUUdL86V/Tgy604ITFHjOkNZIQsnirjROJc94QY8R32k9CXtHW8zx4xnRkdLdHvMNjeimLoOKG2Vjc8nXPaRukNOg7SILunirkCVdowpdPokBOPbmbKS7D0dNyYQkTBOTPWVnFsp31KOq5b+XK6EGtTumPpPPOXJvH8cOKBjueX7J4qQqqSWgITffFt+MEwS4w6rmse4/bGTIEu7A+n40z5sA3SdpRkh/TSNd56XOfWVsetRimGT4h4vsju2aJnEVES49LMrI4rV5dWK80El7qEB7pKZxyjyZDx2N7Oh79vRU6ffDaNHUUa0l3Hi4rvH2ST7J4w/lJrmMuaLyhW6zuxSlZSXfyRWp24i4XKqKxCpVPoSzNcOdtjKzLhnD7LxhNnmyxhPxpdswo4hh9wjMnuKWde1vRVG0+g+WbGIHWSyjwkgjEmPuTdLmtyYBxJZq08LMyLJO0BgY6D2OCUAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvoGOAwBAvklYx2N8ZmO8DzZTNon9KZFJWQIAwOjhfjKh8WNwA2N5n26VoI5beeN/KCX94b9ylXGUAAAgQeJ/DLFSkZVaTy/SOcrIj9DoP0Y582ZQUP1YAB0HAKRNkjrej6Vr8VbTfLPgXkIQ2x46DgA4co5Mx5XLdlrT+RiTUvo3JqKskvuNEQwAAMQmeR231bVAxJWHHOJppS4S5T5TkQuqWxcAAKTKET9XIZSdj/GOouuaDl5576Fj41sCAEBSjOj9KkqDvmqpS6/Hdet9On7jvmxvbEUMC2egAAAgKUb0XEXZSlRMpXoyu05bxyN50R1BtQEAI2ZEz1WUOhgRPuLGQHfN13F+/LZd8O9AEHoAQLIc5ftVxJ3gK+eJhFHZY8RP/AxB+LGVbOg4ACBxEtNxWYIDzVLquLKEuQoe0gnxAIS498g/PXAUGcINAEibhNfjci1TVZnGQbm8YOf3SHsWd5SKH+lUDob4kQKyDgBInNSfqySo4zpxJHoklt4cDxwdl/fpjKDjAIBk4T4ZUCJbEiU6SSWWt5wulNFyPCt7oXVcd5+I7BM6DgAAiZPk83FjQ6Ur/nqcyZDSSd8GZGP5fkDfigAAIFmgMgAAkG+g4wAAkG/yp+OJPKkY/hG28vEL0Ut6ITGNh39mRads9WIG04NVcwBOLPmbD8TzeuPLmEonnOfahEhx1IoTFa3jtHJxdC1BHVc2H1LHCzbvLIKOAyCSv/lA6DizXKeqVjpl1HFbraFvLcb4jbcK2knsCJWHRKGxOcfV8PckAI4TWZwAVnoUr1wnmkQrWVtjBEkQ6Z2Q1xiyK/sf3qFYrhwKZiEx1MyAh9HxSCTEsA+D7joJqkbvn+40jUEA6ZGDsxWZY7bSabyIRYkxeqNbGauUfjjS1hfGwegzEoPsnMhUOc46dB50hcrw4gVJHNqi6zQpiGitLpWk/EdOn9JhGuMA0iMHZ4s5aa3KdXokFxqjoucD7URnrIuZ703XXBbQeBES5UYdj5HIsdTxpLKI558+m9DxfJHRs0WoZFI6TvelFHdmhIQH4lYhHxL2hE+lGOkKlZHrYI6wsa+IUugSlH3y87Ui8DC8K05fyn35MJ7Pvv7K5HSnawsyTnbPljzbIzuyPX+SK6cTMcfEeDgdcfql87XC2EonlMzBpHvh6AhxHiM7nHFISgGD5jodVw4CccjpJaUsZCcxujOea5BNDLNFKVVpl4sByIe6K8yqXNkpMQd0wRCW9DzRhaQMTx4ZvttIPHJshHP6dEQ8KEOVR0l5GejipDNKCmJklJ0yh4Xoa3g/w/unr/BkRxikTabPVqo6Lu/Tumk7q610XCd/zBK+jhOB8VPmmxGdKoddjpbTo9KAr0R0v8z7E59E7ge05xiHfZsrCmSN7J4tYl4R9sxy45zkX+Wx+w1KjCtBTjy6m1Aku+ArfdPihyEXxk5cp6e2oyE650DouPGkZ0fHOWNitOdcFSCDZPdU2V7uzHL5Yo2hpAnquM6ncVJxYmDax9NxqxMkGkcySkPHrWD2K1cxO9X5SVDHORebVXcQ8XyR0bOViOjQ5ZFazmpl+Hj4Om5sOBodl+8iOv2lvREiqLybDqnjyjufjhg6btUFx2fExkpGjfcb2UZZwq8FWSOLZyveFRZbT5VrK+XhMLOLDlIZEj+eZHVcKd907xHo3iMlOi3jtKVTUAYvN4zouCypytRsLwZiZIa5CdFBEv51IRnPPsggeTpVEfmQa3Uo/ehK5F7oiU3MH2bwyh4J58PHE2OIZIPAhu6IzlreYY6GMYW0SbXH0acDck3OLhfi+tZV0fLKLImBlVt+kLFj090JYvtktjKel0C4h8lxZMKX9m3jSO5JIO/gigEAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHwDHQcAgHxj9/m8nPI4QaTzyWq2nQ5vCQAAoyfmRyxyxJ3/ebg6/8wP27WKnK7SFeq6U1bxwwMAgOGJsyaNLZ2yH50oyzu6MIyyrouHX868GShjho4DANLGoDLEKli32Iyh8vHEl6mbOrnXZWFlDx0HABw5Zh3nH0aqlPInih0fnVs5DL5u8lOjq5TxKIMHAIA0SEvHmQ77wvqX4znB9a8uEuU+U5GVIQEAQKok9lyFuQJlLnt1gsjXcXrZLh/KfnRpMrODlAMARkPy63H68QKhlaIlIb5Gn0QKHJ2NBKDb1wWvywgAAFIiXR0nCo16bexR3qfjIfZle+L+oWxFxwAAAOmR4vtVaB3X+RfNZP9D6rixnHP/ULaKBEN0CqEHACSLnaZwNMhWx4lyQscj0j+8jitvJEY/tpINHQcAJE66Oq5baIvGugU+bak0YMbMEX3dYj+SnbJHOWyjGQAAxIZ62ssn0rBvswpWliuraOHm6zjHWKndclvdvYoYHMg6ACBZUlmPE2b0KjtoS8io0pXOkvag86lUc6LfyL7OoA8dBwCkQIrPVZTlnEW0vOClOzIKa19zw5CXzLSOyynY6jgAACRO8jpu1TxeiVjOt2eik2PlHUV5P9DdJAAAIA2gMgAAkG+g4wAAkG8yreOJPzMBAAARztsokvKZHpmWRc77TzivXgIAgA7juy0ScagzSES+sih2RFbKFyH70rgonYwqfABAnkj25355rcnsdJgAMq1u/PGVdVxXeFwZzb2K3wvunYmQ+DBm7bzQ8aQXrfaneHJpbFwX8jXnmOv48ONbOJE63h9Jjlbz6iSM+QhIfBizdl6ORMdjEIlEDoxTIhsoZS33Oh6gzMfqNni8dTzGRTNikl1x5IWsyW7WrpNMxaNbFwa1sQ+N5cbA7Oxj9DECdBKs1GiOzfFTjUzNByXQ8Sw4zNp1kql4aN2gf1CId0jcNggPRrI4l5Q/a0SW5/JIyQOkO0kRG+VhpCTSkVUKckfyiWSeXSLZIEelH75/Ik7CgzIkTrLMePqakR9mnHXlyn6NcdJ58fOlm1j5IZLV5cWJf2TxEJFw4tfFKXcd2Zd3lAEoD3UNlaESsXHGc8AbVaci7fKgSpmPsVy5TxgP2Zdu3IjYZLe2/nVmovMh/SvjJPrV7euqmGHQwSQ1zkQ50R0RLV3CHH9+nDHisfKf1LywjWeY+K2uE1F5dA6NWfBrOWHzZ4dnb2U9MgoSQXlfc2qJfcKec75jX6+R4HVtdcka/dMlET2y8m91BceYP3QXdI+cvHTjbOs/RsD888L0MLJ46Emn9JzqdRsjfqUN82KW/dAZWc0RwoaOITg0BGPs70igr13i1EauKo69XMiJgRk/3QXfIacVM/54zukq5Uy2nZ/MHjl5caTH1v9J0HHCiXHcmKSn433NddjXxC+31e0wE+FUEd0RXedYxyOIVYSl0kDp32gZe/5wrhUrh5xeiH5j+Le6RgnR5B/yg2HqDt8tdDyew6zpeIwBUYoMc8ATvPyIGJhkV8cjO0RVvOGWb3Gc60NuRQSvbG5lz++F8BPDv+01Kl+Ixn7j6TjTv9U4Z03HIzEclY5nZHys7G2vQ/qasb3AmLWiDaFOkUNDj8b+joSCiv5g8pwhICz5eiSW9xljqotf55zol9OLHCFxaBs5p0o2M8Yjx88MyVgVI37aDxE/HTAzBaMTXXZMPzoP9GFh8Pzyxy3BeJT90vaRXjjxK/eJEk6ynNGg/SjHmfJm7O9IUAYtX1t0W9uTBOJBzI00/AOgJMZ1KN4AZLmIfeHxu6ZDsujRynpkMO+NRFudfYzlAzASb11m5TlZt+BYYnsdKtd8uhKrMGK3jdcc0wMAAPINdBwAAPINdBwAAPINdBwAAPINdBwAAPINdHxE4E0XAICUgLKMDug4ACANoCxpgd88AgCMBihLWkDHAQCjIXPKQvz9hL7q97Uiz52Zj6F1fnS/82n1e2KFQcRypXNb/wAAIEL+7RUVoymPhBHZYZYTeekORSWN7V9nFpHpIf0DAIBLRiVDqXFJ6XhgJt48iLbKmw0/BU78MfwDAIBLRiUjbR3XudXpuDliRitm/AAAYEVGFYR+wBI5TPa5itGeCXQcADAasqsg8hMGjg5ynksMqeNpPFex8q/L0bYcAHA8yO70Nj6qVpb32VJOw+yX04scIXHI8Q8dBwCIZHd6Q3oAAIBD5rQyxrIXAABOMpBLAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN9BxAADIN8PqOP0BbJzPO47RKjZpf1xcvHzphvInSseLivkJzrbOE4cfw9FeJ8OfFwCSwqDCxs+SH17HZed0j8MQIx46khj2toENrxdBE076dC0To3N+vnShrlNlFSdIY3iETYyTC0AisK4w5qyzneQFlb4oCxOhwF6WDtlFDAO+rvHFiB8V03KY7oZXPb6HPuOKGua6ld0a7VO96gCIOTOZamslT7rCRNDN4UQ8M2eyXGulF3LkSmMORC7GqhhnnCjkx2llr9wnRlLZEZEmx2BIewD4sH5+lKfKMLOacM5XHCtkPylNqtijoYwwMg5KXeN0wU+WYxlj6Kya0GkSWhypUl60xkvLqPXKSzT2qQEgEezmrVHHh9RlznywhTNj+zYPf4Opa2Uf9CjHQ6cptjIOqdKVrtA2fk5DZu/GfHUlkX1dpzoPxqFmJiW74nRhOxQAMIkprPyJYRdN0jpOO2ROOWYYzKEQd5i6STsxxsDPxUoTmRC3AZ0B4UE3UPy8dENU0N9liVElTiKdCAAJcsQ6Tk8DYgIbWzEnEj1LmVnINrqOdKnRnolhl/uVu7Dqi6jlGPCb6KKi7Y2thrxOdKdJvk44V5etAQDx4P5E39dPm2DHav7IPuXDxOH75yhLUEskaIyB41w2Vp4UXdjMXCKnm4iHc2aNPeqiou3lfI1jzsnL2LvS0vbqTfvyBicWiwcLRo2Qm9te2XnU8Ugrq5QJKQz2h9fxPu90WOkd4YFTaFvOyVfZSh5twr6vOiO0Z+UZ1LVVlkDcwfDE0bW+fl7JhbQg0tMg8auc6c1KLAIbZiujQChLmENE7xOJ0KeJifFiiFEeyZEjjn1SH+mLyph70Jw43VYnFzoOhid5HdcpGn+GEP0OSSI6HpmxfIWVC2VvnJiJ8SS8EaeMGYYxTb5+KQs5eclxRloxlVGUYz66+IkquhCARIija0SVbioaL+LYDa1gznC6xHY0IodW+mVrr5S2/qC6cQY53rAPqeMcD7oE+6p85duMTpSNARgtieElypl3HQBo4uiaslapFDopiXjQNUz8EmfeTuhCzrqMr/W29sxlIBEV87YUY/CHv9/TzfmJGE9KgrcWscR2MKHjIBHi6JpYZVwVylVBrXwRG2fakDDvScoq5VKOUJYYU1pZQvu01SZd/FahGuOkvcl3dx26LoyyHkPHmZHouhN7Ia5qANJgqGlMSFK8azftK55W6iG90SJr7Ig2JoaUkFGikHmO+GZGmyGhbwOysazChDQzu1YGY3WWAUgDXG0AAJBvoOMAAJBvoOMAAJBvoOMAAJBvoOMAAJBvsqvjVu/rIMoBAOB4k13tg44DAACH7Gof8c5cq3IAADjeZFT4dL/bYlsOAADHnowKH3QcAACYGH4vX2YE5X3NL2HHKAcAgGNPRlVPVvZ45QAAcOzJouqJWjzMPgAAnASyqHpDPkuBlAMAThRZlDzoOAAA8Mmc5MkveOpeCKXLjyZ6AAAYOdA7AADIN9BxAADIN9BxAADIN9BxAADIN/8Dat/NkDD8jLwAAAAASUVORK5CYII=" alt="" />

三、使用模板

  1、从磁盘加载文件

    setting.py:指定模板文件路径

  1. import os
  2. BASE_DIR = os.path.dirname(os.path.dirname(__file__))
  3.  
  4. TEMPLATE_DIRS = (
  5. os.path.join(BASE_DIR, 'templates'),
  6. )

    说明:如果TEMPLATE_DIRS中只包含了一个路径,则后面必须加上“,”,在

    单元素元组中使用逗号的目的,消除与圆括号表达式之间的歧义。

  2、views.py中使用模板

    1) views.py中使用loader从模板文件路径中获取指定的模板文件:

  1. from django.template.loader import get_template
  2.  
  3. def template_use(request):
  4. person_name='jimfeng'
  5. ship_date=datetime.datetime.now()
  6. item_list=[]
  7. item_list[0:0] = ['aaa']
  8. item_list[0:0] = ['bbb']
  9. item_list[0:0] = ['ccc']
  10. item_list.reverse();
  11.  
  12. t = get_template('template_use.html')
  13. html = t.render(template.Context({'person_name':person_name,'ship_date':ship_date,
  14. 'item_list':item_list}))
  15. return HttpResponse(html)

    运行结果:

    aaarticlea/png;base64,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" alt="" />

    2)更简洁的使用模板的方式

  1. def template_use(request):
  2. person_name='jimfeng'
  3. ship_date=datetime.datetime.now()
  4. item_list=[]
  5. item_list[0:0] = ['aaa']
  6. item_list[0:0] = ['bbb']
  7. item_list[0:0] = ['ccc']
  8. item_list.reverse();
  9.  
  10. return render_to_response('template_use.html', locals())

    说明:locals()方法,返回一个所有局部变量为元素的字典

    运行结果:

    aaarticlea/png;base64,iVBORw0KGgoAAAANSUhEUgAAAVsAAAF+CAIAAACjzC4/AAAgAElEQVR4nO2d3ZMcR5X2+3/iBvsGIsAOAjZsA4EUOCwBEiE7CIxhzcUCF1wsoHdfLmwMEuvF4MUjIGJtB/HuGkuGCEBYM9M9ktHXSGbtgHCEZnqmP6v6cyQcdL0X9ZHVlZknT2ZV9VTPPD/GM1WZJ0+ezMrzZFV3q6ndu3vv3r27d+/eu3vv3t3wv7v37t0Ni+/duyf+3Lt3725oEhqFNvfuxoWR5d3UYUholPiIm0edRk5j//dSjdP9xKElLe6GJkm0STdJNBgahoah2Q6ttre3t7e3d3dPJlt2V2ulKFeZuhkJ27vaIDK+7uoqdGUYmt6hm5GwxdCWa2i16d50Ot2b7k2ne3vTvene3t50b28vKtjbm06ncVlUOw3/7u3tTad70+l0Ot1LHERloVWqcWQo6pK/kae9qPdp1Gi6F/+ElnHH07ifOOKpsJvGAwmt9/YwNAwNQ7MdWm0aM0n9l2UiH000BtliTY2+jcFSOp5MptNJXKz2iaGpA8PQOG0MlgdtaLXpZDqZTCaTSXIQ/p0mh2Hsk0nodTIRQ47qp3Ptp5NpfBI7jDymXQqEC1EfH0yjzmKjMJBp3H0UzCQTR9R86jy06XQa6X8szKm/sdJPhZmwS1XMuRD18UFqTwm3jETsIw2f7gmHe/Pto30lHVocSCoOsXGI7WQv3SWGhqHJQ6uNJ5PJZDKOMmY8nkwm4+RUFIzDk/FkHBsnNnOncfU47Ws818NYmI0jl3Nl43Hc03gSdxiFFDZOHI7HqQjGceDjVInt0EbjcaPRePmVV86dO3fu3LmV1O9zK9HRyrlzKyvnzp1biUui+nMrUXFUuLKycm7l3FzZysq5uPjcStR+JfK6IjqLeziX6jHpaSUpTnUch5MpSDyvZJtgaBiaemi18TyTsZoJWUu35RuERhozfeuJ8iRrzxnan//856tXr/79738PADiU1Ebj8Sj8bzQej0aj8Xg8Go8SxuPoZBwfRlaj8Wg8Go1Ho9F825HwNo6KU4Zx7TisH8eOxnEfyZ9xuv9x7FN0nbRLNUlGMko14g9tPJn86U9/ev/99/f7ogCwb9RGw9FoNBoO4zwZJr9Gomg4HMYmw6QsOpj7O98ww3DOYN4+Pog6Gio6UHpM2om/w8S15dBG4/Gbb76531cEgP2kNhSMot9RTkXHUcVoKI6HybkoCtMqZZg4m3MuqtLO46qkNm2XOBG183EkNnFqixuBuRajMT208WgERQCHnNpgOBgMhsPhcDAcDIaD4VD8Fx1E++1wGFkOBsPhIDEfDAeDqOEwajgMqwbD2HFsGncQexgORqPRYDgcjkaDYeItskicJp3Ep8lx3EMc5uUrV7773e8eP378k5/85PHjx7/3ve9dufLWKHQ+Gn7/+98fjkbpoQ2S6IaDwWA4Ho/evHRJnqP3339/RcVgMFj8BQOgVGoDJb74s76+/utf//rq1avD4XDgh4X+nJW+vbbYj5J6bW3tlVdeqdfrw8EwU8twFzEcDpvN5tNPP33fffc98MADDz300COPPPLQQw999KMf/eAHP/iNb3yj0+k888wzH/jAB+IhqPsYjYaXLinuEcbj8UsvraRLptPp2bNnX3oJonAouP3yt7995mJnv8NYDDXf9/2Bn2YwGERFA391de3C+fOXLl164403hqLCHwxiy8EgKol+Bhln8f8Gg0yN7/u+//r58/X19fPnz6+vrwuDlGFYOBjEXfpzNuGvVqt19OjRBx544NFHHz127NipU6e+9s9fO3Xq1LFjxx599NEHH3zw4YcffuCBBz7+8Y8Ph8NUy9DrIAl+NBxeUt0j+L7/85+/FATB3//+fvgzmUzOnj0bBMHPf/4SRxTeffb+Wq12/7PvKssjTr0elb5+qqZAbp011ljYmOlDneP2y99OePm2riqbRG5VQRAEQefiGamnxbG8iuAwb7UwvzzP9zzf9zzP8724aG1t9cKFN65fu7Zer7/99u0weaJ6L/rPD9v5ni/Kfd/3PC9J6vjICzuJzDzPHwz827duNxqN69evv/HGG+vrdX8w8EQfcWvP93zPC116UY+hJ8/zfX/wL9/4l0984hPHjx//2te+9sc//nE0Gk2ne8Ph8A9/+MNXv/rVkydPHjt2LPwdyUo01CTMqLfBcLC6uirPke/7L774n0EQJP+CJFGEIAhefPE/CVFIZ3cmzV4/lS55/VRaFGQnyqrXTwmv7z57vy6TeWZEqGk6F8+k8uP2y2lRSKfOvJ1jVbrPqJfbLy9cG3iKsA+BmXAR0pqnYXV19cKFC9euXWs0Gn/5y1+Gw6HOMg+DweD27duNRuPatWsXLlyo1+uhdPC5fPnygw8+eOLEiaeeeurOnTuj0SipGo1GP/3pT7/4xS8+9dRTTz755PHjx2nnw+FQpwg/+9mLQRBE/0Ls7r3JZPJsip/97EXTe5bppFTz7rP3q/OeXfHus/er+mCacUPNLPxUtmTXX+fimXxVyiIoAhvFVJqp9WM8r9/v971+3+t7ly5dunDhwtWrVzc2NlJyEN1LeF74J0yvvmgXOer3vb7neZ4o8KIC3xMbvhfdkQyGw1u3bl2+cvnq1asXLlxo1Ou+53siosRj7Ev47Hue93//7d+OHDly4sSJ3/3ud4PBIDLxPM/znnvuuUceeeRLX/rSU0899ZWvfOXYsWO+5/dTpGP0+v3hYLC2tibPke/7L7zw0yAI4s+o7nW7ve3tZvLzwgs/HY/H5DzzFEFloU1gWSmUnTDNqOq5jXs+g1Nn8oaUZJJbldr224rni3RFqmmYo6Iy60R0G3WR9qNWvUxnkZFtYCqyw54/F49Vc3NF+nd72Kn1+/1+r9fv98P/PM9bW1s7f+H81T9f3dzcvHHz5h//+If/ee21V1999RWJt956S6Rtr9fr96LDfnwkjr16vS57ePXVV3/zm99cvHjx5s2bm5ubb7311oXzF65cuZI4jcKK3fRin2HUntf/8pe/fPLkyS984Qvdbjep9Tzv+eeff/jhh7948uSTTz4ZKsKpU6e8vtcLfUax9nrCW8/3fZ0i/OQnL8xms4mK2Wz2k5+84Ps+Oc9GRdDdCegbylKhFA+mGdVj5lY+XIZnLt6O/nZE8fwCTErcqiIyC1vaiufq50IN0yh9L5JKqbnnnSjh5t3M1QpBfFnZl1VgKghFmKu6fTF9t0T4d3z1o9br9Xq9Xr8X0e/3z58//9Zbb23GXLt27fLly43GRmOeNy+9ef78+TCXjHj9/muvvba2tibax/4uX758/fr1pLuNjY3f/va38277ye/+XEmv3+8/8cQTjz/++OOPP+55XrrBcDSczjOZTDTRRoWDwWB9fV2eI9/3n3/+P2azWfxxyLmf2Wz2/PP/kVMRdK8iaJ8YlC6V1kwzdqhBMPdCoLTPpsyS/d+tSrhNJ1rmvHPxjLxtqjIp+5rHXG2mKhOFNrfmYrEITIVeEdSvBpj8uz7E1LrdXq/b63a73W6v1+32+/3r16+vra8lKdqoNxr1er3RqDfq9fio0ag36o23//J2v98PG3dDL71et9eLzkLHvV6v1+33+5ubm/X6ej1006jXG41Go15v1BuNRqNRjzq7ubm2tnbr1q1+vx9FFProdkNX4WHyq9/vP/3000888cTRo0d3d3cSy8h2fmjhrzCyJD5h1ev6vlYRfvzjf5/NZtGnJOZ/ZrPZj3/873kUQf9iH7mbq1NdMmea8UINVI8Q0cJT5/aZix3XqqQDaecVBZn79Xmd0r/kke1HkfO6PXr+nRatIpCBqSDuEWJf6WqDf/c3Z2pdCc/zbty8Wa/XNzdvNhqN22+/PZj7KJD4LJLv+91up9PtdLrd8Fe30+3IHrvdbrfj+36qacrJYHBrc3Njo3Fzc7Ner9++fdv3vG630008dZKD9Em32+30+/0zZ8+ePHnyyJEjL7/ySi/M+W4nMQrvI8JbA+Ej8SWijyKs1+vyHPm+f+bM2dls5nkD+Wc2m505c9ZZEYi3CAy5ubjXEdLo743LeB1BsbAViadb+SUoQqgG6ccJShFsUpJ+HSElAdSNg3Pvglqn0+10O51O+KvT6XS6va7neTdu3Fhfr1+7du33v//9xuXLvV4vMkqMo3ZxQTcpztBNirpJc1HSrdfrv//D769fv76+Xr9165bvecJr4kHlN2x//fr148ePf/7zn//Upz719ttv93q9xLLX69/cvPmZz3zm6JEj7733noi7k/otQun4A60i/OhHZ2azWfwC6tzPbDb70Y/OuCkC9Zaj6eZe3uuJ9xoYZoZQI6gEzt4WZ95QsK9S3mjTaW5hmlUEvS6JY8VrjLqnBtvH+OzMqtuLQCn/Tm8yRNQ67Xan02l32p12eNRut9udbsfr92/cuLG2tnbl8pXXXvvN+tp6L0qe0CJu0e6E7Tvtdieq6CRVkVVHOG4L+06311tdXX3ttdeuXLmytrZ6a3PT87x2J6zudJJuohDbibck5E6n0+v3nnnm2RMnTnz605/+xD/90y9/+cvt5nav19va2lpZWfnYxz724IMPfuQjH/l///3fXeEyahseJj34vqdThOee++FsNutGTzBzP7PZ7LnnfuigCKQc6ARhvpH0QYO4xslMG2r6QWH+NTfFpxM027tLlXLRq/fOuc1ZuYWbFSGT3aqPWaTLo01b+WEMQ2BKFC91xkqbvJgpP0uo/Of6RFWt3W612612O/qV0Ol0+v3+jRs3VldX6/X6+fPnu91uXNlKWbcyf+do6ava7U6n+/rrv9nY2Fi9tLoZygGH1pzTcIP/5je/+bnPfe7IkSMf+tCH7r///o989KP33Xffhz/84SNHjhw7duzrX//6zs6O0bHv+42GWhF+8IPnZrNZp9OTf2az2Q9+8JxOEeY+lZj+cKKqIvuJJeaHC6QPPbqZaUNVv9egfjLWvH/nVKVb2PFzfOadgW9nSu2fGm5rIpQkK+5I0QErMA1zb4xKL3wqvKj95/uIZa3VarVa7Va73W61Wun/Wq12u93r9TY3b62urt66davT6bbD4lZC0ipd2o48ttLl4d+2sGi1Op3OzZs311bXNjdvef1+O2MeN2inT4SPpLbV7XR2d3d/+MMfnjhx4rHHHnv00UePHj362c9+9rHHHjtx4uTZs2fDh4L00ET87Va71Q779Tx/o9GQ58j3/WeeeXam55lnnjXdIwBrFvmJn+X9nLJMznmr7bZa4U8r/L27G/5ptXZ3d1ut1m6/3/d9r9frtaLa0KC1G5klDaP/RezGR+kOWrut3d2Mc8/3ev1+2rWIR3iLGs/92o263G21Wu32wB/cun37pZde+s53vvOtb33r9OnTv/jFL/73nXf8waDdbiuHJly3Wq3dXc/zGnW1Inzve6f/9V+/o/s5ffr/QBEKZrH/kmGBijD/TgX39oFN7nmr7cq0FGVSTUtZrC7lYmrRkk5bSWlrd7fVbrfDT0aH/6A6fAxh9hApguoeYTwev/fee3/961/fUxGWmz6zCCrNQbpHyEltd2d3Z3cnzIqd3fBoZ2dnZ3cnZDc82t3d2Qmtkr+7u9HR7m7oIrTejZoIV8LD7q4o3o1t48Zp13Gr2FXiIPwJD2OPkdM45NjNju3QPM9rbGzIc/T++++Px2Nfz3g8xnexLTVQhIRac2en2dzZae40mzsxzdTxzk4z+ZUpMzPvp5ltRXhpRr+bO805w6bUSOGkmcRsNbR+v3/lypXZbLbfFwWAfaO200wSL8yW8KTZ3Gk2m81mWNwUVrFNVBVaxbbNneZcUVIuuUzSNamKvKcchcnbTCW2CCh2knS0kxzspAqthtbtdt9553//9re//eMf/9jv6wLA/lBrbje3wwTZjv4L/2w3o5rtVGl0EB1vN5vb29vN5vZ2urQZlW8nTmPfKbNm1HS+26Qq1VvoP9X1dsZwOxNmeC5+8Ye2s7Pjed6777x7+crljY1Go7Gx0WhsRDQ2GhsbG42NjUYjKmxsJH/SZhtR07hqY75K+AqdxScZj7HbuNOwohEeNzZEq8Zcu0Y60HTg4riBoWFoxNBq2yKHm9sJYcaGR+nypH47yujtZnIi6uZNm4l9ur0oShpHfaYcCffz3pvpg2xYKXvroe3s7Hh9bzhUffEzAIeA2vb21lb43/b29pbIja2tra3t7eQnqtza3t6KquK6ra2wZmt7aytpH9bHZpH72HR7K/YlOopaJZ7TCLfbwsFWfLwdhxF1EoWS9IuhYWgYGn9otTD0sI/0X+IgKRDH28nvbbk2abc9Z7+dtYtHnyrdVnjZIthWnWBo2fYYWhQ2hiZKo6HV7mzd2dra2rpzZ2vrzp07W1vhafQnOk+Oo6o7d0L7uEXSNiqLKqPGkWXK452ky610h1GrO3OdxS3jLpOI7ojQokbp5nfuxMcYGoaGofGHVrsT9ZFmK1M4fzhnPWcWhyNKo1jmPUUDSaZ0vo+ttGGmZXyeCXgrbbmV/ouhYWgYmtXQav/1Xy/jBz/4wU/4U9vvtz8BABUCigAAEEARAAACKAIAQABFAAAIoAgAAAEUAQAggCIAAARQBACAAIoAABBAEQAAAigCAEAARQAACKAIAAABFAEAIKiMIqyfrtVqtdrp9f0OBIDDzLwi7PzqqPx/WKzm6K92dD6FF8IoSERgjkOiCKqh200yAKWgukdIlqu8IFMrWbta51Y7M8MTETkcipAdbjJl8fDjgsMxHaBCqBQhWa/qpDeuVu49gpVTdSdLmjHhaMXsSIogm+wLSz3JwAkHRQji5VrkSrFWhOJDWBxS7ApFiK7C/krCMk8ycMNNEYrfPGwVIYpxKRerPHkqRajABr3MkwwccVSEwrFUhAP2nK1UhH3ngE0yYGGnCOuneQvEfnOxWX2ply5LXKxRLwtRxQoqwmImGVQOK0Wg7mNVb1wWqwiMd+yo9JWby30pBhG7zDQvNktsFYEzljmUV+f0aXnKck4yWHpsFIH7ISKXtxLt7lAte5ATjniDNWNx9Fc76YGLjCnjdVWGU/uxpEcSkRII02tFBY8UVB1SEdTwV20lFCG2zS59QyIleXR07gGonNdYuIrgMJaoibaC8SYyFOEwUcY9QpUUQZdDgSm507fPpd8n8xTBZSxU3hve34QiHEoKex0hTXUUgUgigyQIRVjAczNLEdzG4v6GARThUFLKew2VUQTaTjwdKaoVT9/lwVEE17HMPQPajAaKcCgp5fMIlVEE5j8oWgpFyDEWxStDFi/AQBEOFYdEEewXdXUVIUeCSsrAeUqBIhwqDrYi5BhJ5RShyHc50sqA9xpAmoOtCDk21sopgtNYqH+qZBohFOFQspyKoDbf+dVR/WfwqE9aquqqpwguYyE/Tm76nDZ7ksEBYkkVQfVOnCa7iTyi3pCvoCI4jIXc502fL7GYZHBgIL9DyfHKOyiKdROpAef+OF1v+sjeQv/xkflD1bIpbyzpdyjmqjmKZzXJ4GDA+J5FXpIaPvpMfwhIje2/3mF94I+MKffnt23RdGj/75Z0Fyn+KqZfqeba5i3I8uYAVIrKfBczAKACQBEAAAIoAgBAAEUAAAigCAAAARQBACCAIgAABFAEAIAAigAAEEARAAACKAIAQABFAAAIoAgAAAEUAQAggCIAAARQBACAAIoAABBAEQAAAigCAEAARQAACKAIAAABFAEAIIAiAAAEUAQAgACKAAAQQBEAAAIoAgBAAEUAAAigCAAAARQBACCAIgAABMutCLUaN36+JQCHmSXIEyKZlVW6wjTGKsIegAPMcqx1XU7yy5myklYETlsADhiKzFn8rmjsMaytkTjbQxEASLDbe0uMw6lHpRAoT+kqPDUAELI/imB1V+/sR5n2fJ8QAnAIqbQiKLduvh/OYwIdG0QBHDYsFEF3ax1odmCru3HCT0Du/ET8xlY1G5QdAXDAcHytXhYFuZzvjfBDe+MrQqBSNGZDAA4PFoqg2/OVDR0UgX9Klxtj07nKxEx0CskAB5W87+fTm7kueUpSBFqtdH5skx+KAA4wZSmCcUNm+qHt+fcIaXvdIw8RLSQAHBIKeB1BZ0Y8txdyj2AUKaUK0HFmxEIZPwQCHGAMrxfoqjIl8ilnk+f4CTQpTQ1JuhGg41Ee6wwCKAI40JS1sjmbvK2fGkmmiU4RZIGwVQQADjAlrnXdvcYC0CW2MhilsujkBoCDDdY6AEAARQAACKAIlYb5wKJ8FCq7i2L9g4qAq1V1OBm1X4pQtpqAxYNLVS3o91N0763IVVb2nJdR+aJjGz+oFLgw1YKZKjXpzZSa6u1SpbdMIX1qa6aLhG7CB8pSNpjQCuEsB+lTY+rmVwQ6zrIVoViHIAPmtIo43Glzbgdo53Qv9H2Hlf88mQxFKBvM6XLAyUOHVkwbvllQ8j1CSd5AQiWmNdk3lBuIvLekT+VtR7cd6fwonXDizNgTcTLjIfplGih7pLugq/goHeqO81OsN5Bg+EhvcrEXU57EkI4nE14m1Ey5zp4ot1q1Ontjv5kDYlxyj1Yh0W2V86+8IkpXxmAC1TUi3LpRoCuQoSozS2esclURC9fKP6e50Y8cra6jJLXkcTHTVfavmxZ5OG4lyoHosE1XB7GAIpRHVWaWmbFEk3S5UT7KUATlMaEIdEeckIyjKEMR6JCC1AAJIcvYQxGqQ1VmtkBF4PgpXBGM5WUogm1UQe6nBk5UVnrkBhShPKoys8bN1lhF21dcEYoSPmN5/nsEWqxtr1eAe4SKUZWZJTYouYrY0JhVmRLlKREkfSoTpNa90p6eGaKWtsnTVmmmnFLaG3NWOTEQvYCiqMrM4hrLKJOQsCyqrc6M0B2OXjhkPlg8lbhCnK1ykRBb/eIjcTbL09bZLDBdzapda5ABFwYAIIAiAAAEUIQF4XyfjBtssEiw2hbEAh71AcgPltqC0L0doLTkUH7I4DBSoYW1LwudSLBi45HfmeNY6o5zRgJZAToqtCb2cY0uWBFot6UqAl+YwOFkORZE2Qu3wO3XWGXsq9RHBigCoFmOBXGQFMHKSRlPDeU5BAeAqqwJ3e5H7I1yufN2SvRLhEp0TcSjQxmM7jgn/JkBhw1DBiZLp+zypHd1lKYX6mupJNQdULOQu19jX8nwrYLRTVQhQBSATLXWhFVmKrNlwYrAr+XHY5uoecQCogAyVGtB5M/MshUhIN+94yiCMSTiZoqIh3Bo7AuAhGotiKVQBMKAqQhMS9s7FA78MMDhpFoL4sC/jmAMjHBIBMlPbP6tCjicVGVNONwby/bp0/SBQ7+25UScSbkcjHJQugjpIRBjtHUIDjNYFguCSEKdeCnFqNQgATgUK6ymYcEx8C2N8gFpACWBhQUAEEARAAACKAIAQABFAAAIoAgAAAEUAQAggCIAAARQBACAAIoAABBAEQAAAigCAEAARQAACKAIAAABFAEAIIAiAAAEUAQAgACKAAAQQBEAAALz1wEby21tHOyV30dq1ZFtK3xtGTicFKwIGbOiRMRKEWyriK9UVn6pobJqH7/BEYACKUAR5IQhmui+BJX4WlRlFWGffwiEpW6A9KgBWBao3U+Xe8z0U1Yxs0XONGMeys2ZimNrD0UAB5iF3o07y0H6lK9HxpCIU7pKVgpCbgBYItRJa5vMTEVIVxn37ZxdMJ0Qmz8zt3X6BcAyot4JdVsfkb3OdwRMY44iKLdufpC6AfKlCqIAlh3z6whJlcFRcTfzhAFToYidn/BvbEX0TscDwLJg/fYB5ctpt+TIAZ3J/Ej4ihDM5z8RG+EWgKWDlVH8DZDOEIc9VnbIz3BmeaYvo5P0WHSnhCUAVcaQurpaymPuV/vkKl2u5lQEpfoY/dgmPxQBLBGs+2TOtpyutUoAjnF+RSACU3pL26cNmNFCAsCSYvfuI//ugJ8SDorgVm40VqqA3Fb3dEPoKQQCLAsFZJSulpkGhSuC7X2KfCMgN9eJHXF/kT6FIoBloZi91+q5OuPNTRHoe5l07zp0rowCYasIACwRBbwyZ+6DlAxjc51ZgYmnS2xl5LZPDQAsEVi7AAABFAEAIKiWIhTydJDnpUqjme3Lq27lthhfrGGWL/h5R/mwprPhe3PwgAe9hGpNRJ5lylletm5tFUFnUJIicF68kF/6cYizEIjJ5CgC/fIw4cRhPSyvQOR/GasqI68xPkGULpFXhnGtMzH2Quchp4RTxRkCp4ncC3Oq6clxQxmJLhii3MqYWV5biCIUMlLaT87gq6sIxhUpnxL2zGmS16jSCadrHcQQZFe0MXMsymOlN36hG+kJdJgcwq3sJ4//ooasvL78HosN3jhFkZl+OAvFYfA6M/5l0JkpPTuvV2VHusVak1LXrUfjJGQ6clt8OeFcMttrl7+qwPFa+TcaG6+LfO2MbWX/FVKEwH4GlYuYXgFENhKBMQsJn7QfpiLQZBoqa+lMKztDdJ7d8lk2Y047XVvgePkrgROMLquZkShPFWuM77Q8lOuVXvclzRTTgH/xmBloNS6rdaxbkcrykjJEKVuBaUQBez04rB9idEUlhW6eiS7oYJxDJczkK1IJRUiwCj19zF8BzO4yBhz/ymN60dNmuiFbrQydsbKcmTPOJF0z55OZTsyLQoTEt+ejm2eiF3pofD98M3n45sklrmKB5ZneWaFrskjngT9NchectspBKYOU/ejGouuUqFIGI49FGWf6Nz1YN3SelfHruibicYucmNg8GEdHR8KJzWGAdBUrcxYArQ7yslau40C/rHWuiLRROlEe0wbEsjCaEeubv4gVl1ya6kA/dUb/Vug8M8uN8RgvOt3QOJNWU0H3q3NFT77cihMSc8aC6ihCwLgknBkkljXfYVDESi1bEQL2jOnM6GiJfvNgK2oOikDkrZV06pzTNkpvUAR3iPEbZ5CZhEaHnHh011jeFspTBOMQMlpg9GZVGNjvmYF+dDkVQbcbc7pI15akfTrP/E3OzSrxrMoAABAqSURBVA8nniVThEAfuly4AEWgy+n157BLcxw6CCVzCHRhkE8ROME4BGk7S7JDejvlj7cMRbCaJQef0VwZfS0S+noQJbaTSFcZbUpVBOWOZ7X7Fbj9Eh7oKp2xQ5Oc8dhuDPkVMHP55Ktp7CjTkO7aLSqd/yVQBOVKyjNB/KVpteekqxTSS962ZU6VNsmxMiqrUOkhBNJaUa5L59wmnNNX2XjhbAdL2FuNzhmrgB38OLAEiiCX0+N3S3W+mTFIXXIyT4lgjAPPqZuLSQM+xplk1srTwlwkZU8IFAEAUGmgCAAAARQBACCAIgAABFAEAIAAigAAEEARAAACKAIAQABFAAAIoAgAAAEUAQAggCIAAARQBACAAIoAABBAEQAAAigCAEAARQAACKAIAABBAYrg8N17bl8rpmzi/G1/RVkCcJCgvnnS+MWYibF8TLcqUBGsvPG/XJD+OlC5yjhLACwFdl/8qMxtpWrQNw6cHDPEbflV6LblTFmpqW5VoAhgecmbOYFThrjt8HyzRJUInO2hCOAAs1BFUN5K0OrAhzVa9rek01Vyvw7BAFBBilEE2wxJ5EB5yorbKet0kSiPmbldU4kgAEvKPjw1EBrBx6hNuq7p4JUqRsfGtwSg+pT4XoPSIFBtv/Q9gu4ehBqV6bFfaW9sRUwLZ6IAqD4lPjUoW6VzT5mHzK7LVoTMuOiOkP/gwFDiU4MyozIpREgM3TVfEfjx23bB1zJIBlgWFv1eQ/og+c253zZqhEP8xH0N4cc2+aEIYInIpQhyMierX6kIyhLmzpzTCXF7T6iYfEfDyW1IAFheCrhHkGuZ+ck0Tsrlmwh+j7Tn9IFSOzKdysEQtzkQCLBElPLUUKAi6NKM6JG4HeB44CiCfEyPCIoAlgXzhkzsfgEv2402tl0oo+V4VvZCK4JOcTLHhCIAsETkfR3B2FDpin+PwCRnEtKCIhvLykKLGgDLAtYuAEAARQAACJZDEQq5D8//qK98uCB6KS8kpnH+JzJ6yFYv+jA9WDUHhbMcs0y8rmF84VDphPP8Tyx3zrrnREUrAp0DnAwpUBGUzXMqQs3mXSEowmJYjlkmFIFZrstPqxVvVATbVUuLlDF+o+jQTpwjVJ4ShcbmHFf51Q1wqMq0Wq1st3Jd+hGt5Cx1CJIg0zuRqA4JLPvP7zBdrpwKZiEx1cyA8yhCJhJi2vOgWydJ1eL9051GE5IzrJLIXC3bJDROR3qxGr3RrYxVSj+cJAlS82D0mYlBdk6MVDnPOnQedIXK8NyCJE5t0XVaFES0VkulKP+Zy6d0WKu+IuhO3cp1K1suNEZFzyztRGesi5nvTddcTkW3CIlyoyI4DORAKkJRo3DzT1/NyikCkW9FKQLdl1ImmBESHgjRkU8Je8KnclnrCpWR62DOsLGv9JoLNDPMmQ1ivFYkHvK74vSlPJZP3XwG+pXJ6S7TtkKKEGj2tIBcl/zlorwwxNVKx8PpiNMvPV4rjK10KcecTLoXzookrmN2FTLmoahcSprrFEE5CcQpp5eSRiE7ceguey3kauWiL7ucHoNu4qzKlZ0Ss6kLhrCkZ1wXkjI8eWb4bjPxyLERzunLkfGgDFWeJeUy0MVJj6goiJlRdsqcFqKv/H7y+6dXeK2C9whByYogH9MZaLs+rBRBl0jMEr4iEIHxh8w3IzpVTrscLadHpQE/weh+mUrHpxBloT07nAaqC1ctRSCuEGHPLDdeXX4GOveblBh3J048OjnLjC75TcsfPwy50Hngusy0nY20cw6EIhgvenUUgTMnRnvWstgvbCeOWa4Ytn1OFqgIOp/Gq8OJgWnvpghWFyhtnBlRGYpgBbNfuYrZqc5PgYrAWWxW3dWqdo9QyPKlyzO1HAXNHw9fEYwNF6MIsh7pMpn2RqSTUpdzKoJSQ3U4KIJVFxyfGRsrdTAql2yjLJFrq6IIzBzOU27Ue+VpnutEB6kMiR9PsYqgFAK69wx075kSXVZw2tJDUAYvN8wogpycyqHZLgZiZvLIGR0k4V8XkuFCVorMQpRrdSj96ErkXuglQlwJZvDKHgnn+eNxmCLZILGhO6JHLR8wZ8M4hLIptcfFD0dJJYKgIWZKV0UnKrPEASu3/CCdY9NpirNPZivjdUkkIM8YF5ZCZQvQvqibjqrEAQCoAlAEAIAAigAAEEARAAACKAIAQABFAAAIoAgAAAEUAQAggCIAAARQBACAAIoAABBAEQAAAigCAEAARQAACKAIAAABFAEAIIAiAAAEUAQAgKCAbzR17Lic7zWz7TS/JQAHCYuvMOTIBP8bMnX+mV+/SQ3J8nsZdYW67pRV/PAAqDLc1HJOQtmPLr3lA10YRoHQxcMvZ8qKMmYoAlhezNsjZ3920Au3NGZmoE44dKOwsocigAOMOVfp00yVMpHSacNH51YOg5+B/KHRVcp4lMEDsFwUqQjaPhgvGRCeC9yTdZEoj5m5rQwJgCUl11MDc1dkbsW61OIrAn0rIZ/KfnTDZI4OogCWnWLuEeibZyLr0pZEGht9EkPgZGwmAN2xLnjdiABYOopXBKLQmPnGHuVjOh7iWLYnlEjZio4BgGWk4PcaaEXQ+U+byf5zKoKxnKNEylaZYIhOIRlgWbB45Yxjw1QEopxQhIyI5FcEpSQZ/dgmPxQBLBHFK4Ju808b6246aEulATNmjnzobkAyo1P2KIdtNAOgghhylSDTMLDZmZXlyipaAviKwDFWqoDcVqd6xORAIMCyUNg9AmFG7/xJWyIhla50lrQHnU+lLhD9Zo51BgEUASwVBT81KMs5G7u8CdMdGVM00EiPvI3TiiAPwVYRAFgiilEEq+ZuJelyvj0TXWIrtUmpLDq5AWC5wNoFAAigCAAAQeUUofAnAgAAn8olG+e9A87rhQAAB6qSQkR6K1/2C1Qv70MgAMhJ5XLG9n2HzPGhehdwMarH7wUqXAiFT6OVw0pcP+IpgNj26RuK4BAoQrCQMdqtp0Mw5wug8GlcMkVIqEkvGcinyvJDogj8G6j9go6natEWxT4mMLP5UiqCLpmV2c6xOXjrD4pQTaAIxUM8IxCKwHxqkG2Up5mSTEdWQ5A7ylQp7fnzkxmj0g/fPxEn4UEZEmewzHgCzcznmWddubJfY5z0uPjjpZtY+SEGqxtXxt7wEV15jsooT6rS0WcGQ5QrjwnjnH0poWOT3dr615mlnef0r4yT6Fd3rKtihkEHU9Q8E+VEd0S0dAlz/vlxOsTD9F+Ve4RAJRZJeWC5KGl7zgpzvhKZ4HVtdYM1+qdLMivbyj9hYzv5zFN+MJxx6ebZ1r9DwPkVYb/ikeezWoqQOUif0hmeHs5+KQIzSfgOOa2Y8bs5p6uUS2gBimAVZCAtDyv/h0ERspacDhYDX/5lM87EcSydrwRhfyAVgUg//ik/mDyKwPEDRRBVnA4WAxWlVOW28vh7Wialy1aEsq+0VbYwq6z2Xn4YsiXTv9U8V00RMjHslyKYF/oiqakI5vd2ztZEWPJXdro8mL9IVvHrnBP9cnqRIyRObSPnVMlmxnjk+JkhGasc4qf9EPHTATOHYHSiGx3Tj84DfRp1ze+jbJQDrs2vQt2kpIdHOLSaU0Agr/5S/YOFUaF55yQwrQg6eweJBUbc9i4rz8W6BRww6QAAARQBACCAIgAABFAEAIAAigAAEEARSgQvmIOlA+u1XKAIYLnAei0SfCYKLDtYr0UCRQDLTiXWq9XnrgPp+Zz5uK7zo/tco9Vn8mrzpMuVzm39A7AYqH9GokyY8sozYWQOmOXacZL/Zk52a+tfZ5ZJ+Jz+ASibCi1EZbYUpQiJWVqGiLZK2eIPgRO/g38AyqZCC7FsRdC51SmCOWJGK2b8AFSECq1L+vEhc1rsU4PRngkUASw71VqX8v0zJ6M4d905FaGMpwYr/7ox2pYDQFOtRWN8pFeWB2xRoGH2y+lFjpA45fiHIoDFUK1Fg0UMwP5SiQx02IoBAGWAJAQACKAIAAABFAEAIIAiAAAEUAQAgACKAAAQQBEAAAIoAgBAAEUAAAigCAAAARQBACCAIgAABFAEAIAAigAAEEARAAACKAIAQABFAAAIoAgAAEEx30HOr9UZlPeVamV/WZvbeOmG8nfMukXF/E5XW+eFw49hf9dJ/utSfagvINZ9WXB+RZCd0z3mwSEeOhIHe9vA8q+8pAln+HQtE6Nz/njpQl2nyipOkMbwCBuHi1tx7C6SXGW7XGqqlaosLIQae6vM2YWDAT9D+MuaHxXTMk93+fOH7yFgrKg861Z2a7QvddWVh4UiMPPWaqHrCgtBtxoK8cxcE3Kt1cqTI1cacyDGYqxyuOJEIT9OK3vlMTGTyo6IYXIMctpXAa02y5OeZ30Qzvlr1wrZT0mXx3k2lBFm5kGZIZwu+IPlWDpMnVUTephEVmeqlIvWuLSMqqFcos6XpuJYzJFOEXJmOGdmbeFc+8DmITlZBFb2SY9yPPQw062MU6p0pSu0jZ/TkNm7cby6ksyxrlOdB+NUMwclu+J0YTsV+475csrDNk6xXQRFKwLtkHnxmGEwpyJ9wMxA2okxBv5YrLKLCSEoOgPCg26i+OPSTVFNr9fErBIXkR7IUrAPikBPKLEUjK2Yl4S+3sxRyDa6jnRDoz0T0y73K3dh1RdRyzHgN9FFRdsbW+VcJ7rLJK8TzuqyNaga6hHSC8v5Ssg+5dPC4fvnrNGklhigMQaOc9lYeVF0YTPHkrncRDycK2vsURcVbS+P1zjnnHEZe1da2q7espd34RjWlnG1yc1t52gZFSHTymrIRFIlx/kVIeBdDqvMITxwCm3LOeNVtpJnm7APVFeE9qy8grq2ypIqy4TLzmZcBHRq0RNa+HwxvVktu8SG2cq41JQlzCmij4mB0JeJiXExOJRnxshJs4DMNHpRGceeNCcut9XFPfiKoMsN/lwT/eakEEXIXHt+rsqFsjdOzMR8Et6IS8YMwzhMfiYoCznjkuPMtGLmWDqx+ejiJ6roworjIpzKudBdbKpv14ZWMNcKXWI7G5lTq0ywtVcmSTCfJ5xJdpv2nIrA8aAbYKAaryxYuvQ2BmC0JKaXKGfq137hMkeZ6ZYL05bGSVFe+AJhChNdyNkr+Kpha8/cmoiomALnMPn5dw66OX8gxotSoEilS2wnc/kUwXiNjTuVXJXUytNhvGY5Yaqbskq5vRBr1GFxKEton7arXBe/VajGOGlv8j6hQ9eFUSAcFIEZia67dC/Eql4urG8dicXtNgtlzx2d8zm90elq7Ig2JqaUSEiikHmN+GZGm5zQgiIby/lMJDmza2UwVld5uTgIYwAAFAUUAQAggCIAAARQBACAAIoAABBUSxGsXpMnygEAblQro6AIAOwv1coo4p1eq3IAgBsVSifdp25sywEAzlQonaAIAOw7rE96L6A80Hxk1aEcAOBMhXJJ1gi3cgCAM1XJpXRW5zkGAOShKrmU80kBogBAIVQlkaAIAFSBSiSS/BKj7qVHunx/ogfgAIEsAgAIoAgAAMH/B0LGBzxAy0OeAAAAAElFTkSuQmCC" alt="" />

   3、关于模板子目录

      当模板根目录下有多个子目录时,可用过以下方式获取模板文件:

  1. return render_to_response('dateapp/current_datetime.html', {'current_date': now})

   4、模板中include标签包含子模板

     views.py:

  1. def template_use(request):
  2. person_name='jimfeng'
  3. ship_date=datetime.datetime.now()
  4. item_list=[]
  5. item_list[0:0] = ['aaa']
  6. item_list[0:0] = ['bbb']
  7. item_list[0:0] = ['ccc']
  8. item_list.reverse();
  9.  
  10. return render_to_response('template_use.html', locals())

     inner.html:

  1. <p>
  2. 这是include标签包含进来的内部模板!!
  3. </p>

     template_use.html:   

  1. <html>
  2. <head><title>Filter Test</title></head>
  3.  
  4. <body>
  5.  
  6. <h1>Filter Test</h1>
  7.  
  8. <p>length过滤器:<br>
  9. -----person_name字符串长度:{{ person_name|length }}<br>
  10. -----item_list长度:{{ item_list|length}}
  11. </p>
  12.  
  13. {% include 'inner.html' %}
  14. </body>
  15. </html>

    运行结果:

    aaarticlea/png;base64,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" alt="" />

  5、模板继承:比include更优雅的策略

     urls.py中新增的部分:

  1. from django.conf.urls import patterns, url, include
  2.  
  3. urlpatterns = patterns('',
  4. #...
  5. (r'^template_inherit/$', 'django_web_app.views.template_inherit'),
  6. )

     views.py中新增的部分:

  1. def template_inherit(request):
  2. current_date=datetime.datetime.now()
  3.  
  4. return render_to_response('child_template_current_time.html', locals())

    base_template.html:

  1. <!DOCTYPE HTML PUBLIC "-//W3C//DTD HTML 4.01//EN">
  2. <html lang="en">
  3. <head>
  4. <title>{% block title %}{% endblock %}</title>{# block:1 #}
  5. </head>
  6. <body>
  7. <h1>My helpful timestamp site</h1>
  8. {% block content %}{% endblock %} {# block:2 #}
  9. {% block footer %} {# block:3 #}
  10. <hr>
  11. <p>Thanks for visiting my site.</p>
  12. {% endblock %}
  13. </body>
  14. </html>

    child_template_current_time.html:

  1. {% extends "base_template.html" %}
  2.  
  3. {% block title %}当前时间{% endblock %}{# block:1 #}
  4.  
  5. {% block content %}
  6. <p>填充content块:It is now {{ current_date }}.</p>{# block:2 #}
  7. {% endblock %}
  8.  
  9. {% block footer %}
  10. <p>footer块被覆盖: sssssssssssss</p>{# block:3 #}
  11. {% endblock %}

    运行结果:

    aaarticlea/png;base64,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" alt="" />

 

django template的更多相关文章

  1. Django.template框架 template context (非常详细)

    前面的章节我们看到如何在视图中返回HTML,但是HTML是硬编码在Python代码中的 这会导致几个问题: 1,显然,任何页面的改动会牵扯到Python代码的改动 网站的设计改动会比Python代码改 ...

  2. django: template using & debug

    模板的作用方法有如下三种: blog/views.py: from django.template import loader, Context, Template from django.http ...

  3. django: template - built-in tags

    本节介绍模板中的内置标签:if for 承上文,修改 views.py 如下: from django.shortcuts import render_to_response class Person ...

  4. django: template variable

    模板变量用双大括号显示,如: <title>page title: {{title}}</title> 一 模板中使用变量 继续前面的例子,修改 index.html: < ...

  5. The Django template language 阅读批注

    The Django template language About this document This document explains the language syntax of the D ...

  6. Django Template模板

    Django Template 你可能已经注意到我们在例子视图中返回文本的方式有点特别. 也就是说,HTML被直接硬编码在 Python 代码之中. 下面我们来调用html views def ind ...

  7. Django Template(模板)

    一.模板组成 组成:HTML代码 + 逻辑控制代码 二.逻辑控制代码的组成 1.变量 语法格式 : {{ name }} # 使用双大括号来引用变量 1.Template和Context对象(不推荐使 ...

  8. django.template.exceptions.TemplateDoesNotExist: rest_framework/api.html

    django.template.exceptions.TemplateDoesNotExist: rest_framework/api.html setting文件中的 INSTALLED_APPS加 ...

  9. django.template.exceptions.TemplateDoesNotExist: login.html 错误处理

    登陆Login界面时候报错 Internal Server Error: /login/ Traceback (most recent call last): File , in inner resp ...

随机推荐

  1. mac地址、IP地址和端口号

    看了很多遍,才整理出来我对整个通信过程的理解,大致如下,后期会不断学习补充更正: 在利用TCP/IP协议族进行通信的时候,有三个比较关键的确认身份的信息:mac地址.IP地址和端口号. mac地址是在 ...

  2. 使用paramiko模块远程登录并上传或下载文件

    1.paramiko安装 1)安装PyCrypto2.6 for Python 2.7 64bit.地址:http://www.voidspace.org.uk/python/modules.shtm ...

  3. Unit01-OOP-对象和类(上)

    Unit01-OOP-对象和类(上) 1.什么是类?什么是对象?  1)现实生活是由很多很多对象组成的    基于对象抽出了类  2)对象:真实存在的单个的个体    类:类型.类别,代表一类个体  ...

  4. Hadoop学习笔记: MapReduce Java编程简介

    概述 本文主要基于Hadoop 1.0.0后推出的新Java API为例介绍MapReduce的Java编程模型.新旧API主要区别在于新API(org.apache.hadoop.mapreduce ...

  5. iOS,XMPP本地环境搭建和框架使用

    1.XMPP的MySQL和openfire环境配置 2.XmppFramework框架导入和介绍 XMPP的MySQL和openfire环境配置 1.下载mysql安装 mysql下载 打开MySQL ...

  6. 通过SSIS监控远程服务器Windows服务并发送邮件报警!

    利用SSIS不仅可以做BI项目的ETL,而且还可以做一些系统监控和维护工作,由于之前供应商写的Windows服务是读取ESB的消息进行处理,且通过OA流程与访客系统进行了集成,无论是ESB出现状况,还 ...

  7. JSP 运行

    Tomcat 上运行 JSP 应用程序 完成一些包装工作后,才能在 Tomcat 上运行 index.jsp 程序.通常需要按照以下步骤操作: 创建 JSP 应用程序.如果只使用一个页面,则称它为 i ...

  8. C# 实现 微软WebRequestMethods.Ftp类中的FTP操作功能

    先奉献一个测试地址,ftp内的文件请勿删除,谢谢 FtpEntity fe = "); 由于代码量较多,只抽出一部分,详细代码请移步  ftp://wjshan0808.3vhost.net ...

  9. android IntentFilter 使用之 data过滤

    1 Intent分为两大类,显式和隐式. 显式事件,就是指通过 component Name 属性,明确指定了目标组件的事件. 比如我们新建一个Intent,指名道姓的说,此事件用于启动名为" ...

  10. ES5 bind方法

    function getConfig(colors,size,otherOptions){ console.log(colors,size,otherOptions); } var defaultCo ...