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2 changes: 1 addition & 1 deletion 2012-07-10-Marc调用Python脚本程序中关于目录操作的几个问题/index.html
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<li class="nav-item" data-level="2"><a href="#importerror no module named os" class="nav-link">ImportError: No module named os</a>
<li class="nav-item" data-level="2"><a href="#importerror no module named os" class="nav-link">ImportError: No module named os</a>
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8 changes: 4 additions & 4 deletions 2015-11-15-python中使用mlab库实现与MATLAB交互/index.html
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<li class="nav-item" data-level="2"><a href="#1" class="nav-link">官方示例 1</a>
<li class="nav-item" data-level="2"><a href="#_1" class="nav-link">官方示例</a>
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</ul>
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<li class="nav-item" data-level="2"><a href="#_1" class="nav-link">调用自定义函数</a>
<li class="nav-item" data-level="2"><a href="#_2" class="nav-link">调用自定义函数</a>
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Expand Down Expand Up @@ -168,7 +168,7 @@ <h2 id="mlab_1">mlab获取和安装<a class="headerlink" href="#mlab_1" title="P

<p>导入mlab库后即可方便地使用matlab函数了：</p>
<pre class="highlight"><code class="language-python">from mlab.releases import latest_release as matlab</code></pre>
<h2 id="1">官方示例 <sup id="fnref:1"><a class="footnote-ref" href="#fn:1">1</a></sup><a class="headerlink" href="#1" title="Permanent link">&para;</a></h2>
<h2 id="_1">官方示例 <sup id="fnref:1"><a class="footnote-ref" href="#fn:1">1</a></sup><a class="headerlink" href="#_1" title="Permanent link">&para;</a></h2>
<pre class="codehilite"><code>from mlab.releases import latest_release as matlab
import numpy as np

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</code></pre>

<p><img alt="" src="../images/2015-11-15-01.png" /></p>
<h2 id="_1">调用自定义函数<a class="headerlink" href="#_1" title="Permanent link">&para;</a></h2>
<h2 id="_2">调用自定义函数<a class="headerlink" href="#_2" title="Permanent link">&para;</a></h2>
<p>当然，也可以调用自定义的matlab函数。例如新建函数文件<code>myfun.m</code>，保存在当前python代码所在目录：</p>
<pre class="codehilite"><code>function [y1, y2] = myfun(x,y)
y1 = x + 1;
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8 changes: 4 additions & 4 deletions 2019-04-21-Python-win32com模块操作Excel：基本读写/index.html
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<li class="nav-item" data-level="2"><a href="#4 5" class="nav-link">开启/关闭自动计算 4 5</a>
<li class="nav-item" data-level="2"><a href="#_4" class="nav-link">开启/关闭自动计算</a>
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<li class="nav-item" data-level="2"><a href="#_4" class="nav-link">引用管理</a>
<li class="nav-item" data-level="2"><a href="#_5" class="nav-link">引用管理</a>
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Expand Down Expand Up @@ -196,7 +196,7 @@ <h2 id="_3">开启/关闭工作表保护<a class="headerlink" href="#_3" title="
# reset protection status
if status:
sheet.Protect()</code></pre>
<h2 id="4 5">开启/关闭自动计算 <sup id="fnref:4"><a class="footnote-ref" href="#fn:4">4</a></sup> <sup id="fnref:5"><a class="footnote-ref" href="#fn:5">5</a></sup><a class="headerlink" href="#4 5" title="Permanent link">&para;</a></h2>
<h2 id="_4">开启/关闭自动计算 <sup id="fnref:4"><a class="footnote-ref" href="#fn:4">4</a></sup> <sup id="fnref:5"><a class="footnote-ref" href="#fn:5">5</a></sup><a class="headerlink" href="#_4" title="Permanent link">&para;</a></h2>
<p>Excel默认开启自动计算，那么当工作表内单元格公式非常多时，每录入一个数据都将触发相关单元格的更新计算，影响操作效率。因此此种情况下，一般先设置为手动更新，待输入完成后设置自动更新。以下为示例代码：</p>
<pre class="highlight"><code class="language-python"># sample Excel and workbook
app = win32com.client.Dispatch("Excel.Application")
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#
app.Calculation = -4105
wb.Application.CalculateFullRebuild()</code></pre>
<h2 id="_4">引用管理<a class="headerlink" href="#_4" title="Permanent link">&para;</a></h2>
<h2 id="_5">引用管理<a class="headerlink" href="#_5" title="Permanent link">&para;</a></h2>
<p>VBA代码可能跨工作簿引用函数，例如COM组件中的类和方法，但前期可能没有正确加载该引用。手工加载引用的流程为：<code>Developer</code> -&gt; <code>Visual basic</code> -&gt; <code>Tools</code> -&gt; <code>References...</code>，而<code>workbook.VBProject.References</code>则从程序设置的角度管理当前VBA工程已经添加的引用。</p>
<p>一个引用通常包含名称、路径、版本号等信息，我们首先可以遍历显示所有已加载引用的信息：</p>
<pre class="highlight"><code class="language-python">for ref in wb.VBProject.References:
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16 changes: 8 additions & 8 deletions 2021-06-06-pytest参数化测试/index.html
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<li class="nav-item" data-level="2"><a href="#pytestfixture 1" class="nav-link">从pytest.fixture()开始 1</a>
<li class="nav-item" data-level="2"><a href="#pytestfixture" class="nav-link">从pytest.fixture()开始</a>
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<li class="nav-item" data-level="2"><a href="#pytestmarkparametrize 2" class="nav-link">再到@pytest.mark.parametrize 2</a>
<li class="nav-item" data-level="2"><a href="#pytestmarkparametrize" class="nav-link">再到@pytest.mark.parametrize</a>
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<li class="nav-item" data-level="2"><a href="#3" class="nav-link">动态生成参数化测试案例 3</a>
<li class="nav-item" data-level="2"><a href="#_2" class="nav-link">动态生成参数化测试案例</a>
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<li class="nav-item" data-level="2"><a href="#4 5" class="nav-link">注册命令行参数 4 5</a>
<li class="nav-item" data-level="2"><a href="#_3" class="nav-link">注册命令行参数</a>
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<li>默认测试所有案例</li>
<li>如果输入参数<code>n</code>，则只测试前<code>n</code>个案例</li>
</ul>
<h2 id="pytestfixture 1">从pytest.fixture()开始 <sup id="fnref:1"><a class="footnote-ref" href="#fn:1">1</a></sup><a class="headerlink" href="#pytestfixture 1" title="Permanent link">&para;</a></h2>
<h2 id="pytestfixture">从pytest.fixture()开始 <sup id="fnref:1"><a class="footnote-ref" href="#fn:1">1</a></sup><a class="headerlink" href="#pytestfixture" title="Permanent link">&para;</a></h2>
<p>顾名思义，<code>fixture</code>是辅助测试函数的工装夹具，其中<code>params</code>参数提供了参数化输入的功能，每一个参数都会被创建为一个独立的测试案例。一个简单的例子：</p>
<pre class="highlight"><code class="language-python"># test.py
import pytest
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PASSED
test.py::test[test-003] Testing test-003
PASSED</code></pre>
<h2 id="pytestmarkparametrize 2">再到@pytest.mark.parametrize <sup id="fnref:2"><a class="footnote-ref" href="#fn:2">2</a></sup><a class="headerlink" href="#pytestmarkparametrize 2" title="Permanent link">&para;</a></h2>
<h2 id="pytestmarkparametrize">再到@pytest.mark.parametrize <sup id="fnref:2"><a class="footnote-ref" href="#fn:2">2</a></sup><a class="headerlink" href="#pytestmarkparametrize" title="Permanent link">&para;</a></h2>
<p>与<code>fixture</code>类似，<code>pytest.mark.parametrize</code>装饰器也提供了参数化输入的功能。<code>fixture</code>例子中，测试函数的参数<code>get_input</code>是一个<code>fixture</code>，本例中<code>get_input</code>是一个自定义的参数名称。</p>
<pre class="highlight"><code class="language-python">import pytest

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def test(get_input):
print(f'Testing {get_input}')</code></pre>
<p>以上两种方式都满足了 <strong>为每一个样本创建独立测试案例</strong> 的需求，然而问题是输入参数是以硬编码的方式写死的，可扩展性很差。于是，引出了下面的参数化测试方法。</p>
<h2 id="3">动态生成参数化测试案例 <sup id="fnref:3"><a class="footnote-ref" href="#fn:3">3</a></sup><a class="headerlink" href="#3" title="Permanent link">&para;</a></h2>
<h2 id="_2">动态生成参数化测试案例 <sup id="fnref:3"><a class="footnote-ref" href="#fn:3">3</a></sup><a class="headerlink" href="#_2" title="Permanent link">&para;</a></h2>
<p><code>pytest_generate_tests(metafunc)</code>是pytest自带的在收集测试函数时调用的钩子函数，以便按照自定义方式、动态地生成参数化方案。其中，<code>metafunc</code>参数可以检查请求的测试上下文，</p>
<ul>
<li>
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def test(get_input):
print(f'Testing {get_input}')</code></pre>
<p>这个例子不再直接给出硬编码的<code>test-001</code>~<code>test-003</code>，而是根据需要动态生成的，这为实际应用带来无限可能。但是，其中测试案例个数<code>3</code>还是硬编码方式写入的！为了实现终极目标，我们必须引入命令行参数。</p>
<h2 id="4 5">注册命令行参数 <sup id="fnref:4"><a class="footnote-ref" href="#fn:4">4</a></sup> <sup id="fnref:5"><a class="footnote-ref" href="#fn:5">5</a></sup><a class="headerlink" href="#4 5" title="Permanent link">&para;</a></h2>
<h2 id="_3">注册命令行参数 <sup id="fnref:4"><a class="footnote-ref" href="#fn:4">4</a></sup> <sup id="fnref:5"><a class="footnote-ref" href="#fn:5">5</a></sup><a class="headerlink" href="#_3" title="Permanent link">&para;</a></h2>
<p><code>pytest_addoption(parser)</code>是另一个pytest钩子函数，可以让用户注册一个自定义的命令行参数，然后通过<code>fixture</code>或其他钩子获取用户输入。</p>
<ul>
<li><code>parser.addoption</code>注册命令行参数</li>
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