Fix AppVeyor?

Author: raphaelvallat

README.rst

@@ -63,7 +63,7 @@ Entropy
     print(svd_entropy(x, order=3, delay=1, normalize=True))         # Singular value decomposition entropy
     print(app_entropy(x, order=2, metric='chebyshev'))              # Approximate entropy
     print(sample_entropy(x, order=2, metric='chebyshev'))           # Sample entropy
-    print(lziv_complexity('01111000011001', normalize=True))                        # Lempel-Ziv complexity
+    print(lziv_complexity('01111000011001', normalize=True))        # Lempel-Ziv complexity
 
 .. parsed-literal::
 
@@ -112,7 +112,6 @@ Here are some benchmarks computed on an average PC (i7-7700HQ CPU @ 2.80 Ghz - 8
     %timeit petrosian_fd(x)
     %timeit katz_fd(x)
     %timeit higuchi_fd(x) # Numba
-    # Other
     %timeit detrended_fluctuation(x) # Numba
 
 .. parsed-literal::
@@ -139,7 +138,7 @@ Note that this program is provided with NO WARRANTY OF ANY KIND. If you can, alw
 Acknowledgement
 ===============
 
-Several functions of EntroPy were borrowed from:
+Several functions of EntroPy were adapted from:
 
 - MNE-features: https://github.com/mne-tools/mne-features
 - pyEntropy: https://github.com/nikdon/pyEntropy

appveyor.yml

@@ -16,14 +16,10 @@ install:
   - "conda update -q conda"
   - "conda info -a"
   - "conda create -q -n testenv python=%PYTHON_VERSION% numpy scipy matplotlib pip cython"
-  # Activate testing environnement :
-  - "activate testenv"
-  - "python -m pip install --upgrade pip"
-  # Install dependencies :
-  - "pip install pytest scikit-learn numba"
-  - "dir"
-  # ------------------- ENTROPY -------------------
-  - "python setup.py develop"
+  - activate test_env
+  - pip install -r requirements.txt
+  - pip install -r requirements-test.txt
+  - pip install .
 
 test_script:
-  - "pytest --doctest-modules"
+  - "pytest"

docs/build/html/_modules/entropy/entropy.html

@@ -594,6 +594,8 @@ <h1>Source code for entropy.entropy</h1><div class="highlight"><pre>
     <span class="sd">&quot;&quot;&quot;</span>
 <span class="sd">    Lempel-Ziv (LZ) complexity of binary sequence.</span>
 
+<span class="sd">    .. versionadded:: 0.1.1</span>
+
 <span class="sd">    Parameters</span>
 <span class="sd">    ----------</span>
 <span class="sd">    binary_sequence : str or array</span>

docs/build/html/_sources/index.rst.txt

@@ -58,7 +58,7 @@ Entropy
     print(svd_entropy(x, order=3, delay=1, normalize=True))         # Singular value decomposition entropy
     print(app_entropy(x, order=2, metric='chebyshev'))              # Approximate entropy
     print(sample_entropy(x, order=2, metric='chebyshev'))           # Sample entropy
-    print(lziv_complexity('01111000011001', normalize=True))                        # Lempel-Ziv complexity
+    print(lziv_complexity('01111000011001', normalize=True))        # Lempel-Ziv complexity
 
 .. parsed-literal::
 
@@ -107,7 +107,6 @@ Here are some benchmarks computed on an average PC (i7-7700HQ CPU @ 2.80 Ghz - 8
     %timeit petrosian_fd(x)
     %timeit katz_fd(x)
     %timeit higuchi_fd(x) # Numba (fast)
-    # Other
     %timeit detrended_fluctuation(x) # Numba (fast)
 
 .. parsed-literal::
@@ -134,7 +133,7 @@ Note that this program is provided with NO WARRANTY OF ANY KIND. If you can, alw
 Acknowledgement
 ===============
 
-Several functions of EntroPy were borrowed from:
+Several functions of EntroPy were adapted from:
 
 - MNE-features: https://github.com/mne-tools/mne-features
 - pyEntropy: https://github.com/nikdon/pyEntropy

docs/build/html/generated/entropy.lziv_complexity.html

@@ -91,6 +91,9 @@ <h1>entropy.lziv_complexity</h1>
 <dt id="entropy.lziv_complexity">
 <code class="sig-prename descclassname">entropy.</code><code class="sig-name descname">lziv_complexity</code><span class="sig-paren">(</span><em class="sig-param">binary_sequence</em>, <em class="sig-param">normalize=False</em><span class="sig-paren">)</span><a class="reference internal" href="../_modules/entropy/entropy.html#lziv_complexity"><span class="viewcode-link">[source]</span></a></dt>
 <dd><p>Lempel-Ziv (LZ) complexity of binary sequence.</p>
+<div class="versionadded">
+<p><span class="versionmodified added">New in version 0.1.1.</span></p>
+</div>
 <dl class="field-list simple">
 <dt class="field-odd">Parameters</dt>
 <dd class="field-odd"><dl class="simple">

docs/build/html/index.html

@@ -128,7 +128,7 @@ <h2>Entropy</h2>
 <span class="k">print</span><span class="p">(</span><span class="n">svd_entropy</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">3</span><span class="p">,</span> <span class="n">delay</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">normalize</span><span class="o">=</span><span class="bp">True</span><span class="p">))</span>         <span class="c1"># Singular value decomposition entropy</span>
 <span class="k">print</span><span class="p">(</span><span class="n">app_entropy</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s1">&#39;chebyshev&#39;</span><span class="p">))</span>              <span class="c1"># Approximate entropy</span>
 <span class="k">print</span><span class="p">(</span><span class="n">sample_entropy</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="n">order</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">metric</span><span class="o">=</span><span class="s1">&#39;chebyshev&#39;</span><span class="p">))</span>           <span class="c1"># Sample entropy</span>
-<span class="k">print</span><span class="p">(</span><span class="n">lziv_complexity</span><span class="p">(</span><span class="s1">&#39;01111000011001&#39;</span><span class="p">,</span> <span class="n">normalize</span><span class="o">=</span><span class="bp">True</span><span class="p">))</span>                        <span class="c1"># Lempel-Ziv complexity</span>
+<span class="k">print</span><span class="p">(</span><span class="n">lziv_complexity</span><span class="p">(</span><span class="s1">&#39;01111000011001&#39;</span><span class="p">,</span> <span class="n">normalize</span><span class="o">=</span><span class="bp">True</span><span class="p">))</span>        <span class="c1"># Lempel-Ziv complexity</span>
 </pre></div>
 </div>
 <div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="mf">0.9995858289645746</span>
@@ -173,7 +173,6 @@ <h1>Execution time</h1>
 <span class="o">%</span><span class="n">timeit</span> <span class="n">petrosian_fd</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
 <span class="o">%</span><span class="n">timeit</span> <span class="n">katz_fd</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
 <span class="o">%</span><span class="n">timeit</span> <span class="n">higuchi_fd</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="c1"># Numba (fast)</span>
-<span class="c1"># Other</span>
 <span class="o">%</span><span class="n">timeit</span> <span class="n">detrended_fluctuation</span><span class="p">(</span><span class="n">x</span><span class="p">)</span> <span class="c1"># Numba (fast)</span>
 </pre></div>
 </div>
@@ -197,7 +196,7 @@ <h1>Development</h1>
 </div>
 <div class="section" id="acknowledgement">
 <h1>Acknowledgement</h1>
-<p>Several functions of EntroPy were borrowed from:</p>
+<p>Several functions of EntroPy were adapted from:</p>
 <ul class="simple">
 <li><p>MNE-features: <a class="reference external" href="https://github.com/mne-tools/mne-features">https://github.com/mne-tools/mne-features</a></p></li>
 <li><p>pyEntropy: <a class="reference external" href="https://github.com/nikdon/pyEntropy">https://github.com/nikdon/pyEntropy</a></p></li>

docs/build/html/searchindex.js

@@ -58,7 +58,7 @@ Entropy
     print(svd_entropy(x, order=3, delay=1, normalize=True))         # Singular value decomposition entropy
     print(app_entropy(x, order=2, metric='chebyshev'))              # Approximate entropy
     print(sample_entropy(x, order=2, metric='chebyshev'))           # Sample entropy
-    print(lziv_complexity('01111000011001', normalize=True))                        # Lempel-Ziv complexity
+    print(lziv_complexity('01111000011001', normalize=True))        # Lempel-Ziv complexity
 
 .. parsed-literal::
 
@@ -107,7 +107,6 @@ Here are some benchmarks computed on an average PC (i7-7700HQ CPU @ 2.80 Ghz - 8
     %timeit petrosian_fd(x)
     %timeit katz_fd(x)
     %timeit higuchi_fd(x) # Numba (fast)
-    # Other
     %timeit detrended_fluctuation(x) # Numba (fast)
 
 .. parsed-literal::
@@ -134,7 +133,7 @@ Note that this program is provided with NO WARRANTY OF ANY KIND. If you can, alw
 Acknowledgement
 ===============
 
-Several functions of EntroPy were borrowed from:
+Several functions of EntroPy were adapted from:
 
 - MNE-features: https://github.com/mne-tools/mne-features
 - pyEntropy: https://github.com/nikdon/pyEntropy

docs/index.rst

@@ -506,6 +506,8 @@ def lziv_complexity(binary_sequence, normalize=False):
     """
     Lempel-Ziv (LZ) complexity of binary sequence.
 
+    .. versionadded:: 0.1.1
+
     Parameters
     ----------
     binary_sequence : str or array