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<p>Generated by Cython 0.18-pre on Fri Jan 25 15:35:15 2013
<p>Raw output: <a href="_libstat.c">_libstat.c</a>
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</pre><pre class='line' style='background-color: #FFFF8d' onclick='toggleDiv("line2")'> 2: import numpy as np</pre>
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<pre id='line3' class='code' style='background-color: #FFFFff'></pre><pre class='line' style='background-color: #FFFFff' onclick='toggleDiv("line4")'> 4: from libc.math cimport exp,pow,fabs,log,tgamma,lgamma,log1p,sqrt</pre>
<pre id='line4' class='code' style='background-color: #FFFFff'></pre><pre class='line' style='background-color: #FFFF41' onclick='toggleDiv("line5")'> 5: from warnings import warn</pre>
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/* "probfit/_libstat.pyx":5
* cimport numpy as np
* from libc.math cimport exp,pow,fabs,log,tgamma,lgamma,log1p,sqrt
* from warnings import warn # <code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code>
* from probfit_warnings import LogWarning
* np.import_array()
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</pre><pre class='line' style='background-color: #FFFF41' onclick='toggleDiv("line6")'> 6: from probfit_warnings import LogWarning</pre>
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</pre><pre class='line' style='background-color: #FFFFff' onclick='toggleDiv("line7")'> 7: np.import_array()</pre>
<pre id='line7' class='code' style='background-color: #FFFFff'>
/* "probfit/_libstat.pyx":7
* from warnings import warn
* from probfit_warnings import LogWarning
* np.import_array() # <code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code>
*
* cpdef np.ndarray[np.double_t] _vector_apply(f,np.ndarray[np.double_t] x,tuple arg):
*/
import_array();
</pre><pre class='line' style='background-color: #FFFFff' onclick='toggleDiv("line8")'> 8: </pre>
<pre id='line8' class='code' style='background-color: #FFFFff'></pre><pre class='line' style='background-color: #FFFF5b' onclick='toggleDiv("line9")'> 9: cpdef np.ndarray[np.double_t] _vector_apply(f,np.ndarray[np.double_t] x,tuple arg):</pre>
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<pre id='line11' class='code' style='background-color: #FFFFaa'>
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<pre id='line14' class='code' style='background-color: #FFFFff'>
/* "probfit/_libstat.pyx":14
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<pre id='line15' class='code' style='background-color: #FFFF31'>
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<pre id='line17' class='code' style='background-color: #FFFF20'>
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</pre><pre class='line' style='background-color: #FFFFc4' onclick='toggleDiv("line31")'> 31: cdef np.ndarray[np.double_t] y = _vector_apply(f,edges,arg)</pre>
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/* "probfit/_libstat.pyx":31
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</pre><pre class='line' style='background-color: #FFFF18' onclick='toggleDiv("line32")'> 32: return csum(y*bw)-0.5*(y[0]+y[-1])*bw#trapezoid</pre>
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</pre><pre class='line' style='background-color: #FFFFff' onclick='toggleDiv("line33")'> 33: </pre>
<pre id='line33' class='code' style='background-color: #FFFFff'></pre><pre class='line' style='background-color: #FFFFff' onclick='toggleDiv("line34")'> 34: </pre>
<pre id='line34' class='code' style='background-color: #FFFFff'></pre><pre class='line' style='background-color: #FFFFff' onclick='toggleDiv("line35")'> 35: #to do runge kutta or something smarter</pre>
<pre id='line35' class='code' style='background-color: #FFFFff'></pre><pre class='line' style='background-color: #FFFF1c' onclick='toggleDiv("line36")'> 36: cpdef double integrate1d(f, tuple bound, int nint, tuple arg=None) except*:</pre>
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</pre><pre class='line' style='background-color: #FFFF9f' onclick='toggleDiv("line37")'> 37: if arg is None: arg = tuple()</pre>
<pre id='line37' class='code' style='background-color: #FFFF9f'>
/* "probfit/_libstat.pyx":37
* #to do runge kutta or something smarter
* cpdef double integrate1d(f, tuple bound, int nint, tuple arg=None) except*:
* if arg is None: arg = tuple() # <code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code><code><</code>
* cdef double ret = 0
* cdef np.ndarray[np.double_t] edges = np.linspace(bound[0],bound[1],nint)
*/
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