Fixed doc & made readme more clear

README.md

@@ -1,9 +1,19 @@
-Nim bindings to the FFTW3 library.
+Nim bindings to the FFTW3 library, to compute Fourier transforms of various kinds with high performance.
 
-Read the doc : https://clonkk.github.io/nimfftw3/doc/fftw3.html
+# Installation
 
-Set of Nim bindings to the excellent FFTW library, to compute Fourier transforms of various kinds with high performance.
+Use nimble `nimble install fftw3` to install the latest released version
+
+# Usage
+
+I advise to read the fftw documentation :
+
+You can find the generated documentation here with the complete API and examples : https://clonkk.github.io/nimfftw3/doc/fftw3.html
+
+# History
 
 These bindings were originally generated here : https://github.com/ziotom78/nimfftw3/blob/master/fftw3.nim
 
+# License
+
 These bindings are released under a LGPL license. FFTW3 is released under a GPLv2 or above license.

doc/fftw3.html

@@ -1440,7 +1440,7 @@ <h1><a class="toc-backref" href="#12">Procs</a></h1>
       <div class="twelve-columns footer">
         <span class="nim-sprite"></span>
         <br/>
-        <small style="color: var(--hint);">Made with Nim. Generated: 2020-06-10 12:19:53 UTC</small>
+        <small style="color: var(--hint);">Made with Nim. Generated: 2020-07-24 10:10:07 UTC</small>
       </div>
     </div>
   </div>

tests/test1.nim

@@ -30,12 +30,15 @@ proc main()=
   var orig = newTensor[Complex64](dims)
   let ifft = fftw_plan_dft(output, orig, FFTW_BACKWARD, FFTW_ESTIMATE)
   fftw_execute_dft(ifft, output, orig)
+
+  # FFTW does not normalize inverse fft
   let size = complex(orig.size.float64)
   orig = orig /. size
 
   test "fftw_plan_dft ifft(fft(x)) compared to original data":
     check compare(randData, orig.map(x => x.re))
 
   fftw_destroy_plan(fft)
+  fftw_destroy_plan(ifft)
 
 main()