Bump nimble

fftw3.nimble

@@ -1,6 +1,6 @@
 # Package
 
-version       = "0.2.5"
+version       = "0.2.6"
 author        = "rcaillaud"
 description   = "Nim FFTW bindings"
 license       = "LGPL-2.1"
@@ -10,4 +10,4 @@ srcDir        = "src"
 # Dependencies
 
 requires "nim >= 1.2.0"
-requires "arraymancer"
+requires "arraymancer >= 0.5.2"

htmldocs/fftw3.html

@@ -877,7 +877,7 @@ <h1><a class="toc-backref" href="#12">Procs</a></h1>
 
 <p><strong class="examples_text">Example:</strong></p>
 <pre class="listing"><span class="Keyword">import</span><span class="Whitespace"> </span><span class="Identifier">arraymancer</span><span class="Whitespace">
-</span><span class="Keyword">let</span><span class="Whitespace"> </span><span class="Identifier">input_tensor</span><span class="Whitespace"> </span><span class="Operator">=</span><span class="Whitespace"> </span><span class="Identifier">randomTensor</span><span class="Punctuation">(</span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="FloatNumber">10.0</span><span class="Punctuation">)</span><span class="Whitespace">
+</span><span class="Keyword">let</span><span class="Whitespace"> </span><span class="Identifier">input_tensor</span><span class="Whitespace"> </span><span class="Operator">=</span><span class="Whitespace"> </span><span class="Identifier">randomTensor</span><span class="Punctuation">[</span><span class="Identifier">float64</span><span class="Punctuation">]</span><span class="Punctuation">(</span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="FloatNumber">10.0</span><span class="Punctuation">)</span><span class="Whitespace">
 </span><span class="Comment"># output_tensor is the fftshift of input_tensor</span><span class="Whitespace">
 </span><span class="Keyword">var</span><span class="Whitespace"> </span><span class="Identifier">output_tensor</span><span class="Whitespace"> </span><span class="Operator">=</span><span class="Whitespace"> </span><span class="Identifier">fftshift</span><span class="Punctuation">(</span><span class="Identifier">input_tensor</span><span class="Punctuation">)</span></pre>Calculate fftshift using circshift
 
@@ -889,7 +889,7 @@ <h1><a class="toc-backref" href="#12">Procs</a></h1>
 
 <p><strong class="examples_text">Example:</strong></p>
 <pre class="listing"><span class="Keyword">import</span><span class="Whitespace"> </span><span class="Identifier">arraymancer</span><span class="Whitespace">
-</span><span class="Keyword">let</span><span class="Whitespace"> </span><span class="Identifier">input_tensor</span><span class="Whitespace"> </span><span class="Operator">=</span><span class="Whitespace"> </span><span class="Identifier">randomTensor</span><span class="Punctuation">(</span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="FloatNumber">10.0</span><span class="Punctuation">)</span><span class="Whitespace">
+</span><span class="Keyword">let</span><span class="Whitespace"> </span><span class="Identifier">input_tensor</span><span class="Whitespace"> </span><span class="Operator">=</span><span class="Whitespace"> </span><span class="Identifier">randomTensor</span><span class="Punctuation">[</span><span class="Identifier">float64</span><span class="Punctuation">]</span><span class="Punctuation">(</span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="DecNumber">10</span><span class="Punctuation">,</span><span class="Whitespace"> </span><span class="FloatNumber">10.0</span><span class="Punctuation">)</span><span class="Whitespace">
 </span><span class="Comment"># output_tensor is the fftshift of input_tensor</span><span class="Whitespace">
 </span><span class="Keyword">var</span><span class="Whitespace"> </span><span class="Identifier">output_tensor</span><span class="Whitespace"> </span><span class="Operator">=</span><span class="Whitespace"> </span><span class="Identifier">ifftshift</span><span class="Punctuation">(</span><span class="Identifier">input_tensor</span><span class="Punctuation">)</span></pre>Calculate inverse fftshift using circshift
 
@@ -1701,7 +1701,7 @@ <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: 2020-10-26 17:10:08 UTC</small>
+        <small style="color: var(--hint);">Made with Nim. Generated: 2020-10-26 17:16:21 UTC</small>
       </div>
     </div>
   </div>

src/fftw3.nim

@@ -161,7 +161,7 @@ proc circshift*[T](t: Tensor[T], shift: seq[int]): Tensor[T]=
 proc fftshift*[T](t: Tensor[T]): Tensor[T]=
   runnableExamples:
     import arraymancer
-    let input_tensor = randomTensor(10, 10, 10, 10.0)
+    let input_tensor = randomTensor[float64](10, 10, 10, 10.0)
     # output_tensor is the fftshift of input_tensor
     var output_tensor = fftshift(input_tensor)
 
@@ -174,7 +174,7 @@ proc fftshift*[T](t: Tensor[T]): Tensor[T]=
 proc ifftshift*[T](t: Tensor[T]): Tensor[T]=
   runnableExamples:
     import arraymancer
-    let input_tensor = randomTensor(10, 10, 10, 10.0)
+    let input_tensor = randomTensor[float64](10, 10, 10, 10.0)
     # output_tensor is the fftshift of input_tensor
     var output_tensor = ifftshift(input_tensor)