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lb := 0
rb := 0

SetMouseDelay,0

LButton::
  Click down
  lb := 1
return

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src/math.rs:328:45: 328:61 error: no method named `pointwise_mul` found for type `iter::Shaped<iter::SparseMap<iter::SparseIntersection<vec::IntoSparseIter<u32>, vec::IntoSparseIter<u32>>, Box<core::ops::FnMut((u32, u32)) -> u32 + 'static>>>` in the current scope
src/math.rs:328 	let a = a.clone().pointwise_mul(a.clone()).pointwise_mul(a);
                	                                           ^~~~~~~~~~~~~~~~
src/math.rs:328:45: 328:61 note: the method `pointwise_mul` exists but the following trait bounds were not satisfied: `iter::Shaped<iter::SparseMap<iter::SparseIntersection<vec::IntoSparseIter<u32>, vec::IntoSparseIter<u32>>, Box<core::ops::FnMut((u32, u32)) -> u32>>> : math::GetValueIter`, `iter::Shaped<iter::SparseMap<iter::SparseIntersection<vec::IntoSparseIter<u32>, vec::IntoSparseIter<u32>>, Box<core::ops::FnMut((u32, u32)) -> u32>>> : math::SparseSparseOps<_>`, `iter::Shaped<iter::SparseMap<iter::SparseIntersection<vec::IntoSparseIter<u32>, vec::IntoSparseIter<u32>>, Box<core::ops::FnMut((u32

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diff --git a/f90nml/parser.py b/f90nml/parser.py
index 687de10..7fb42d7 100644
--- a/f90nml/parser.py
+++ b/f90nml/parser.py
@@ -75,25 +75,39 @@ class Parser(object):
         >>> parser = Parser()
         >>> data_nml = parser.read('data.nml')"""
 
-        nml_file = open(nml_fname, 'r')
+        nml_is_file = hasattr(nml_fname, 'read')

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extern crate num_integer;
extern crate num_traits;
use num_integer::Integer;
use num_traits::{PrimInt,Signed,Zero,One};

#[derive(Copy,Clone,Debug,Eq,PartialEq)]
pub struct GcdData<X> {
	// greatest common divisor
	pub gcd: X,
	// least common multiple

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Guide I am following:

https://doc.rust-lang.org/book/advanced-linking.html

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:SyntasticInfo
Syntastic version: 3.7.0-180 (Vim 704, Linux)
Info for filetype: rust
Global mode: active
Passive filetypes: asm python
Filetype rust is active
The current file will be checked automatically
Available checker: rustc
Currently enabled checker: rustc

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use serde;
use serde::de::Deserialize;
use serde_json as json;
use std::collections::BTreeSet;
use itertools::Itertools;

use ::util::MyIteratorExt;
use ::layers::{Layers,Layer};
use ::ruleset::traits::RuleSet;

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-- | @'sieveFactor' fs n@ finds the prime factorisation of @n@ using the 'FactorSieve' @fs@.
--   For negative @n@, a factor of @-1@ is included with multiplicity @1@.
--   After stripping any present factors @2@, the remaining cofactor @c@ (if larger
--   than @1@) is factorised with @fs@. This is most efficient of course if @c@ does not
--   exceed the bound with which @fs@ was constructed. If it does, trial division is performed
--   until either the cofactor falls below the bound or the sieve is exhausted. In the latter
--   case, the elliptic curve method is used to finish the factorisation.
sieveFactor :: FactorSieve -> Integer -> [(Integer,Int)]
sieveFactor (FS bnd sve) = check
  where

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#![feature(step_by)]
#![feature(test)]
pub extern crate test;

use test::Bencher;

// Using a segmented sieve method for factorization.

// This has a couple of speed advantages that are not possible to offer
// currently through the abstractions present in my `factor` crate.

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Notes about my setup:

• IHaskell repo was cloned to ~/build/IHaskell
• notebook root (and cabal.sandbox.config) is at ~/ihaskell/.
• sandbox is at ~/ihaskell/sandbox/.cabal-sandbox. (I relocated it as part of a misguided attempt to reduce the number of instances of "an add-source dependency has updated")

As I noted in the issue:

• The Docker image works fine.
  • But I do not use it because I want to install more packages.
• Dynamic linking also fixes the error